{ "count" : 23765, "data" : [ { "id" : "68c2e425f8b1b0376634c612", "title" : "Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 149300.0, "max" : 249300.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T05:30:38.045", "fingerprint" : "737d99f0ecbd367773e7e0b150c46aab09bd6cc0dcb47b3e5bcb9c4bc61ab181", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073811/apply", "externalId" : "67fc366e-6490-4a9b-b3d7-01ae4a830300", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "GenAI, LLMs, Python", "professionalSkills" : [ "Financial analysis", "Accounting", "Business intelligence" ], "hardSkillsList" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions" ], "softSkillsList" : [ "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Statistical algorithms", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model fine-tuning", "level" : "intermediate" }, { "name" : "Agentic solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial insights", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial insights" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust and safety, Establish scalable, efficient, automated processes, Develop training/evaluation datasets, Collaborate with engineering productionalize research, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; Product Managers; Accounting stakeholders", "domainKnowledge" : "Financial domain; Accounting processes", "domainList" : [ "financial-domain", "accounting-processes" ], "domainSpecificKnowledge" : [ "Financial domain", "Accounting processes" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Business problems", "qualificationsBasic" : "3+ years business problems ML, 3+ years programming Java, C++, Python, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience algorithms and data structures, Experience parsing, Experience numerical optimization, Experience data mining, Experience parallel and distributed computing, Experience high-performance computing, Experience patents or publications", "qualificationsPreferred" : "PhD preferred, Experience applying theoretical models", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - 3+ years of programming in Java, C++, Python or related language experience - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience applying theoretical models in an applied environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial insights. Leverage GenAI/LLMs build agentic solutions. Build AI trust and safety", "postedDate" : "2026-06-13T17:08:05.421", "createdAt" : "2026-06-13T17:08:05.421", "lastUpdated" : "2026-06-15T05:30:38.045", "ingestTimestamp" : "2026-06-13T17:08:05.421", "mongoId" : "68c2e425f8b1b0376634c612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073811/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Data mining", "Statistical algorithms", "Anomaly detection", "Model development", "Model validation", "Model fine-tuning", "Agentic solutions", "Written communication", "Verbal communication", "GenAI", "LLMs", "Financial insights", "Financial analysis", "Accounting", "Business intelligence", "Financial domain", "Accounting processes" ], "skillCount" : 18, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 1101.9705, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30605df292fd229cf8b705", "title" : "German Financial Translator", "company" : "Interactive Brokers", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a mid-seniority German Financial Translator in Fort Lauderdale, USA, adjusted for the FinTech industry and company size." }, "location" : "Fort Lauderdale, Florida, United States", "locations" : [ "Fort Lauderdale", "Florida", "United States", "Greenwich", "CT" ], "timestamp" : "2026-06-16T08:36:41.243", "fingerprint" : "725359386953b7b3d92b108171fd10f55cddcdf125abcd938d452769d7dbcff7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ibkr/jobs/8588493002", "externalId" : "8588493002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lauderdale", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "26.1223084,-80.1433786" } ], "locationText" : "Fort Lauderdale, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CAT tool", "professionalSkills" : [ "Translation", "Economics", "Finance", "Time management", "Organizational skills" ], "hardSkillsList" : [ "Financial translation", "Technical translation", "Marketing translation" ], "hardSkills" : [ { "name" : "Financial translation", "level" : "intermediate" }, { "name" : "Technical translation", "level" : "intermediate" }, { "name" : "Marketing translation", "level" : "intermediate" } ], "majorSkills" : "German Financial Translation", "majorSkillsList" : [ "German Financial Translation" ], "coreResponsibilities" : "Translate website content, Translate account application, Translate trading apps, Translate client communication emails, Translate bulletins, Translate announcements, Translate FAQs, Translate User guides, Glossary maintenance, TM maintenance, Perform quality assurance, Proofread translations, Edit translations, Document processing", "teamCollaboration" : "Team collaboration", "domainKnowledge" : "Economics; Finance; Trading", "domainList" : [ "economics", "finance", "trading" ], "domainSpecificKnowledge" : [ "Economics", "Finance", "Trading" ], "toolProficiency" : [ "CAT tool" ], "communicationSkills" : "Written communication; Oral communication", "continuousLearning" : "Learning opportunities; Education reimbursement", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "Native German speaker, Proficient in English, MA or BA degree in Translation, CAT tool daily operation experience, Minimum 3 years relevant experience, Knowledge of basic trading, Familiarity with technical translation, Familiarity with marketing translation, Proven time-management skills, Proven organisational skills", "qualificationsPreferred" : "Configuration of CAT tools, Advanced use of CAT tools, Experience with AI technology", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (4 days in office /1 day remote) About your Team: Due to the rapid growth and expansion of our business activities in various markets, we have the following full-time opening for an experienced, motivated, and technology-oriented individual for a German Financial Translator (English to German and vice versa). What will be your responsibilities within IBKR: We are looking for a professional translator with a strong focus on economics and finance, and the ability to work efficiently and independently to meet tight deadlines in a fast-paced environment while keeping a strong sense of team collaboration. In this position you will be required to: Translate a variety of content, such as website, account application, trading apps (IBKR Desktop, Client Portal, IBKR Mobile), etc. Translate client communication emails, bulletins, and announcements Translate FAQs and User guides Glossary and TM maintenance Perform quality assurance on existing translations (proofread and edit) Document processing What required skill’s you need: Native German speaker Proficient in English MA or BA degree in Translation or related discipline Excellent written and oral communication skills CAT tool daily operation experience is a requirement (configuration and advanced use is a plus) Experience with the use of AI technology in an auxiliary function for translation is a strong advantage Minimum 3 years relevant experience with a financial institution, or translating finance-related content Knowledge of basic trading terms; familiarity with technical and marketing translation Proven time-management and organisational skills Personality: Self-confident, open, flexible, and able to work independently in a team-oriented environment To be successful in this position, you will have the following: Self-motivated and able to handle tasks with minimal supervision. Superb analytical and problem-solving skills. Excellent collaboration and communication (Verbal and written) skills. Outstanding organizational and time management skills. Company Benefits & Perks Competitive salary, annual performance-based bonus and stock grant Retirement plan 401(k) with competitive company match Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium. Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP) Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack Corporate events including team outings, dinners, volunteer activities and company sports teams Education reimbursement and learning opportunities", "summaryDescription" : "German Financial Translator at Interactive Brokers. Skills: German Financial Translation. Translate website content. Translate account application", "postedDate" : "2026-06-15T23:23:46.636", "createdAt" : "2026-06-15T23:23:46.636", "lastUpdated" : "2026-06-16T08:36:41.243", "ingestTimestamp" : "2026-06-15T23:23:46.636", "mongoId" : "6a30605df292fd229cf8b705", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial translation", "Technical translation", "Marketing translation", "German Financial Translation", "Translation", "Economics", "Finance", "Time management", "Organizational skills", "Trading", "CAT tool" ], "skillCount" : 11, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1002.2404, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30605df292fd229cf8b707", "title" : "German Financial Translator", "company" : "Interactive Brokers", "industry" : "FinTech", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Financial Translator in Fort Lauderdale, USA, adjusted for mid-seniority and full-time employment in the financial services industry." }, "location" : "Fort Lauderdale, Florida, United States", "locations" : [ "Fort Lauderdale", "Florida", "United States", "Greenwich", "CT" ], "timestamp" : "2026-06-16T08:52:49.814", "fingerprint" : "23485cc7bad496dc1c0426bc766e12932e7d404758fde0846b5ea98f779f88ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ibkr/jobs/8588491002", "externalId" : "8588491002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fort Lauderdale", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "26.1223084,-80.1433786" } ], "locationText" : "Fort Lauderdale, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "CAT tool", "professionalSkills" : [ "Financial translation", "Marketing translation" ], "hardSkillsList" : [ "Translation", "Proofreading", "Editing", "Document processing" ], "hardSkills" : [ { "name" : "Translation", "level" : "intermediate" }, { "name" : "Proofreading", "level" : "intermediate" }, { "name" : "Editing", "level" : "intermediate" }, { "name" : "Document processing", "level" : "intermediate" } ], "majorSkills" : "German translation, Financial content", "majorSkillsList" : [ "German translation", "Financial content" ], "coreResponsibilities" : "Translate website content, Translate account application, Translate trading apps, Translate client communication emails, Translate bulletins, Translate announcements, Translate FAQs, Translate User guides, Maintain Glossary, Maintain TM, Perform quality assurance, Proofread existing translations, Edit existing translations, Process documents", "teamCollaboration" : "Team collaboration", "domainKnowledge" : "Economics; Finance", "domainList" : [ "economics", "finance" ], "domainSpecificKnowledge" : [ "Economics", "Finance" ], "toolProficiency" : [ "CAT tool" ], "communicationSkills" : "Written communication; Oral communication", "continuousLearning" : "Learning opportunities", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "Native German speaker, Proficient in English, MA or BA degree in Translation, 3 years relevant experience, Financial institution experience, Translating finance-related content experience", "qualificationsPreferred" : "CAT tool configuration, CAT tool advanced use, AI technology in translation use", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (4 days in office /1 day remote) About your Team: Due to the rapid growth and expansion of our business activities in various markets, we have the following full-time opening for an experienced, motivated, and technology-oriented individual for a German Financial Translator (English to German and vice versa). What will be your responsibilities within IBKR: We are looking for a professional translator with a strong focus on economics and finance, and the ability to work efficiently and independently to meet tight deadlines in a fast-paced environment while keeping a strong sense of team collaboration. In this position you will be required to: Translate a variety of content, such as website, account application, trading apps (IBKR Desktop, Client Portal, IBKR Mobile), etc. Translate client communication emails, bulletins, and announcements Translate FAQs and User guides Glossary and TM maintenance Perform quality assurance on existing translations (proofread and edit) Document processing What required skill’s you need: Native German speaker Proficient in English MA or BA degree in Translation or related discipline Excellent written and oral communication skills CAT tool daily operation experience is a requirement (configuration and advanced use is a plus) Experience with the use of AI technology in an auxiliary function for translation is a strong advantage Minimum 3 years relevant experience with a financial institution, or translating finance-related content Knowledge of basic trading terms; familiarity with technical and marketing translation Proven time-management and organisational skills Personality: Self-confident, open, flexible, and able to work independently in a team-oriented environment To be successful in this position, you will have the following: Self-motivated and able to handle tasks with minimal supervision. Superb analytical and problem-solving skills. Excellent collaboration and communication (Verbal and written) skills. Outstanding organizational and time management skills. Company Benefits & Perks Competitive salary, annual performance-based bonus and stock grant Retirement plan 401(k) with competitive company match Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium. Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP) Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack Corporate events including team outings, dinners, volunteer activities and company sports teams Education reimbursement and learning opportunities", "summaryDescription" : "German Financial Translator at Interactive Brokers. Skills: German translation, Financial content. Translate website content. Translate account application", "postedDate" : "2026-06-15T23:27:05.797", "createdAt" : "2026-06-15T23:27:05.797", "lastUpdated" : "2026-06-16T08:52:49.814", "ingestTimestamp" : "2026-06-15T23:27:05.797", "mongoId" : "6a30605df292fd229cf8b707", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 110000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Translation", "Proofreading", "Editing", "Document processing", "German translation", "Financial content", "Financial translation", "Marketing translation", "Economics", "Finance", "CAT tool" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1001.2987, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e425f8b1b0376634c611", "title" : "Sr. Applied Scientist, Financial Insights and Actions", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Applied Science, ecp", "salary" : { "min" : 195900.0, "max" : 327200.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T02:50:50.803", "fingerprint" : "90ec9c441a06a19c5d2b4c2a3d8d852aae8f09a90723afa93c472a9806b6e615", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073810/apply", "externalId" : "657e7d3d-2f15-4c56-8767-ceeeb2f6db26", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, Neural deep learning, Machine learning, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark, GenAI, LLMs", "professionalSkills" : [ "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain" ], "hardSkillsList" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Model serving", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Machine learning, GenAI, LLMs, Financial analysis", "majorSkillsList" : [ "Machine learning", "GenAI", "LLMs", "Financial analysis" ], "coreResponsibilities" : "Leverage GenAI/LLMs build agentic solutions, Build AI trust safety, Establish scalable automated processes, Develop training evaluation datasets, Collaborate with engineering productionalize research, Define science direction, Influence senior leadership, Mentor grow scientists, Develop anomaly detection models, Build multi-agent systems, Fine-tune LLMs provide recommendations", "teamCollaboration" : "Domain experts; Engineers; Scientists; SDEs; Product Managers; Accounting stakeholders", "domainKnowledge" : "Accounting; Finance; Financial transactions; Financial processes", "domainList" : [ "accounting", "finance", "financial-transactions", "financial-processes" ], "domainSpecificKnowledge" : [ "Accounting", "Finance", "Financial transactions", "Financial processes" ], "toolProficiency" : [ "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Scientific research; Publishing papers", "problemSolvingSkills" : "Scientific solutions", "qualificationsBasic" : "3+ years ML models business application, PhD or Master's degree, 6+ years applied research experience, Experience programming Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in changing the way accounting and finance works at Amazon? We are a science and engineering team leveraging ML models and GenAI/LLMs to solve real-world problems faced by accountants and financial analysts. We are part of the Amazon Financials Foundation Services (AFFS) organization. AFFS is responsible for processing and managing billions of financially relevant transactions sent globally from across Amazon each day, including orders, shipments, payments, and inventory movements. AFFS is at the center of Amazon's key initiatives and fuels the growth of Amazon's businesses worldwide by ensuring that businesses can easily integrate with our services and that accountants and financial analysts have the right tools to use our data. As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes: - Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights. - Building AI trust and safety in the financial domain. - Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving. - Developing training/evaluation datasets for model fine-tuning. - Collaborating with engineering to productionalize research. - Defining the science direction of the organization and influencing/interacting with senior leadership across Amazon. - Mentoring and growing scientists within the team. Specific examples of this work include developing anomaly detection models to identify deviations in payments, building multi-agent systems to perform financial research or onboard new businesses, and fine-tuning LLMs to provide recommendations on next steps. As an interdisciplinary team, we maintain a balance between scientific research and productionalization. This means, you'll get a unique opportunity to influence the global scientific community by publishing papers externally and internally while also seeing your work used across Amazon. You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary for this position ranges from $195,900/year up to $327,200/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.", "summaryDescription" : "Sr. Applied Scientist, Financial Insights and Actions at Amazon Development Centre Canada ULC. Skills: Machine learning, GenAI, LLMs, Financial analysis. Leverage GenAI/LLMs build agentic solutions. Build AI trust safety", "postedDate" : "2026-06-13T07:38:09.940", "createdAt" : "2026-06-13T07:38:09.940", "lastUpdated" : "2026-06-15T02:50:50.803", "ingestTimestamp" : "2026-06-13T07:38:09.940", "mongoId" : "68c2e425f8b1b0376634c611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073810/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Model development", "Model validation", "Model serving", "Anomaly detection", "Multi-agent systems", "LLM fine-tuning", "Mentoring", "Machine learning", "GenAI", "LLMs", "Financial analysis", "Financial Insights", "Financial Actions", "Accounting research", "Financial research", "Financial domain", "Accounting", "Finance", "Financial transactions", "Financial processes", "scikit-learn", "Spark MLLib", "Tensorflow", "Hadoop", "Spark" ], "skillCount" : 26, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 989.10706, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b6874d8ee00a09121dd", "title" : "Financial Data Analyst", "company" : "EquipmentShare", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Data Analyst in Kansas City, United States, adjusted for the technology industry and company size." }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-15T06:34:06.171", "fingerprint" : "58eb32d90a2321ade859ff8a62b39baf918c6c258ccf4978bccc7c39fb29d16f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8003301", "externalId" : "8003301", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.1001050,-94.5781416" } ], "locationText" : "Kansas City, Missouri, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "technicalSkills" : "SQL, Python, R, SAS, SPSS", "professionalSkills" : [ "Financial analysis", "Forecasting", "Trend analysis", "Reporting" ], "hardSkillsList" : [ "Financial statements", "Financial data" ], "softSkillsList" : [ "Grit", "Heart", "Humility", "Energy", "Effort", "Optimism" ], "hardSkills" : [ { "name" : "Financial statements", "level" : "intermediate" }, { "name" : "Financial data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grit" }, { "name" : "Heart" }, { "name" : "Humility" }, { "name" : "Energy" }, { "name" : "Effort" }, { "name" : "Optimism" } ], "majorSkills" : "Data analysis, Financial reporting, Financial insights", "majorSkillsList" : [ "Data analysis", "Financial reporting", "Financial insights" ], "coreResponsibilities" : "Create profit and loss statements, Analyze profit and loss statements, Partner with operations, Analyze monthly branch financials, Identify challenges, Identify opportunities, Develop new processes, Design new dashboards", "teamCollaboration" : "Analytics team", "domainKnowledge" : "Branch financials; Profitability analysis", "domainList" : [ "branch-financials", "profitability-analysis" ], "domainSpecificKnowledge" : [ "Branch financials", "Profitability analysis" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft PowerPoint" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development; Leadership training", "problemSolvingSkills" : "Extract key insights", "qualificationsBasic" : "Legal authorization to work, 4+ years data analysis, Advanced SQL experience, Bachelor's degree, Expert Microsoft Excel, Expert Microsoft PowerPoint", "qualificationsPreferred" : "Corporate finance exposure, Knowledge of Python, Knowledge of R, Knowledge of SAS, Knowledge of SPSS", "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Financial Data Analyst At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a Financial Data Analyst to support our Corporate HQ in Kansas City, MO, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. Your Opportunity to Grow With Us as a Financial Data Analyst The EquipmentShare team is a close-knit group of professionals who all share an interest in providing a service and product that improve our customer’s experience. Above all, we care about building something people want, and the only way to do that is by assembling a skilled, passionate and talented team. Our mission is to improve productivity and efficiency throughout the entire construction industry, and our people are how we make achieving that goal possible. We’re seeking a Financial Data Analyst who loves a challenge and wants the opportunity to grow with a fast-paced company. A highly motivated analyst with a passion for data and technical curiosity will thrive within our highly dynamic analytics team. Industry competitors often have layers of tenured management that create barriers to career advancement. The opportunity for career growth is unparalleled at EquipmentShare, where you’ll find no shortage of challenging yet fulfilling work, chances to build new skills and supportive teammates who will push you to achieve your best. Primary Responsibilities Play an integral role in creating and analyzing profit and loss statements for our branches. Partner with operations to facilitate deeper understanding of their earnings. Analyze monthly branch financials and identify potential challenges and opportunities for increasing profitability. Develop new processes with financial data including but not limited to forecasting, trend analysis, and other reporting. Design new dashboards to empower our branches with improved financial insights. Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Gym membership stipend + wellness programs (earn PTO and prizes!) Company events and food truck nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Requirements as a Financial Data Analyst Legal authorization to work in the United States without Visa sponsorship 4+ years of experience focused on data analysis Advanced SQL experience required (CTEs, joins, subqueries, etc.) Bachelor's degree in Accounting, Finance, Statistics, Economics, Computer Science, Mathematics or related field Corporate finance exposure preferred: forecasting, reporting, and analysis experience, a keen understanding of financial statements and financial data Expert-level Microsoft Excel and PowerPoint skills Ability to swiftly extract key insights from data Strong written and verbal communication skills Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/V.", "summaryDescription" : "Financial Data Analyst at EquipmentShare. Skills: Data analysis, Financial reporting, Financial insights. Create profit and loss statements. Analyze profit and loss statements", "postedDate" : "2026-06-13T20:58:57.648", "createdAt" : "2026-06-13T20:58:57.648", "lastUpdated" : "2026-06-15T06:34:06.171", "ingestTimestamp" : "2026-06-13T20:58:57.648", "mongoId" : "6a2c6b6874d8ee00a09121dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial statements", "Financial data", "Grit", "Heart", "Humility", "Energy", "Effort", "Optimism", "Data analysis", "Financial reporting", "Financial insights", "Financial analysis", "Forecasting", "Trend analysis", "Reporting", "Branch financials", "Profitability analysis", "Microsoft Excel", "Microsoft PowerPoint" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 894.2559, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef9627", "title" : "Associate Director, US Commercial Insights", "industry" : "Analyst", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the US market baseline for a Director-level position in the Pharma industry, adjusted for a remote work mode and the specified seniority and experience level." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T12:36:38.199", "fingerprint" : "e39a0d3b87e448b99ea46092bacd7366059cde0971be41107267d1cc0cbce7ad", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/230ccb81-fbca-4424-8e8b-f70b2c4d36f9/apply", "externalId" : "230ccb81-fbca-4424-8e8b-f70b2c4d36f9", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution" ], "hardSkillsList" : [ "Qualitative research", "Quantitative research", "Data synthesis" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Commercial insights strategy, Market research, Actionable recommendations", "majorSkillsList" : [ "Commercial insights strategy", "Market research", "Actionable recommendations" ], "coreResponsibilities" : "Lead development of US commercial insights strategy, Lead execution of US commercial insights strategy, Identify key business questions, Translate questions into research plans, Partner with cross-functional teams, Deliver actionable insights, Shape market development strategies, Shape go-to-market strategies, Design primary market research, Oversee primary market research, Design secondary market research, Oversee secondary market research, Ensure methodological rigor, Ensure alignment with business objectives, Synthesize data from multiple sources, Build unified view of market, Build unified view of customer, Act as strategic advisor, Influence key decisions, Ensure insights are clearly communicated, Translate insights into recommendations, Drive measurable business impact, Manage vendor relationships, Contribute to oversight of budgets, Contribute to oversight of contracts, Contribute to oversight of external partnerships, Foster innovation in insights generation, Explore new methodologies, Explore new tools, Explore new data sources", "teamCollaboration" : "Cross-functional teams; Global and US teams", "domainKnowledge" : "Rare disease; Rheumatology; Pharmaceutical data; Commercial research", "domainList" : [ "rare-disease", "rheumatology", "pharmaceutical-data", "commercial-research" ], "domainSpecificKnowledge" : [ "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "communicationSkills" : "Executive presentations", "continuousLearning" : "Professional development; Learning opportunities; Career growth", "innovationCreativity" : "Innovation in insights generation", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Ability to travel up to 20%", "outcomesObjectives" : "Drive measurable business impact", "qualificationsBasic" : "Bachelor's degree, 7–10 years of experience, Expertise in primary market research, Deep understanding of research methodologies, Proven ability to integrate data, Demonstrated experience influencing senior stakeholders, Analytical, critical thinking, and problem-solving skills, Excellent communication skills", "qualificationsPreferred" : "Advanced degree preferred, Experience within rare disease and/or rheumatology, Experience with product launches, Familiarity with pharmaceutical data sources, Familiarity with vendors, Familiarity with commercial research tools", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Lead the development and execution of the US commercial insights strategy and learning agenda, identifying key business questions and translating them into structured research plans. Partner with cross-functional teams (commercial, medical, analytics, and market access) to deliver actionable insights that shape market development and go-to-market strategies. Design and oversee primary and secondary market research initiatives, ensuring methodological rigor and alignment with business objectives. Synthesize data from multiple sources, including market research, competitive intelligence, analytics, and field insights, to build a unified view of the market and customer landscape. Act as a strategic advisor to senior leadership, influencing key decisions on positioning, strategy, and commercial execution. Ensure insights are clearly communicated and translated into actionable recommendations that drive measurable business impact. Manage vendor relationships and contribute to oversight of budgets, contracts, and external partnerships in collaboration with internal stakeholders. Foster innovation in insights generation by exploring new methodologies, tools, and data sources to enhance decision-making capabilities. Requirements: Bachelor’s degree required; advanced degree preferred. 7–10 years of experience in pharmaceutical, biotechnology, healthcare insights, or related commercial functions. Strong expertise in primary market research, ideally within rare disease and/or rheumatology. Deep understanding of both qualitative and quantitative research methodologies and their application in commercial strategy. Proven ability to integrate complex, disparate data sets into clear strategic narratives and actionable recommendations. Demonstrated experience influencing senior stakeholders in a matrixed, cross-functional environment. Strong analytical, critical thinking, and problem-solving skills with a business-oriented mindset. Excellent communication skills, with the ability to translate insights into compelling recommendations for executive audiences. Experience with product launches in rare disease or specialty care is a plus. Familiarity with pharmaceutical data sources, vendors, and commercial research tools. Ability to travel up to 20%. Strong collaboration skills, with the ability to operate effectively across global and US teams. Benefits: Competitive salary aligned with experience and market benchmarks. Eligibility for short-term and long-term incentive programs. Comprehensive health, dental, and vision insurance coverage. Retirement savings plan and financial wellbeing support. Flexible working arrangements with hybrid/remote options depending on role needs. Opportunities to work in a high-growth, science-driven organization focused on rare diseases. Strong emphasis on professional development, learning, and career growth. Inclusive and collaborative culture with global cross-functional exposure. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, US Commercial Insights. Skills: Commercial insights strategy, Market research, Actionable recommendations. Lead development of US commercial insights strategy. Lead execution of US commercial insights strategy", "postedDate" : "2026-06-15T10:26:15.737", "createdAt" : "2026-06-15T10:26:15.737", "lastUpdated" : "2026-06-16T12:36:38.199", "ingestTimestamp" : "2026-06-16T03:21:47.336", "mongoId" : "6a305117f292fd229cef9627", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Qualitative research", "Quantitative research", "Data synthesis", "Critical thinking", "Commercial insights strategy", "Market research", "Actionable recommendations", "Commercial strategy", "Market development", "Go-to-market strategies", "Competitive intelligence", "Commercial execution", "Rare disease", "Rheumatology", "Pharmaceutical data", "Commercial research" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 890.7033, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1737f358b93c861ed1d4a7", "title" : "Financial Insights & Analytics Manager", "company" : "Transact Campus", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager in the Technology industry in the United States, adjusted for seniority and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T03:29:37.280", "fingerprint" : "980602bffe59d2bb402f3a8f128bca6f86f23e9a72485e4031675fff1354f391", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://transact-campus.breezy.hr/p/9d673a1cd779-financial-insights-analytics-manager", "externalId" : "9d673a1cd779", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "rawDescription" : "Who we are: Illumia is an industry leader in bringing the best integrated technology solutions to education, healthcare, and business campuses worldwide. Illumia was built on the collective expertise of two legacy cultures, and brings together people, technology, and insight to pioneer the art of t", "summaryDescription" : "Financial Insights & Analytics Manager at Transact Campus", "createdAt" : "2026-06-14T00:17:38.057", "lastUpdated" : "2026-06-15T03:29:37.280", "ingestTimestamp" : "2026-06-14T00:17:38.057", "mongoId" : "6a1737f358b93c861ed1d4a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 846.46136, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 817.1349, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5fdb74d8ee00a08ef446", "title" : "Insights Manager II", "company" : "Instacart", "industry" : "Grocery", "salary" : { "min" : 133000.0, "max" : 140500.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T01:50:26.740", "fingerprint" : "90b8e3023f830d1358cba8616ae5cdfd950e6024c51e1990e6f4c7ce8984acfc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8001891", "externalId" : "8001891", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Excel", "professionalSkills" : [ "Business strategy", "Data storytelling", "Commercial impact", "Category intelligence" ], "hardSkillsList" : [ "Analytical reasoning", "Data visualization" ], "hardSkills" : [ { "name" : "Analytical reasoning", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Retail partnerships", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Retail partnerships" ], "coreResponsibilities" : "Translate business questions into answers, Develop actionable strategies, Build trusted analytical foundation, Proactively seek insights, Find root causes, Conduct deep-dive analyses, Influence partner business operations, Craft business cases, Prepare quarterly business reviews, Build internal tools, Improve internal frameworks, Develop internal narratives, Serve as subject matter expert", "teamCollaboration" : "Business Development; Retail partners; Cross-functional teams", "domainKnowledge" : "Grocery industry; CPG categories; Online marketplaces", "domainList" : [ "grocery-industry", "cpg-categories", "online-marketplaces" ], "domainSpecificKnowledge" : [ "Grocery industry", "CPG categories", "Online marketplaces" ], "toolProficiency" : [ "SQL", "Excel" ], "communicationSkills" : "Storytelling; Boardroom presentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Retail partners make faster decisions; Retail partners make better decisions; Insights are proactively sought; Deep-dive analyses influence operations; Business cases land with impact; QBRs land with impact; Sell-in conversations land with impact; Stakeholders move from data to direction; Expertise shapes strategy", "qualificationsBasic" : "3+ years quantitative business strategy, Proficiency with SQL, Proficiency with Excel, Proficiency with data visualization tools, Analytical reasoning, Polished communication skills, Manage senior stakeholder relationships", "qualificationsPreferred" : "Experience in retail, Experience in e-commerce, Experience in grocery, Familiarity with online marketplaces, Familiarity with CPG categories, Experience building business cases, Presenting to external partners", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. WHY THIS ROLE IS ON THE MENU Instacart's Retail Insights team sits at the intersection of the industry's richest grocery data, our most strategic retail partnerships, and the CPG category intelligence that powers growth across the platform. As our retailer relationships scale and the complexity of our business deepens, we need someone who can turn that data into decisions — not just reports. We're hiring an Insights Manager II to serve as the analytical backbone for a portfolio of key grocery retail partners, translating ambiguous business questions into clear answers and actionable strategies. This role sits at the intersection of data, storytelling, and commercial impact, and the person who fills it will have a direct line of sight to how Instacart grows its most important partnerships. WHAT YOU'LL COOK UP IN YOUR FIRST YEAR Retail partners make faster, better decisions because of your work. You've built a trusted analytical foundation — your insights are proactively sought out by Business Development and retail partners alike, not just delivered on request. Root causes get found, not just flagged. When performance dips or opportunities surface, you've established a reputation for going deeper than the dashboard — your deep-dive analyses have directly influenced how partners run their business on Instacart. QBRs and sell-in conversations land with impact. You've partnered with Business Development to craft business cases and quarterly business reviews that are analytically rigorous, narratively compelling, and tied to outcomes retailers care about. Cross-functional teams are better equipped to answer \"why\" and \"what's next.\" You've built or improved internal tools, frameworks, and narratives that help stakeholders move from raw data to clear direction — and the \"so what\" is never left unanswered. You're the go-to expert on your category and partner landscape. Internal teams rely on you as the subject matter expert on macro business, operational, and customer trends across your set of retailers — and that expertise shapes strategy, not just reporting. THE SECRET INGREDIENTS WE'RE LOOKING FOR You think in outcomes, not outputs. You're as comfortable in a SQL query as you are in a boardroom presentation, and you know that neither matters unless the insight lands with the right person at the right moment. Must-have pantry staples (Minimum Qualifications) 3+ years of experience in a quantitative business strategy role — consulting, banking, analytics, or similar. Proficiency with SQL (complex, efficient queries), Excel, and data visualization tools. Strong analytical reasoning: ability to work through ambiguous problems step by step and surface the \"so what.\" Polished communication skills and proven ability to manage senior stakeholder relationships, both internal and external. A self-starter orientation — you don't wait to be handed a problem; you identify it, frame it, and drive toward an answer. Optional garnishes (Preferred Qualifications) Experience in retail, e-commerce, or grocery — familiarity with the dynamics of online marketplaces or CPG categories is a meaningful accelerant. Experience building business cases or presenting to external partners or clients. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $133,000—$140,500 CAD", "summaryDescription" : "Insights Manager II at Instacart. Skills: Data analysis, Business intelligence, Retail partnerships. Translate business questions into answers. Develop actionable strategies", "postedDate" : "2026-06-12T22:25:52.654", "createdAt" : "2026-06-12T22:25:52.654", "lastUpdated" : "2026-06-15T01:50:26.740", "ingestTimestamp" : "2026-06-12T22:25:52.654", "mongoId" : "6a2c5fdb74d8ee00a08ef446", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Analytical reasoning", "Data visualization", "Data analysis", "Business intelligence", "Retail partnerships", "Business strategy", "Data storytelling", "Commercial impact", "Category intelligence", "Grocery industry", "CPG categories", "Online marketplaces", "SQL", "Excel" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "commercial-excellence", "dataQualityScore" : 0.8888889, "_score" : 805.41034, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "id" : "6a2c5fdb74d8ee00a08ef447", "title" : "Insights Manager II", "company" : "Instacart", "industry" : "Grocery", "salary" : { "min" : 128000.0, "max" : 161500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T00:29:08.213", "fingerprint" : "f6369da8098f8593ab7ab140ee7a0c687b8408da90fcad17fc681573f96717e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://instacart.careers/job/?gh_jid=8001889", "externalId" : "8001889", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceLevel" : "Manager", "technicalSkills" : "SQL", "professionalSkills" : [ "Business strategy", "Data storytelling", "Commercial impact" ], "hardSkillsList" : [ "Analytical reasoning", "Deep-dive analyses" ], "hardSkills" : [ { "name" : "Analytical reasoning", "level" : "intermediate" }, { "name" : "Deep-dive analyses", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Retail insights", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Retail insights" ], "coreResponsibilities" : "Translate ambiguous business questions, Develop actionable strategies, Build trusted analytical foundation, Find root causes, Conduct deep-dive analyses, Influence partner business operations, Craft business cases, Prepare quarterly business reviews, Build internal tools, Improve internal frameworks, Develop internal narratives, Serve as subject matter expert", "teamCollaboration" : "Cross-functional teams; Business Development; Retail partners", "domainKnowledge" : "Grocery industry; Retail partnerships; CPG category intelligence; Online marketplaces; CPG categories; Macro business trends; Operational trends; Customer trends", "domainList" : [ "grocery-industry", "retail-partnerships", "cpg-category-intelligence", "online-marketplaces", "cpg-categories", "macro-business-trends", "operational-trends", "customer-trends" ], "domainSpecificKnowledge" : [ "Grocery industry", "Retail partnerships", "CPG category intelligence", "Online marketplaces", "CPG categories", "Macro business trends", "Operational trends", "Customer trends" ], "toolProficiency" : [ "Excel", "Data visualization tools" ], "communicationSkills" : "Storytelling; Boardroom presentations", "problemSolvingSkills" : "Ambiguous problems", "outcomesObjectives" : "Retail partners make faster decisions; Retail partners make better decisions; Insights proactively sought; Influence how partners run business", "qualificationsBasic" : "3+ years quantitative business strategy, Proficiency with SQL, Proficiency with Excel, Proficiency with data visualization tools, Analytical reasoning, Polished communication skills, Manage senior stakeholder relationships", "qualificationsPreferred" : "Experience in retail, Experience in e-commerce, Experience in grocery, Familiarity with online marketplaces, Familiarity with CPG categories, Experience building business cases, Presenting to external partners, Presenting to clients", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. WHY THIS ROLE IS ON THE MENU Instacart's Retail Insights team sits at the intersection of the industry's richest grocery data, our most strategic retail partnerships, and the CPG category intelligence that powers growth across the platform. As our retailer relationships scale and the complexity of our business deepens, we need someone who can turn that data into decisions — not just reports. We're hiring an Insights Manager II to serve as the analytical backbone for a portfolio of key grocery retail partners, translating ambiguous business questions into clear answers and actionable strategies. This role sits at the intersection of data, storytelling, and commercial impact, and the person who fills it will have a direct line of sight to how Instacart grows its most important partnerships. WHAT YOU'LL COOK UP IN YOUR FIRST YEAR Retail partners make faster, better decisions because of your work. You've built a trusted analytical foundation — your insights are proactively sought out by Business Development and retail partners alike, not just delivered on request. Root causes get found, not just flagged. When performance dips or opportunities surface, you've established a reputation for going deeper than the dashboard — your deep-dive analyses have directly influenced how partners run their business on Instacart. QBRs and sell-in conversations land with impact. You've partnered with Business Development to craft business cases and quarterly business reviews that are analytically rigorous, narratively compelling, and tied to outcomes retailers care about. Cross-functional teams are better equipped to answer \"why\" and \"what's next.\" You've built or improved internal tools, frameworks, and narratives that help stakeholders move from raw data to clear direction — and the \"so what\" is never left unanswered. You're the go-to expert on your category and partner landscape. Internal teams rely on you as the subject matter expert on macro business, operational, and customer trends across your set of retailers — and that expertise shapes strategy, not just reporting. THE SECRET INGREDIENTS WE'RE LOOKING FOR You think in outcomes, not outputs. You're as comfortable in a SQL query as you are in a boardroom presentation, and you know that neither matters unless the insight lands with the right person at the right moment. Must-have pantry staples (Minimum Qualifications) 3+ years of experience in a quantitative business strategy role — consulting, banking, analytics, or similar. Proficiency with SQL (complex, efficient queries), Excel, and data visualization tools. Strong analytical reasoning: ability to work through ambiguous problems step by step and surface the \"so what.\" Polished communication skills and proven ability to manage senior stakeholder relationships, both internal and external. A self-starter orientation — you don't wait to be handed a problem; you identify it, frame it, and drive toward an answer. Optional garnishes (Preferred Qualifications) Experience in retail, e-commerce, or grocery — familiarity with the dynamics of online marketplaces or CPG categories is a meaningful accelerant. Experience building business cases or presenting to external partners or clients. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $153,000—$161,500 USD WA $147,000—$155,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $140,000—$148,000 USD All other states $128,000—$135,000 USD", "summaryDescription" : "Insights Manager II at Instacart. Skills: Data analysis, Business intelligence, Retail insights. Translate ambiguous business questions. Develop actionable strategies", "postedDate" : "2026-06-12T22:12:01.604", "createdAt" : "2026-06-12T22:12:01.604", "lastUpdated" : "2026-06-15T00:29:08.213", "ingestTimestamp" : "2026-06-12T22:12:01.604", "mongoId" : "6a2c5fdb74d8ee00a08ef447", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 128000, "salaryAnnualMax" : 161500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Analytical reasoning", "Deep-dive analyses", "Data analysis", "Business intelligence", "Retail insights", "Business strategy", "Data storytelling", "Commercial impact", "Grocery industry", "Retail partnerships", "CPG category intelligence", "Online marketplaces", "CPG categories", "Macro business trends", "Operational trends", "Customer trends", "Excel", "Data visualization tools" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "commercial-excellence", "dataQualityScore" : 0.8888889, "_score" : 789.50275, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Grocery" }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 778.49036, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. Interpret results", "postedDate" : "2026-06-16T01:22:13.039", "createdAt" : "2026-06-16T01:22:13.039", "lastUpdated" : "2026-06-16T08:42:22.280", "ingestTimestamp" : "2026-06-16T01:22:13.039", "mongoId" : "6a308724f292fd229c0863dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data validation", "Trend identification", "Result interpretation", "Client Insights", "Data Analysis", "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics", "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech", "Tableau" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 753.9922, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69164d9e70f0b99d586f2f43", "title" : "Coordinator, Consumer Insights", "company" : "Metro-Goldwyn-Mayer Studios Inc.", "industry" : "Marketing PR, Marketing, entertainment", "salary" : { "min" : 53200.0, "max" : 113700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-14T23:59:15.245", "fingerprint" : "4b623eea295c3164a8fb4d0b6cca04bd302e46ba1a6255b88d7219294629e4e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3123320/apply", "externalId" : "ad9159cc-00d7-4e1c-af14-5b0d6a4e0f24", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Salesforce, Tableau, Excel, SAP", "professionalSkills" : [ "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations" ], "hardSkillsList" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Email engagement programs", "level" : "intermediate" }, { "name" : "Lifecycle programs", "level" : "intermediate" }, { "name" : "Nurture programs", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Data management, Financial processes", "majorSkillsList" : [ "Consumer insights", "Data management", "Financial processes" ], "coreResponsibilities" : "Architect databases, Maintain databases, Manage calendars, Schedule readouts, Oversee financial management, Track budgets, Manage purchase orders, Administer vendors, Navigate contract management, Coordinate contracts, Troubleshoot research challenges, Manage concurrent projects, Provide recommendations", "teamCollaboration" : "Cross-functional partners; Legal; Procurement; Vendors", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Theatrical performance; Entertainment landscape; Film research; Streaming film", "domainList" : [ "theatrical-performance", "entertainment-landscape", "film-research", "streaming-film" ], "domainSpecificKnowledge" : [ "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film" ], "toolProficiency" : [ "Salesforce", "Tableau", "Excel", "SAP" ], "problemSolvingSkills" : "Troubleshoot research challenges", "qualificationsBasic" : "2+ years marketing experience, 1+ years Salesforce experience, 1+ years Tableau experience, 1+ years Vidyard experience, 1+ years Excel experience, 1+ years email engagement programs, 1+ years lifecycle/nurture programs, Excel data manipulation, Excel macros, Excel charts, Excel pivot tables, Tableau data manipulation, Tableau macros, Tableau charts, Tableau pivot tables", "qualificationsPreferred" : "Experience with SAP, Experience with contract management, Experience with major brand, Experience with entertainment company, Experience in project management, Experience in production management, Experience in e-commerce, Experience in start ups, Experience in advertising, Experience in commercial", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon/MGM Studios is seeking a highly organized and detail-oriented Research Coordinator to join our dynamic theatrical and streaming film research team. This pivotal role serves as the cornerstone of our team's organizational efficiency, managing critical data, schedules, and financial processes that drive our strategic decision-making in the ever-evolving entertainment landscape. As our Research Coordinator, you will: Architect and maintain comprehensive theatrical performance databases and research archives, ensuring quick data retrieval and preservation of institutional knowledge. Manage complex calendars and schedule crucial research readouts across multiple time zones, balancing the needs of various stakeholders. Oversee financial management for research projects, including budget tracking, purchase order management, and vendor administration. Navigate contract management processes, coordinating between legal, procurement, and vendors to ensure compliance and maintain project momentum. Troubleshoot research challenges, manage multiple concurrent projects, and provide research-backed recommendations to cross-functional partners. The ideal candidate will possess exceptional organizational skills, attention to detail, and the ability to prioritize effectively in a fast-paced environment. You should be comfortable working with large datasets, financial spreadsheets, and project management tools. Experience with SAP and contract management is a plus. This role offers a unique opportunity to be at the heart of Amazon/MGM's expanding theatrical slate, providing crucial support that shapes our global marketing and distribution strategies. If you're passionate about the entertainment industry and have a talent for turning data into actionable insights, we want to hear from you! Join us in writing the next chapter of entertainment history. Apply now to be part of our growing research team at Amazon/MGM Studios! Basic Qualifications: - 2+ years of professional non-internship marketing experience - 1+ years of Salesforce, Tableau, Vidyard, and Excel experience - 1+ years of designing, building, and launching successful email engagement programs, specifically lifecycle/nurture programs experience - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Preferred Qualifications: - Experience working with a major brand or entertainment company in project/production management - Experience in e-commerce, start ups, advertising, commercial - Experience using data visualization tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $53,200/year in our lowest geographic market up to $113,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Coordinator, Consumer Insights at Metro-Goldwyn-Mayer Studios Inc.. Skills: Consumer insights, Data management, Financial processes. Architect databases. Maintain databases", "postedDate" : "2026-06-12T23:27:00.674", "createdAt" : "2026-06-12T23:27:00.674", "lastUpdated" : "2026-06-14T23:59:15.245", "ingestTimestamp" : "2026-06-12T23:27:00.674", "mongoId" : "69164d9e70f0b99d586f2f43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3123320/apply", "salaryAnnualMin" : 53200, "salaryAnnualMax" : 113700, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data manipulation", "Email engagement programs", "Lifecycle programs", "Nurture programs", "Consumer insights", "Data management", "Financial processes", "Data retrieval", "Financial management", "Budget tracking", "Purchase order management", "Vendor administration", "Contract management", "Research-backed recommendations", "Project management", "Theatrical performance", "Entertainment landscape", "Film research", "Streaming film", "Salesforce", "Tableau", "Excel", "SAP" ], "skillCount" : 23, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 725.0123, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Entertainment" }, { "id" : "6a2caaaf74d8ee00a09ca053", "title" : "COMMERCIAL INSIGHTS ANALYST", "company" : "Ampol", "industry" : "Oil And Energy", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Commercial Insights Analyst in Alexandria, Australia, adjusted for the Energy industry and company size." }, "location" : "Alexandria, New South Wales, Australia", "locations" : [ "Alexandria", "New South Wales", "Australia" ], "timestamp" : "2026-06-15T12:45:59.789", "fingerprint" : "72ff3046c64e4d49ae8c712696711c96a937833e12ac940be69cd1a90ab7bedd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Ampol/6000000001150760-commercial-insights-analyst", "externalId" : "6000000001150760", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Alexandria", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9091568,151.1921281" } ], "locationText" : "Alexandria, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, SQL, DAX, Power BI", "professionalSkills" : [ "Commercial analysis", "Financial modeling", "Data pipelines", "Reporting", "Stakeholder engagement" ], "hardSkillsList" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Profitability drivers", "level" : "intermediate" }, { "name" : "Value tree analysis", "level" : "intermediate" }, { "name" : "EBIT data validation", "level" : "intermediate" } ], "majorSkills" : "Commercial insights, Financial modeling, Data analysis, Reporting", "majorSkillsList" : [ "Commercial insights", "Financial modeling", "Data analysis", "Reporting" ], "coreResponsibilities" : "Analyze financial and commercial datasets, Deliver actionable insights and recommendations, Validate and investigate enterprise integrated value and EBIT, Design and develop P&L and EBIT faceplates, Build value-tree profitability drivers, Develop, enhance and maintain financial models, Develop, enhance and maintain data cubes, Develop, enhance and maintain Power BI reports, Support monthly reporting cycles, Update dashboards for F&I Commercial teams, Present insights to senior stakeholders, Support strategic decision-making, Deliver ad-hoc analysis and reports, Document processes and reporting standards", "teamCollaboration" : "Work cross-functionally; Present to senior stakeholders", "domainKnowledge" : "Energy sector; Fuel supply; Energy solutions; Convenience retail; Infrastructure; Trading; Shipping; Financial reporting", "domainList" : [ "energy-sector", "fuel-supply", "energy-solutions", "convenience-retail", "infrastructure", "trading", "shipping", "financial-reporting" ], "domainSpecificKnowledge" : [ "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting" ], "toolProficiency" : [ "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "communicationSkills" : "Present insights; Compelling narratives", "documentationSkills" : "Document processes; Reporting standards", "continuousLearning" : "LinkedIn Learning; Tailored training solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Synthesise data sources", "outcomesObjectives" : "Drive decisions across Supply, Trading and Commercial; Influence performance and growth", "qualificationsBasic" : "Minimum 5 years’ experience, Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience, Advanced skills in Excel, SQL, DAX, and Power BI, Experience with SAP, Python experience essential", "qualificationsPreferred" : "Financial reporting environments experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Ampol, we believe in the Power of Us - the extraordinary power of people to connect, act, and make a difference. As a leading energy company operating across Australia, New Zealand, Singapore and from the United States, our work spans fuel supply, energy solutions, convenience retail, infrastructure, trading and shipping. Every role at Ampol plays a part in something bigger - powering progress for our customers, communities, and people. Your career here is yours to shape. We back our people with real opportunities, the tools to grow, and a culture that rewards ownership and initiative. Whether you’re deepening your expertise or taking on something new, we’ll support you to power a career that works for you. We’re building a workplace where everyone feels welcome, respected, and valued - because when people are free to be themselves, powerful things happen. About the role The Commercial Insights Analyst sits at the intersection of data, operations and strategy—turning complex financial and commercial inputs into clear, actionable insights that drive decisions across Supply, Trading and Commercial. This is a hands-on role for someone who can dive into the detail while keeping a clear view of the bigger picture: building and refining integrated models, developing robust data pipelines (leveraging Python for automation, analysis and scalability), and delivering sharp visualisations and reporting that cut through noise. You’ll work cross-functionally to answer critical business questions, translating data into clear, compelling narratives that influence performance and growth—combining strong technical execution with the commercial judgement to focus on what matters. This is a permanent, full-time role based in our Alexandria headquarters with a hybrid working arrangement. Key responsibilities * Analyse financial and commercial datasets to deliver actionable insights and recommendations * Validate and investigate enterprise integrated value and EBIT data for accuracy and integrity * Design and develop P&L and EBIT faceplates aligned to organisational structures * Build value-tree profitability drivers across multiple business lenses * Develop, enhance and maintain financial models, data cubes and Power BI reports * Support monthly reporting cycles and dashboard updates for F&I Commercial teams * Present insights to senior stakeholders to support strategic decision-making * Deliver ad-hoc analysis and reports to tight deadlines * Document processes and reporting standards in Confluence Qualifications & Experience * Minimum 5 years’ experience in commercial analysis or finance-related roles * Tertiary qualifications in Finance, Accounting, Marketing, Engineering or equivalent experience * Advanced skills in Excel, SQL, DAX, and Power BI, with proven hands-on experience * Strong experience with SAP and financial reporting environments * Ability to synthesise multiple data sources into clear business insights * Excellent analytical, problem-solving and stakeholder engagement skills * Experience working cross-functionally in fast-paced, complex environments * Python experience essential Benefits * Our total remuneration is competitive. This is across base salary, car allowance, a company performance incentive, employee share offers and a 25% discount on Fuel for two privately used cars! * We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. * Remote Working: Support for up to 3 months remote international working (conditional to 5 days paid leave for every 30 days of remote work). * We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. * Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. * Baby Care Package - financial and flexible support for parents transitioning back to work. * Need some wheels? Novated Lease options are available. * Invest in your future with the Employee Share Scheme * Leave Options – Flexible leave options include generous annual leave, optional additional purchased leave and wellbeing days throughout the year. * Care for your Community. Spend one paid day a year volunteering with one of our Ampol Foundation partners. Want to take your career to the next level? Apply today. ## Additional Information By clicking apply, you confirm you have read and agree to our [Ampol Recruitment Privacy Collection Statement](https://c.smartrecruiters.com/sr-company-attachments-prod-aws-dc9/68397163321cc03b6a5d240c/e4090605-2b96-49c6-9240-9213d28366f2?r=s3-ap-southeast-2). We’re an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.", "summaryDescription" : "COMMERCIAL INSIGHTS ANALYST at Ampol. Skills: Commercial insights, Financial modeling, Data analysis, Reporting. Analyze financial and commercial datasets. Deliver actionable insights and recommendations", "postedDate" : "2026-06-12T05:02:17.000", "createdAt" : "2026-06-14T07:21:47.370", "lastUpdated" : "2026-06-15T12:45:59.789", "ingestTimestamp" : "2026-06-14T07:21:47.370", "mongoId" : "6a2caaaf74d8ee00a09ca053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Financial modeling", "Data analysis", "Profitability drivers", "Value tree analysis", "EBIT data validation", "Commercial insights", "Reporting", "Commercial analysis", "Data pipelines", "Stakeholder engagement", "Energy sector", "Fuel supply", "Energy solutions", "Convenience retail", "Infrastructure", "Trading", "Shipping", "Financial reporting", "Excel", "SQL", "DAX", "Power BI", "SAP", "Confluence" ], "skillCount" : 24, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 723.41254, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 722.46765, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30519bf292fd229cf0320a", "title" : "Financial Data Application Specialist", "company" : "AlphaSense", "industry" : "SaaS", "salary" : { "min" : 110000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Financial Data Application Specialist in the US SaaS industry, adjusted for company size and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-16T08:22:27.217", "fingerprint" : "72716064eef54cded556ee70f4b8b3fb77c76aa7573f8d9d04aecaecd04b37e5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphasense/jobs/8584930002", "externalId" : "8584930002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI", "professionalSkills" : [ "Financial data analysis", "Quantitative analysis", "Valuation decisions", "Sales enablement", "Product marketing", "Support articles" ], "hardSkillsList" : [ "Financial modeling" ], "softSkillsList" : [ "Entrepreneurial minded", "Teaching", "Enablement" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial minded" }, { "name" : "Teaching" }, { "name" : "Enablement" } ], "majorSkills" : "Financial data, Sales, Customer success, Technical implementation", "majorSkillsList" : [ "Financial data", "Sales", "Customer success", "Technical implementation" ], "coreResponsibilities" : "Assist sales in demos, Assist sales in strategic trials, Run trial training calls, Overcome common objections, Communicate value proposition, Speak with users, Visit users, Provide advanced training, Provide customizations, Provide product consultations, Build custom templates, Build bespoke modeling tools, Package use cases for sales, Package use cases for account management, Create how-to videos, Create enablement materials, Create support articles, Field feedback, Identify product opportunities, Relay product information, Act as escalation point, Resolve challenges, Integrate modeling solutions", "teamCollaboration" : "Partner with sales; Partner with product; Partner with marketing; Partner with leadership; Work with account management", "domainKnowledge" : "Financial data; Investment decisions; Valuation decisions; Capital markets", "domainList" : [ "financial-data", "investment-decisions", "valuation-decisions", "capital-markets" ], "domainSpecificKnowledge" : [ "Financial data", "Investment decisions", "Valuation decisions", "Capital markets" ], "toolProficiency" : [ "Excel Add-ins" ], "communicationSkills" : "Distill complex issues; Explain complex issues", "qualificationsBasic" : "Client-facing professional, Develop rapport with people, Maintain relationships, Speak the language of finance, Analyze company financial data, Benchmark financial data, Understand quantitative tools, Become SME for financial data", "qualificationsPreferred" : "New York City strongly preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! Location: New York City strongly preferred, Remote considered Reports To: Manager, Financial Data Application Specialists About the Role The Financial Data Application Specialist role at AlphaSense lives at the intersection of sales, customer success, and technical implementation for AlphaSense’s financial data products. This is a new team at AlphaSense supporting a strategic area of investment for the business, so we are looking for entrepreneurial minded people that can use learnings from client discussions to help optimize both our go-to-market and product strategies. Specialists add value across our revenue organization by building relationships with prospects and clients, providing deep technical knowledge to demonstrate the value of AlphaSense’s financial data while helping to drive adoption. Due to the extensive exposure that Specialists have with clients, they’re also in a prime location to partner with our sales, product, marketing and leadership teams in determining future product developments that will resonate with the market. What You’ll Do Growth Initiatives: Assist sales in demos and strategic trials of AlphaSense’s financial data solutions. The team also runs trial training calls, making the ability to overcome common objections and communicate our value proposition essential to success. Customer Health: The team works hand in hand with account management, speaking with and visiting users to provide advanced training, customizations, and product consultations. Specialists often drive adoption by building custom templates or other bespoke modeling tools for our customers. Subject Matter Expert: Specialists have expertise in quantitative analysis for investment and valuation decisions. They know the use cases that our customers are likely to care about, and package it for utilization by sales and account management. This can come in the form of how-to videos, enablement, product marketing, support articles and others that can be used for meetings or email distribution. Product Direction: Because of our Specialists’ deep understanding of both our financial data products and customers, they are in a position to field feedback and identify product opportunities, and relay that information across the organization (account management, account executives, product, management). Consultative Support: Act as an escalation point for our product and support teams on difficult scenarios our customers may face with our solutions, particularly when leveraging Excel Add-ins. Manage and resolve challenges related to the full integration of our modeling solutions into our clients’ workflows. Who You Are A client-facing professional with a superior ability to develop rapport with new people, and to maintain relationships, combined with a positive and proactive personality. Someone who has worked with external stakeholders — whether senior investment professionals, corporate development and M&A teams, investor relations, corporate strategy, or competitive intelligence functions — and wants to spend their time client-facing and actively engaged with them. Someone who can speak the language of finance and knows how to analyze a company’s financial data, benchmark it against its peers, and understand how professionals in these roles use quantitative tools to make decisions. Committed to becoming a SME for financial data across all industries, personas, and verticals. A passion for technology, AI, and the capital markets. Excellent in 360 degree communication and collaboration. Able to distill and explain complex issues in simple terms — this is a teaching and enablement role, helping clients learn to do things with our product rather than doing the work for them. Genuine interest to learn how the different tools we’ve built contribute to our clients’ processes, to help identify when a particular client should be using them, and to identify solutions that solve for a client’s needs. Intrinsically motivated and a self-starter, with the ability to stay energized in repetitive client conversations and contribute to a dynamic and entrepreneurial team culture. Strong time management, organization, and task prioritization skills, with comfort juggling many moving pieces across a fast-moving, high-growth team. An independent problem-solver, making multiple efforts to solve problems on your own before escalating. Comfortable working in ambiguity, and flexible enough to adapt as needed to drive customer happiness, ideally with experience operating in a smaller, high-growth team environment. Familiar with the institutional investor landscape, financial markets, and investment research — or with the corporate finance landscape (corporate development, M&A, FP&A, IR, strategy) and the quantitative tools those teams rely on. Minimum Qualifications A foundation in finance or corporate finance — for example, progress toward a CFA or a bachelor’s degree in Economics/Finance/Accounting, OR equivalent hands-on exposure to financial analysis through a corporate development, M&A, investor relations, corporate strategy, or competitive intelligence function. 2-4 years of relevant experience in equity research, investment management, private equity, accounting, consulting, corporate development/M&A, investor relations, or a comparable client- or stakeholder-facing role, with a strong desire to move toward client-facing positions. Demonstrated ability to work with financial data in some form — for example, building or interpreting a comparable company's analysis, benchmarking a company against its peers, or understanding how you would approach that work. You do not need to have built three-statement models yourself, but you must be able to speak the language of finance and do benchmarking. Strong Excel abilities (nice to have: familiarity with AI powered spreadsheet tools and/or experience leveraging generative AI tools within productivity software). Excellent communication skills, as you must manage relationships with high-profile fund managers, corporate finance leaders, and junior analysts alike. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $100,000—$125,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.", "summaryDescription" : "Financial Data Application Specialist at AlphaSense. Skills: Financial data, Sales, Customer success, Technical implementation. Assist sales in demos. Assist sales in strategic trials", "postedDate" : "2026-06-15T23:21:59.739", "createdAt" : "2026-06-15T23:21:59.739", "lastUpdated" : "2026-06-16T08:22:27.217", "ingestTimestamp" : "2026-06-15T23:21:59.739", "mongoId" : "6a30519bf292fd229cf0320a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Entrepreneurial minded", "Teaching", "Enablement", "Financial data", "Sales", "Customer success", "Technical implementation", "Financial data analysis", "Quantitative analysis", "Valuation decisions", "Sales enablement", "Product marketing", "Support articles", "Investment decisions", "Capital markets", "Excel Add-ins" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 720.20337, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ffff292fd229cf840cc", "title" : "Retail Insights Manager", "company" : "SPINS", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Retail Insights Manager in Bulgaria, adjusted for a full-time remote role." }, "location" : "Remote", "locations" : [ "Remote", "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T08:10:16.333", "fingerprint" : "a5016047951be6731f0733443befa5cc1dfc20e996afd4165599fb55aaa4ccdf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.spins.com/work-at-spins/?gh_jid=7655949", "externalId" : "7655949", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "technicalSkills" : "MS Office, Excel, PowerPoint, Outlook", "professionalSkills" : [ "Analytics", "Storytelling", "Reporting efficiency" ], "hardSkillsList" : [ "Data analysis", "Strategic analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategic analysis", "level" : "intermediate" } ], "majorSkills" : "Retail analytics, Client management, Data insights", "majorSkillsList" : [ "Retail analytics", "Client management", "Data insights" ], "coreResponsibilities" : "Lead delivery of strategic analyses, Deliver insights and recommendations, Apply SPINS proprietary assets, Work directly with executives, Understand client opportunities, Develop growth solutions, Develop growth strategies, Partner with client, Assess reporting and tools, Improve reporting and tools, Deliver client training sessions, Ensure client captures value, Provide business growth opportunities, Bring forward thought leadership, Add value to clients, Add insights to clients", "teamCollaboration" : "Client team members; Client stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "CPG/Retail analytics; Natural products industry", "domainList" : [ "cpg-retail-analytics", "natural-products-industry" ], "domainSpecificKnowledge" : [ "CPG/Retail analytics", "Natural products industry" ], "toolProficiency" : [ "Circana", "NielsenIQ", "SPINS", "Numerator" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Strategic analyses", "outcomesObjectives" : "Capture biggest growth opportunities; Drive client's business forward; Ensure client captures value", "qualificationsBasic" : "2-4 years CPG/Retail analytics experience, Prior experience managing client stakeholders, Prior experience in translating data, Excellent presentation skills, Prior experience with syndicated data, Intermediate MS Office skills", "qualificationsPreferred" : "Experience with Distributor or Retailer, Comfortable with complexity, Interpersonal skills, Organizational skills, Project management skills, Ability to understand customer mindset, Skilled at leveraging business relationships, Experience with natural products industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health however, qualified applicants from other locations will be considered Retail Insights Manager Summary The Retail Team is focused on recruiting, retaining, and expanding our partnerships with retailers and distributors to ensure their sustained growth. Retail is the cornerstone of SPINS as our Retail Partners are the primary source of data fueling our front-end applications and enabling our proprietary Product Intelligence. SPINS is focused on helping our clients achieve sustained, profitable growth. The Retail Support Team uses SPINS industry-leading Natural, Organic, and Specialty Products Retail Market Information in combination with analytics and strategic analyses to generate powerful insights. This Retail Insights Manager will be working directly with clients to help them capture their biggest growth opportunities. Job Duties & Responsibilities Lead the delivery of strategic analyses, insights, and recommendations based on applying SPINS proprietary assets, in combination with the client's team members and client's information. Work directly with executives at our client company to understand their opportunities and develop growth solutions and strategies to capture them. Partner with the client to understand, continually assess, and improve reporting and tools to continue to drive forward the client's business. Deliver client training sessions to ensure client captures value of the SPINS assets and provide business growth opportunities. Brings forward relevant SPINS and 3rd party thought leadership to add additional value and insights to assigned clients. Requirements: Education & Experience 2-4 years CPG/Retail analytics experience in with a Distributor, Retailer, CPG company, or Market Research firm Prior experience managing client stakeholders and multiple projects concurrently Prior experience in translating data and using analyses in storytelling and reporting efficiency Excellent presentation skills and is very comfortable presenting to clients Initiative, creativity and a passion to deliver results that make a difference to our client Self-starter, with strong intellectual curiosity Prior experience with syndicated data such as Circana (IRi), NielsenIQ, SPINS, Numerator, etc. Intermediate knowledge/skills in MS Office (Excel, PowerPoint, Outlook) The following is strongly preferred: Experience with Distributor or Retailer Comfortable with complexity Interpersonal, organizational and project management skills Ability to understand the customer mindset and offer solutions Skilled at leveraging business relationships at all levels within the organization Experience with the natural products industry Salary Range: $80,000 to $90,000 Note: Applicants must be authorized to work for any US employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-SB1 #LI-Hybrid What SPINS Offers We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down! While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works! Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched. Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture. The SPINS Way Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback. Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action. Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths. Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution. For details about the information SPINS’s collects about our applicants and how we use it, please see the SPINS Privacy Policy here.", "summaryDescription" : "Retail Insights Manager at SPINS. Skills: Retail analytics, Client management, Data insights. Lead delivery of strategic analyses. Deliver insights and recommendations", "postedDate" : "2026-06-15T23:22:36.694", "createdAt" : "2026-06-15T23:22:36.694", "lastUpdated" : "2026-06-16T08:10:16.333", "ingestTimestamp" : "2026-06-15T23:22:36.694", "mongoId" : "6a305ffff292fd229cf840cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Strategic analysis", "Retail analytics", "Client management", "Data insights", "Analytics", "Storytelling", "Reporting efficiency", "Project management", "CPG/Retail analytics", "Natural products industry", "Circana", "NielsenIQ", "SPINS", "Numerator" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 718.51013, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306030f292fd229cf87d7e", "title" : "Data Analyst - Financial Crime", "company" : "Ebury", "industry" : "FinTech", "salary" : { "min" : 35000.0, "max" : 50000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Analyst in the FinTech industry in Málaga, Spain, adjusted for experience and company size." }, "location" : "Madrid", "locations" : [ "Madrid", "Málaga" ], "timestamp" : "2026-06-16T11:07:52.416", "fingerprint" : "c39f7760a33fd2c24dccfc5177b696ae16bfa79476ceb688d5b76a1fc0be5c4e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4895029101", "externalId" : "4895029101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Málaga", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "36.7647913,-4.4422005" }, { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Málaga, Spain; Madrid, Spain", "experienceMinYears" : 2, "experienceMaxYears" : 4, "technicalSkills" : "SQL, Dbt, Google Cloud BigQuery, Sigma, Python, Git", "professionalSkills" : [ "Data modeling", "Risk detection", "Operational efficiency", "Data-driven controls", "Detection mechanisms", "Investigative tools", "Transaction monitoring", "Customer risk assessment", "Behavioral analysis", "Investigation support", "Data quality checks", "Data controls", "Analytical tools", "Actionable insights", "Process automation", "Continuous improvement", "Screening", "Alert handling", "Data pipelines", "Analytical datasets", "Risk interpretation" ], "hardSkillsList" : [ "Data modeling", "Data quality", "Risk assessment", "Behavioral analysis", "Transaction monitoring", "Data pipelines", "Analytical datasets" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Behavioral analysis", "level" : "intermediate" }, { "name" : "Transaction monitoring", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical datasets", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Financial Crime, SQL, Data Modeling", "majorSkillsList" : [ "Data Analytics", "Financial Crime", "SQL", "Data Modeling" ], "coreResponsibilities" : "Design data models, Maintain data models, Design datasets, Maintain datasets, Gather requirements, Extract data, Transform data, Validate data, Deploy solutions, Develop detection logic, Optimise detection logic, Develop monitoring rules, Optimise monitoring rules, Perform data quality checks, Perform data controls, Build dashboards, Build analytical tools, Support investigations, Support alert triage, Support risk assessment, Identify data gaps, Deliver actionable insights, Contribute to automation, Contribute to continuous improvement", "teamCollaboration" : "AML business teams; Compliance teams; Product teams; Investigators; Compliance analysts", "domainKnowledge" : "Financial crime; Payment flows; FX; Banking products; Regulatory requirements; Compliance requirements; Transaction monitoring systems; Alerting frameworks", "domainList" : [ "financial-crime", "payment-flows", "fx", "banking-products", "regulatory-requirements", "compliance-requirements", "transaction-monitoring-systems", "alerting-frameworks" ], "domainSpecificKnowledge" : [ "Financial crime", "Payment flows", "FX", "Banking products", "Regulatory requirements", "Compliance requirements", "Transaction monitoring systems", "Alerting frameworks" ], "toolProficiency" : [ "Dbt", "Google Cloud BigQuery", "Sigma", "Git" ], "continuousLearning" : "Personal development; Language courses", "problemSolvingSkills" : "Analytical thinking", "qualificationsBasic" : "2-4 years experience in Data Business Analytics, Advanced SQL skills, Experience building data pipelines, Experience building transformations, Experience building analytical datasets, Solid understanding of financial crime frameworks, Fluency in English", "qualificationsPreferred" : "Experience in FinCrime, Experience in Compliance, Experience in Risk, Experience in Financial Services, Experience with dbt, Experience with Google Cloud BigQuery, Experience with Sigma, Experience with Git, Experience working with Python, Knowledge of payment flows, Knowledge of FX, Knowledge of banking products, Analytical thinking, Focus on data quality, Focus on controls, Focus on risk interpretation, Experience with transaction monitoring systems, Experience with alerting frameworks, Ability to translate regulatory requirements, Ability to translate compliance requirements, Spanish fluency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Data Analyst - Financial Crime Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week Ebury’s strategic growth plan would not be possible without our Data Analytics & Anti-Money Laundering teams and we are seeking a Data Analyst to join our Financial Crime domain! Our data mission is to enable effective risk detection, monitoring and operational efficiency through robust data models, scalable analytics and high quality reporting. The team works closely with AML business teams, Compliance and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.Projects range from building curated data models that power transaction monitoring and screening capabilities, to developing analytical frameworks for customer risk assessment, behavioural analysis, and investigation support across our global entities. As part of the team you will Design and maintain data models and datasets used for transaction monitoring, customer risk assessment, and financial crime investigations. Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment. Develop and optimise detection logic and monitoring rules (e. g. transaction monitoring scenarios, anomaly detection, behavioural patterns). Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets. Build dashboards and analytical tools in Sigma to support investigations, alert triage, and risk assessment workflows. Collaborate with investigators and compliance analysts to identify data gaps and deliver actionable insights. Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling). What we’re looking for 2-4 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services. Advanced SQL skills – able to read and write queries across complex datasets. Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Sigma, Git. Experience building data pipelines, transformations, and analytical datasets. Solid understanding of financial crime frameworks. Experience working with Python is desirable. Knowledge of payment flows, FX, or banking products is desirable. Strong analytical thinking with focus on data quality, controls, and risk interpretation. Experience working with transaction monitoring systems or alerting frameworks is a plus. Ability to translate regulatory and compliance requirements into data logic. Fluency in English (Spanish, a plus). What Ebury offers you Competitive salary conditions. Private health insurance, gympass and access to Meditopia. Support to progress your career in the Data & Analytics world. Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack. Flexible workplace environment (hybrid model, 4 days office / 1 day remote). 23 days of annual leave plus your birthday off and all the Málaga/Madrid public holidays. Fun in-person off-sites and virtual get-togethers. Personal development including language courses. #LI-JC1 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Data Analyst - Financial Crime at Ebury. Skills: Data Analytics, Financial Crime, SQL, Data Modeling. Design data models. Maintain data models", "postedDate" : "2026-06-15T23:26:34.018", "createdAt" : "2026-06-15T23:26:34.018", "lastUpdated" : "2026-06-16T11:07:52.416", "ingestTimestamp" : "2026-06-15T23:26:34.018", "mongoId" : "6a306030f292fd229cf87d7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data quality", "Risk assessment", "Behavioral analysis", "Transaction monitoring", "Data pipelines", "Analytical datasets", "Data Analytics", "Financial Crime", "SQL", "Data Modeling", "Risk detection", "Operational efficiency", "Data-driven controls", "Detection mechanisms", "Investigative tools", "Customer risk assessment", "Investigation support", "Data quality checks", "Data controls", "Analytical tools", "Actionable insights", "Process automation", "Continuous improvement", "Screening", "Alert handling", "Risk interpretation", "Financial crime", "Payment flows", "FX", "Banking products", "Regulatory requirements", "Compliance requirements", "Transaction monitoring systems", "Alerting frameworks", "Dbt", "Google Cloud BigQuery", "Sigma", "Git" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 717.988, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 715.3402, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305640f292fd229cf26503", "title" : "Lead, Finance Insights", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for E-Commerce in Karachi, Pakistan, adjusted for Lead seniority and full-time employment." }, "location" : "Karachi, PK", "locations" : [ "Karachi", "PK" ], "certifications" : [ "ACCA", "CA" ], "timestamp" : "2026-06-16T07:30:37.079", "fingerprint" : "c71bf2a12138d783572aaebb208ecaa5ea1c604a4a1c90a40bb7560d7fb6f0fc", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132119619-lead-finance-insights", "externalId" : "744000132119619", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Karachi", "state" : "Sindh", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.8546842,67.0207055" } ], "locationText" : "Karachi, Sindh, Pakistan", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Excel, Financial planning systems, Reporting tools", "professionalSkills" : [ "Financial planning", "Analytical skills", "Financial modeling", "Data analysis", "Business partnering", "Stakeholder management", "Presentation abilities", "Communication abilities" ], "hardSkillsList" : [ "Financial analysis", "Performance reporting", "Strategic financial analysis", "Financial governance", "Performance management", "Variance analysis", "Scenario modeling", "Resource allocation", "Financial control", "Process optimization" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Performance reporting", "level" : "intermediate" }, { "name" : "Strategic financial analysis", "level" : "intermediate" }, { "name" : "Financial governance", "level" : "intermediate" }, { "name" : "Performance management", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Scenario modeling", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Financial control", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" } ], "majorSkills" : "Financial Planning, Forecasting, Management Reporting, Financial Analysis", "majorSkillsList" : [ "Financial Planning", "Forecasting", "Management Reporting", "Financial Analysis" ], "coreResponsibilities" : "Lead annual budgeting process, Coordinate planning inputs, Develop bottom-up budgets, Analyze budget submissions, Prepare management presentations, Manage periodic forecasting cycles, Review financial performance, Identify performance gaps, Support development of financial KPIs, Prepare monthly financial reports, Lead financial performance reviews, Deliver financial insights, Ensure accuracy of reporting, Conduct ad-hoc financial analyses, Evaluate business initiatives, Support strategic projects, Provide recommendations to optimize profitability, Review month-end financial results, Perform variance analysis, Investigate significant movements, Support balance sheet reviews, Ensure compliance with policies, Drive enhancements in processes, Develop financial models, Maintain planning tools, Support automation initiatives, Contribute to finance transformation, Partner with country leadership, Facilitate alignment between objectives, Provide financial insights", "teamCollaboration" : "Business leaders; Functional stakeholders; Cross-functional teams; Country leadership; Functional heads; Regional finance teams; Shared service teams", "domainKnowledge" : "Financial planning; Budgeting; Forecasting; Performance reporting; Management reviews; Strategic financial analysis; Financial governance; Financial KPIs; Variance analysis; Business case evaluations; Scenario modeling; Investment opportunities; Resource allocation; Month-end close; Financial control; Financial models; Planning tools; Reporting solutions; Finance transformation", "domainList" : [ "financial-planning", "budgeting", "forecasting", "performance-reporting", "management-reviews", "strategic-financial-analysis", "financial-governance", "financial-kpis", "variance-analysis", "business-case-evaluations", "scenario-modeling", "investment-opportunities", "resource-allocation", "month-end-close", "financial-control", "financial-models", "planning-tools", "reporting-solutions", "finance-transformation" ], "domainSpecificKnowledge" : [ "Financial planning", "Budgeting", "Forecasting", "Performance reporting", "Management reviews", "Strategic financial analysis", "Financial governance", "Financial KPIs", "Variance analysis", "Business case evaluations", "Scenario modeling", "Investment opportunities", "Resource allocation", "Month-end close", "Financial control", "Financial models", "Planning tools", "Reporting solutions", "Finance transformation" ], "toolProficiency" : [ "Excel", "Financial planning systems", "Reporting tools" ], "communicationSkills" : "Presentation abilities; Communication abilities", "continuousLearning" : "Expand your skill set; Accelerate your career; Opportunities to learn; Grow", "problemSolvingSkills" : "Problem-solving capability", "outcomesObjectives" : "Achievement of financial targets; Improve business performance; Support strategic decision-making; Optimize profitability; Optimize cash flow; Optimize resource allocation; Make a meaningful impact", "qualificationsBasic" : "5–8 years of experience, Experience in budgeting, Experience in forecasting, Experience in management reporting, Experience in financial modeling, Experience working with senior stakeholders, Experience working with cross-functional teams", "qualificationsPreferred" : "Professional qualification such as ACCA, Professional qualification such as CA, Equivalent preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "foodpanda is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. Job Purpose The Lead, Finance Insights is responsible for driving financial planning, budgeting, forecasting, performance reporting, management reviews, and strategic financial analysis to support business decision-making. The role partners closely with business leaders and functional stakeholders to deliver financial insights, ensure robust financial governance, and enable achievement of financial targets through effective planning and performance management. Key Responsibilities: Financial Planning & Budgeting * Lead the annual budgeting process, including development of timelines, planning assumptions, budgeting templates, and governance frameworks. * Coordinate with business and functional stakeholders to gather planning inputs and ensure alignment with strategic objectives. * Develop and consolidate bottom-up budgets, including P&L, working capital, cash flow, and capital expenditure plans. * Analyze budget submissions, identify risks and opportunities, and recommend gap-closing initiatives. * Prepare management presentations and supporting materials for budget review and approval forums. Forecasting & Financial Performance Management * Manage periodic forecasting cycles, including Monthly and rolling forecasts and Quarterly Targets. * Review financial performance against budget, forecast, prior year, and strategic targets. * Identify performance gaps, key drivers, risks, and opportunities, and provide actionable recommendations. * Support development and monitoring of financial KPIs to improve business performance. Management Reporting & Business Reviews * Prepare monthly financial reports. * Lead financial performance reviews with senior management and business stakeholders. * Deliver meaningful financial insights, variance analysis, and commentary to support strategic decision-making. * Ensure accuracy, consistency, and timely delivery of management reporting packs. Financial Analysis & Business Partnering * Conduct ad-hoc financial analyses, business case evaluations, and scenario modeling. * Partner with commercial, supply chain, operations, and support functions to evaluate business initiatives and investment opportunities. * Support strategic projects and transformation initiatives through financial assessment and performance tracking. * Provide recommendations to optimize profitability, cash flow, and resource allocation. Month-End Close & Financial Governance * Review month-end financial results and validate completeness, accuracy, and consistency of financial information. * Perform variance analysis and investigate significant movements in financial performance. * Support balance sheet reviews, account reconciliations, and financial control activities. * Ensure compliance with internal policies, procedures, and financial governance requirements. Continuous Improvement * Drive enhancements in planning, forecasting, reporting, and financial analysis processes. * Develop and maintain financial models, planning tools, and reporting solutions. * Support automation, standardization, and process optimization initiatives across the finance function. * Contribute to finance transformation projects and implementation of best practices. Stakeholder Management * Partner with country leadership, functional heads, regional finance teams, and shared service teams. * Facilitate alignment between business objectives and financial targets. * Act as a trusted advisor by providing timely financial insights and recommendations. ## Qualifications Qualifications & Experience * Professional qualification such as ACCA, CA or equivalent preferred. * 5–8 years of experience in Financial Planning & Analysis, Commercial Finance, Business Finance, or Controlling. * Strong experience in budgeting, forecasting, management reporting, and financial modeling. * Experience working with senior stakeholders and cross-functional teams. Skills & Competencies * Strong financial planning and analytical skills. * Advanced financial modeling and data analysis capabilities. * Excellent business partnering and stakeholder management skills. * Strong presentation and communication abilities. * Ability to translate financial data into actionable business insights. * High attention to detail and problem-solving capability. * Proficiency in Excel, financial planning systems, and reporting tools ## Additional Information Why Join foodpanda Pakistan? * Our business is focused on growth which offers plenty of opportunities to take ownership, expand your skill set, and accelerate your career * Collaborative, high-performing, and diverse team environment * Flexible working arrangements, including Friday work-from-home * Competitive rewards package, including fuel card, corporate and mobile allowances * Comprehensive healthcare coverage, including OPD and IPD benefits * Opportunities to learn, grow, and make a meaningful impact in a fast-paced business", "summaryDescription" : "Lead, Finance Insights at Delivery Hero. Skills: Financial Planning, Forecasting, Management Reporting, Financial Analysis. Lead annual budgeting process. Coordinate planning inputs", "postedDate" : "2026-06-15T06:25:39.000", "createdAt" : "2026-06-15T23:34:57.510", "lastUpdated" : "2026-06-16T07:30:37.079", "ingestTimestamp" : "2026-06-15T23:34:57.510", "mongoId" : "6a305640f292fd229cf26503", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Financial analysis", "Performance reporting", "Strategic financial analysis", "Financial governance", "Performance management", "Variance analysis", "Scenario modeling", "Resource allocation", "Financial control", "Process optimization", "Financial Planning", "Forecasting", "Management Reporting", "Financial Analysis", "Financial planning", "Analytical skills", "Financial modeling", "Data analysis", "Business partnering", "Stakeholder management", "Presentation abilities", "Communication abilities", "Budgeting", "Management reviews", "Financial KPIs", "Business case evaluations", "Investment opportunities", "Month-end close", "Financial models", "Planning tools", "Reporting solutions", "Finance transformation", "ACCA", "CA", "Excel", "Financial planning systems", "Reporting tools" ], "skillCount" : 37, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 701.43256, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 699.4356, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c5fb974d8ee00a08ee12b", "title" : "Cleared Onsite Data Analyst", "company" : "cBEYONData + SMX", "salary" : { "min" : 95600.0, "max" : 160700.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hollywood, Maryland, United States", "locations" : [ "Hollywood", "Maryland", "United States" ], "timestamp" : "2026-06-14T18:59:43.189", "fingerprint" : "d16e3e18cc7aa78a4308cea7e1b772fa8f775b8fe45fc3d8f2b6bb2fa95b488b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ess/jobs/7702170003", "externalId" : "7702170003", "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Apache Airflow, AWS Glue, Informatica, AWS Redshift", "professionalSkills" : [ "Data processing systems", "Data pipelines", "Data solutions", "Database operations", "Data requirements", "Data architectures", "Data integrity", "Data quality", "Data-related issues", "Data processes", "Data workflows" ], "hardSkillsList" : [ "ETL processes", "Data warehousing", "Data integration", "Data processing", "Performance optimization" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" } ], "majorSkills" : "Data pipelines, ETL, Data warehousing, AWS", "majorSkillsList" : [ "Data pipelines", "ETL", "Data warehousing", "AWS" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Maintain data pipelines, Integrate data from sources, Implement ETL processes, Manage database operations, Optimize database operations, Collaborate with data analysts, Understand data requirements, Translate data requirements, Create data architectures, Optimize performance, Ensure data integrity, Conduct testing, Validate data processes, Maintain data quality, Maintain data reliability, Troubleshoot data issues, Resolve data issues, Document data processes, Document data workflows, Document data solutions", "teamCollaboration" : "Cross-functional teams; With data analysts; With stakeholders; Team collaboration", "domainKnowledge" : "Data warehousing; Data integration; Data processing; Performance optimization", "domainList" : [ "data-warehousing", "data-integration", "data-processing", "performance-optimization" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data integration", "Data processing", "Performance optimization" ], "toolProficiency" : [ "Apache Airflow", "AWS Glue", "Informatica" ], "documentationSkills" : "Document data processes; Document data workflows; Document data solutions", "continuousLearning" : "Stay updated with emerging technologies; Stay updated with best practices", "problemSolvingSkills" : "Troubleshoot and resolve data-related issues", "specialRequirements" : "On-site work four days a week, Active Top-Secret clearance", "outcomesObjectives" : "Support strategic decision-making; Support business operations; Deliver reliable back-end data solutions; Deliver scalable back-end data solutions; Ensure reliable processing; Ensure efficient processing; Ensure performance optimization; Ensure data integrity; Maintain high data quality; Maintain high data reliability; Ensure uninterrupted business operations", "qualificationsBasic" : "6 + years of data analysis experience, Proficiency in SQL, Experience with ETL tools, Experience with data orchestration tools, Familiarity with cloud platforms, Familiarity with AWS services, Knowledge of data warehousing, Knowledge of data integration techniques, Understanding of data processing, Understanding of performance optimization, Active Top-Secret clearance", "qualificationsPreferred" : "Bachelor's degree in Statistics, Bachelor's degree in Mathematics, Bachelor's degree in Computer Science, Bachelor's degree in Business Analytics, Experience with federal data modernization, Experience with federal analytics programs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SMX is seeking a motivated and detail-oriented Data Analyst to join our team. This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with cross-functional teams to deliver reliable and scalable back-end data solutions. This is a full-time position requiring on-site work four days a week at a client’s office in Washington, D. C. An active Top-Secret clearance is mandatory. Key Responsibilities • Design, develop, and maintain data pipelines, integrating data from various sources to ensure reliable and efficient processing. • Implement ETL (Extract, Transform, Load) processes using tools such as Apache Airflow, AWS Glue, Informatica, or similar technologies. • Manage and optimize database operations, leveraging SQL and working with modern data warehousing platforms such as AWS Redshift. • Collaborate with data analysts and other stakeholders to understand data requirements and translate them into robust back-end solutions. • Create scalable and efficient data architectures, ensuring performance optimization and data integrity. • Conduct thorough testing and validation of data processes to maintain high data quality and reliability. • Troubleshoot and resolve data-related issues to ensure uninterrupted business operations. • Document data processes, workflows, and solutions for knowledge sharing and team collaboration. • Stay updated with emerging technologies and best practices in data engineering and development. Required Qualifications • 6 + years of data analysis experience • Proficiency in SQL and a strong understanding of database systems. • Experience with ETL and data orchestration tools such as Apache Airflow, AWS Glue, or Informatica. • Familiarity with cloud platforms and services, particularly AWS. • Knowledge of data warehousing and data integration techniques. • Strong understanding of data processing and performance optimization. Preferred Qualifications • Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Business Analytics. • Experience with federal data modernization or analytics programs. **This position requires four days a week on site at customer location in Washington DC. ** Application deadline 7-10-2026 #LI-SA #cjpost The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $95,600—$160,700 USD SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Cleared Onsite Data Analyst at cBEYONData + SMX. Skills: Data pipelines, ETL, Data warehousing, AWS. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-12T22:16:41.648", "createdAt" : "2026-06-12T22:16:41.648", "lastUpdated" : "2026-06-14T18:59:43.189", "ingestTimestamp" : "2026-06-12T22:16:41.648", "mongoId" : "6a2c5fb974d8ee00a08ee12b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95600, "salaryAnnualMax" : 160700, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "ETL processes", "Data warehousing", "Data integration", "Data processing", "Performance optimization", "Data pipelines", "ETL", "AWS", "Data processing systems", "Data solutions", "Database operations", "Data requirements", "Data architectures", "Data integrity", "Data quality", "Data-related issues", "Data processes", "Data workflows", "Apache Airflow", "AWS Glue", "Informatica" ], "skillCount" : 21, "jobCategory" : "other", "jobSubcategory" : "federal-civilian,-platforms-&-data", "dataQualityScore" : 1.0, "_score" : 692.14404, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30672df292fd229cfba159", "title" : "Director or Associate Director, EU Financial Services (Public Policy)", "company" : "FGS Global", "industry" : "Consulting", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director in Brussels, Belgium, adjusted for the consulting industry and company size." }, "location" : "Brussels", "locations" : [ "Brussels" ], "timestamp" : "2026-06-16T08:57:10.809", "fingerprint" : "59ff1b46d2ab9c9686b8301533c5bb262a5086bfdd327a412c3f30ec1261fce8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fgsglobal/jobs/5162116007", "externalId" : "5162116007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brussels", "country" : "Belgium", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.8467372,4.3524930" } ], "locationText" : "Brussels, Belgium", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "professionalSkills" : [ "Policy analysis", "Client delivery", "Stakeholder engagement", "Project management", "New business support", "Team support" ], "hardSkillsList" : [ "Financial services policy", "Regulatory developments" ], "hardSkills" : [ { "name" : "Financial services policy", "level" : "intermediate" }, { "name" : "Regulatory developments", "level" : "intermediate" } ], "majorSkills" : "Public Policy, Client Management", "majorSkillsList" : [ "Public Policy", "Client Management" ], "coreResponsibilities" : "Track and interpret EU financial services policy, Translate complex legislative changes into actionable insights, Connect regulatory developments to political context, Lead the delivery of client mandates, Contribute to day-to-day account management, Ensure high-quality written and oral outputs, Lead in identifying and engaging stakeholders, Own specific workstreams within mandates, Coordinate across internal teams, Ensure delivery meets deadlines, Contribute to securing new business, Provide guidance and feedback to junior colleagues", "teamCollaboration" : "Coordinating across internal teams; Close collaboration with integrated project teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "EU financial services policy; Financial services sector", "domainList" : [ "eu-financial-services-policy", "financial-services-sector" ], "domainSpecificKnowledge" : [ "EU financial services policy", "Financial services sector" ], "communicationSkills" : "Client-ready analysis; Oral outputs; Written outputs", "continuousLearning" : "Continuous development; FGS Global Academy", "qualificationsBasic" : "5–10 years of experience, Direct experience working on financial services policy and regulation, Excellent written and oral skills, Very good working knowledge of the EU financial services policy landscape, Ability to engage confidently with clients and external stakeholders, Organisational skills and a track record of delivering to deadlines", "qualificationsPreferred" : "Fluency in additional European languages", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Director or Associate Director, EU Financial Services (Public Policy) (all genders) FGS Global is the strategic leadership advisory for a complex world. We help our clients anticipate what's next, influence what matters and orchestrate outcomes that last. We work across strategic and financial communications, policy and public affairs, corporate reputation, crisis management, AI advisory and data-driven digital engagement. With 1,400 professionals in 31 offices around the world, our capabilities give leaders an integrated advantage at every critical moment. Our Brussels office serves as our EU hub, and we are looking for a Director or Associate Director to join our Financial Services Policy team there. Join our team in Brussels as a Director or Associate Director, EU Financial Services (all genders) Your Responsibilities Policy monitoring and analysis: Track and interpret EU financial services policy and regulatory developments, translating complex legislative changes into clear, actionable insights for clients that go beyond surface-level monitoring. We expect analysis that connects regulatory developments to the political and geopolitical context and specific business needs of each client, presented in a way that is immediately understandable and useful to non-specialist audiences. Client delivery: Lead the delivery of client mandates across the financial services sector, contributing to day-to-day account management and ensuring high-quality written and oral outputs. Stakeholder engagement: Lead in identifying and engaging relevant political, policy and regulatory stakeholders across the EU institutions, member-state representations, trade associations and think tanks. Project management: Own specific workstreams within larger mandates, coordinating across internal teams and ensure delivery meets deadlines and the highest standards. New business support: Contribute to securing new business, including research, engagement, writing proposals and participating in pitch meetings alongside senior colleagues. Junior team support: Provide guidance and feedback to junior colleagues, contributing to a culture of high performance within the team. What You Should Bring The ideal candidate has a solid grounding in EU financial services policy, gained through experience in a consultancy, trade association, EU institution or regulatory body, member-state representation and/or financial institution. You understand how policy and regulation affect businesses operating in the financial services sector, and you know how to communicate that clearly to clients whose priorities and pressures differ from those of the institutions. 5–10 years of experience (depending on level) in a public-affairs agency, management consultancy, strategic advisory firm, trade association, EU institution or regulatory body, member-state representation and/or financial institution. Direct experience working on financial services policy and regulation. Excellent written and oral skills, with a demonstrated ability to translate complex policy and regulatory developments into concise, client-ready analysis. Very good working knowledge of the EU financial services policy landscape, including key legislative files and the organisations that shape them. Ability to engage confidently with clients and external stakeholders, with support from senior colleagues where needed. Strong organisational skills and a track record of delivering to deadlines across multiple workstreams. Proactive, collaborative approach with an interest in developing your own expertise and client relationships over time. Fluency in English; additional European languages are an asset. What We Offer The opportunity to work within one of the world’s leading strategic leadership advisory firms, on high-profile mandates across EU institutions, member states and global clients. The opportunity to contribute to and shape FGS Global’s Financial Services Policy team in Brussels. Exciting mandates and real development prospects across financial-services markets, geographies and practice areas. An inspiring working environment, with the opportunity to work at another of our offices for a limited period of time. Induction and individual support from experienced senior consultants. Continuous development through close collaboration with integrated project teams and the FGS Global Academy. A dedicated and supportive Financial Services Policy team that works across the UK, Europe and southeast Asia. A corporate culture that combines excellence with team spirit, and a flexible working model across our offices and from home. Don’t meet every single requirement? Don’t worry! Studies have shown that some groups of people are less likely to apply for jobs unless they meet every qualification. At FGS Global, we are committed to building a diverse, inclusive and authentic workplace. If you’re excited about this role and our company but your experience doesn’t perfectly align with every requirement in the job description, we encourage you to apply anyway. You may be just the right candidate for this or another role. We look forward to your complete application, including all relevant academic and professional certificates and/or reference letters. Find more information at https://fgsglobal.com/.", "summaryDescription" : "Director or Associate Director, EU Financial Services (Public Policy) at FGS Global. Skills: Public Policy, Client Management. Track and interpret EU financial services policy. Translate complex legislative changes into actionable insights", "postedDate" : "2026-06-15T23:29:33.931", "createdAt" : "2026-06-15T23:29:33.931", "lastUpdated" : "2026-06-16T08:57:10.809", "ingestTimestamp" : "2026-06-15T23:29:33.931", "mongoId" : "6a30672df292fd229cfba159", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Financial services policy", "Regulatory developments", "Public Policy", "Client Management", "Policy analysis", "Client delivery", "Stakeholder engagement", "Project management", "New business support", "Team support", "EU financial services policy", "Financial services sector" ], "skillCount" : 12, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 683.6883, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c94e874d8ee00a098be08", "title" : "Analista Pleno de Analytics e Data Insights", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Analytics and Data Insights Analyst in São Paulo, Brazil, adjusted for the FinTech industry and full-time employment." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T11:33:27.122", "fingerprint" : "d3625b69d11ef142c6dc896ea8273616389743b754964ca796f098f0899acc90", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4880672101", "externalId" : "4880672101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI", "professionalSkills" : [ "Data analysis", "Data modeling", "Data segmentation" ], "hardSkillsList" : [ "Data manipulation", "Performance analysis", "Business intelligence" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" } ], "majorSkills" : "Data Insights, Analytics, SQL, Power BI", "majorSkillsList" : [ "Data Insights", "Analytics", "SQL", "Power BI" ], "domainKnowledge" : "Payment methods; Banking; Fintech; Pix; Tap on Phone; Payment link; PAT; Customer journey; Product funnels", "domainList" : [ "payment-methods", "banking", "fintech", "pix", "tap-on-phone", "payment-link", "pat", "customer-journey", "product-funnels" ], "domainSpecificKnowledge" : [ "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Clear presentation; Objective presentation", "documentationSkills" : "Document concepts; Document metrics; Document premises", "continuousLearning" : "Language learning platform; LinkedIn Learning access; O'Reilly access", "problemSolvingSkills" : "Problem-solving profile; Autonomy in analysis", "qualificationsBasic" : "Solid SQL knowledge, Programming logic knowledge, Power BI dashboard experience, Large data volume manipulation, Clear communication, Objective presentation, Analytical profile, Organized profile, Problem-solving profile, Autonomy in analysis, Hands-on profile, Strategic profile", "qualificationsPreferred" : "Payment methods experience, Banking experience, Fintech experience, Pix knowledge, Tap on Phone knowledge, Payment link knowledge, PAT knowledge, Experimentation notions, A/B testing notions, Profitability indicators experience, Monetization indicators experience, Commercial efficiency indicators experience, Customer journey analysis experience, Product funnel analysis experience, Python knowledge, R knowledge", "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Analista Pleno de Analytics e Data Insights para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Construir, atualizar e evoluir dashboards executivos e operacionais. Criação e manutenção de painéis para acompanhamento dos produtos. Acompanhar indicadores por produto, canal, segmento, região e perfil de cliente. Realizar análises de performance dos produtos, identificando variações, tendências, oportunidades e possíveis causas de crescimento ou queda. Apoiar a gestão dos funis de aquisição, ativação, uso, retenção e monetização dos produtos. Identificar gargalos na jornada do cliente e propor oportunidades de otimizaçã o. Modelagem de dados e segmentaçã o. Criação de cohorts e análises por comportamento. Apoiar as áreas de produto e negócio com análises estruturadas e recomendações baseadas em dados. Garantir consistência básica das informações utilizadas em dashboards e relatórios. Documentar conceitos, métricas e premissas utilizadas nas análises. ✅ O que buscamos em você Experiência prévia com Analytics, BI, Dados ou áreas correlatas. Conhecimento sólido em SQL e lógica de programaçã o. Experiência em construção de dashboards em Power BI. Capacidade de manipulação de grandes volumes de dados. Boa capacidade de comunicação para apresentar análises de forma clara e objetiva. Perfil analítico, organizado e orientado à resolução de problemas. Capacidade de atuar com autonomia em análises. Perfil hands-on + estratégico. ✅ O que pode contar pontos a mais Experiência em meios de pagamento, bancos ou fintechs. Conhecimento em produtos como Pix, Tap on Phone, Link de pagamento, PAT. Noções de experimentação (A/B test). Familiaridade com indicadores de rentabilidade, monetização ou eficiência comercial. Experiência com análise de jornada do cliente ou funis de produto. Conhecimento em Python/R (plus). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Analista Pleno de Analytics e Data Insights at Getnet. Skills: Data Insights, Analytics, SQL, Power BI", "postedDate" : "2026-06-14T01:22:25.107", "createdAt" : "2026-06-14T01:22:25.107", "lastUpdated" : "2026-06-15T11:33:27.122", "ingestTimestamp" : "2026-06-14T01:22:25.107", "mongoId" : "6a2c94e874d8ee00a098be08", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Performance analysis", "Business intelligence", "Data Insights", "Analytics", "SQL", "Power BI", "Data analysis", "Data modeling", "Data segmentation", "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 681.91296, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe69", "title" : "Senior Data Analyst, Ads, Sales Enablement & Insights", "company" : "Amazon Advertising", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:24:06.134", "fingerprint" : "54b69ad1004c05cea3d218d7f19b57a3699b2b68dd740fbe67e230d52c94e0d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051447/apply", "externalId" : "301d7cb9-36c7-4ad3-b81d-545f8a8790b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI", "professionalSkills" : [ "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives" ], "hardSkillsList" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Scaling insights", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Insights, Automation", "majorSkillsList" : [ "Data analysis", "Insights", "Automation" ], "coreResponsibilities" : "Lead critical analytical projects, Shape insights and recommendations, Understand customer advertising problems, Leverage Amazon's first party insights, Leverage third party insights, Identify potential insights solutions, Automate and scale insights, Mentor junior employees, Play active role in maintaining team culture, Collaborate with senior stakeholders, Help advertisers and agencies optimize investment, Grow investment on Amazon Ads, Create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "teamCollaboration" : "Global stakeholder exposure; Collaborate with engineering teams; Collaborate with senior stakeholders", "domainKnowledge" : "Digital advertising; Media analytics; Ecommerce advertising", "domainList" : [ "digital-advertising", "media-analytics", "ecommerce-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Media analytics", "Ecommerce advertising" ], "communicationSkills" : "Written communication; Verbal communication; Data-driven narratives", "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Leverage AI and automation", "problemSolvingSkills" : "Translate data into insights; Identify scaling opportunities", "qualificationsBasic" : "Bachelor's degree in quantitative discipline, 6+ years of experience in business analysis, data science, or business intelligence, Expert-level SQL skills, Programming skills in Python or R, Business acumen, Experience translating data into insights, Excellent written and verbal communication skills, Global stakeholder exposure, Collaborate with engineering teams, Use SQL and Python to create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "qualificationsPreferred" : "Master's degree in computer science, Data Science, Engineering, or related field, Prior experience in digital advertising or media analytics, Knowledge of experimentation frameworks, Knowledge of statistical modeling techniques, Experience influencing senior decision-makers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. The A&I organization consists of a variety of different Practices, which are groups that focus on different approaches to create these insights. Key job responsibilities We are looking for a Senior Analyst to lead critical analytical projects in support of Amazon’s Global Advertising organization. This individual will play a strategic role in shaping insights and recommendations that impact key advertising initiatives. The ideal candidate will be able to understand the customer's advertising problems and leverage Amazon's first party insights to find a solution. The candidate will also be able to leverage third party insights (when necessary). The candidate will identify potential insights solutions to automate and scale. They will help mentor junior employees on the team and play an active role in maintaining team culture and morale. This is a highly visible role, requiring collaboration with senior stakeholders in globally. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., Engineering, Math) - 6+ years of experience in business analysis, data science, or business intelligence - Expert-level SQL skills and experience manipulating large datasets - Strong programming skills in Python or R for automation and modeling - Strong business acumen and experience in translating data into insights - Excellent written and verbal communication skills with global stakeholder exposure - Collaborate with engineering teams to implement scalable solutions - Use SQL and Python to create and enhance insights, analyzing complex datasets to identify scaling opportunities - Design and implement quality control processes for scaled insights - Identify opportunities to leverage AI and automation in content creation - Maintain documentation and best practices for insights scaling Preferred Qualifications: - Master’s degree in computer science, Data Science, Engineering, or related field - Prior experience in digital advertising or media analytics - Knowledge of experimentation frameworks and statistical modeling techniques - Experience influencing senior decision-makers through data-driven narratives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Analyst, Ads, Sales Enablement & Insights at Amazon Advertising. Skills: Data analysis, Insights, Automation. Lead critical analytical projects. Shape insights and recommendations", "postedDate" : "2026-06-13T11:47:34.930", "createdAt" : "2026-06-13T11:47:34.930", "lastUpdated" : "2026-06-15T04:24:06.134", "ingestTimestamp" : "2026-06-13T11:47:34.930", "mongoId" : "68b706997fc9a711f0f6fe69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051447/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights", "Mentoring", "Data analysis", "Insights", "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives", "Digital advertising", "Media analytics", "Ecommerce advertising" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 680.56494, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ecommerce" }, { "id" : "6a2a660f74d8ee00a062bcbf", "title" : "Business Analyst II, Financial Fraud", "company" : "ADCI", "industry" : "Business Intelligence, Planning/development, selling partner services", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Analyst II in the Technology industry in Bengaluru, India, adjusted for company size and specific role focus on financial fraud." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T06:11:19.963", "fingerprint" : "f2420dcae59c6e1474c075da815b5a898bcb9c3ad6cff0d5a121ed69ab405fa9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441776/apply", "externalId" : "dc11b670-c1d4-4568-88df-ac0da0a6c709", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Tableau, Quick Sight, Power BI, VBA", "professionalSkills" : [ "Financial analysis", "Data analytics", "Business analysis", "Risk models" ], "hardSkillsList" : [ "Data transformation", "Metadata modeling", "Pipeline monitoring", "Query performance tuning", "Root cause analysis", "Trend analysis", "Pattern analysis", "Data visualization", "Dashboard creation" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Metadata modeling", "level" : "intermediate" }, { "name" : "Pipeline monitoring", "level" : "intermediate" }, { "name" : "Query performance tuning", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Pattern analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" } ], "majorSkills" : "Financial Fraud, Data Analytics, Business Insights", "majorSkillsList" : [ "Financial Fraud", "Data Analytics", "Business Insights" ], "coreResponsibilities" : "Develop analytic solution, Drive deep dives, Provide insights into operations, Measure business impact, Transform data into insights, Make data accessible to stakeholders, Own dataset design, Own dataset creation, Own dataset management, Create datasets, Create reports, Create dashboards, Metadata modeling, Pipeline monitoring, Gather requirements, Structure data solutions, Gain understanding of datasets, Design analytic technologies, Implement analytic technologies, Drive adoption of analytic technologies, Promote industry standards, Tune query performance, Translate insights into recommendations, Create actionable recommendations", "teamCollaboration" : "Interact with program owners; Interact with product owners; Interact with technical teams", "domainKnowledge" : "Financial fraud; Risk models; Abusive actors; Unfair business practices", "domainList" : [ "financial-fraud", "risk-models", "abusive-actors", "unfair-business-practices" ], "domainSpecificKnowledge" : [ "Financial fraud", "Risk models", "Abusive actors", "Unfair business practices" ], "toolProficiency" : [ "Excel", "Tableau", "Pivot tables", "Array functions", "Power pivots" ], "communicationSkills" : "Present complex information", "innovationCreativity" : "Implement GenAI technologies", "problemSolvingSkills" : "Finding root causes; Finding trends; Finding patterns", "qualificationsBasic" : "3+ years Excel experience, 3+ years data visualization tools experience, 3+ years business analysis experience, 3+ years financial analysis experience, Experience defining requirements, Experience using data and metrics, Experience making business recommendations, Experience influencing stakeholders, Bachelor's degree or equivalent", "qualificationsPreferred" : "Bachelor's degree in finance, Bachelor's degree in accounting, Bachelor's degree in business, Bachelor's degree in economics, Bachelor's degree in engineering, Bachelor's degree in analytics, Bachelor's degree in mathematics, Bachelor's degree in statistics, Experience in data mining, Experience in ETL, Experience using databases, Experience with data scripting languages, Experience with statistical software, Experience with reporting tools, Experience with BI packages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the team At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. The Financial Fraud team designs risk models and operational processes that minimize risk and maximize trust in Amazon.com. We are looking for a Business Analyst with strong analytical skills and a passion for protecting our customers from abusive actors and unfair business practices. A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the operations and measure business impact. You will transform data into actionable business insights and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standards with the best practices. You will be responsible for tuning query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. Key job responsibilities An ideal candidate for this role: · Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies · Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide · Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format · Will be passionate about finding root causes, trends, and patterns and how they impact business. · Will draw inferences and conclusions, basics of modeling, create dashboards and visualizations of processed data . Will be comfortable in implementing GenAI technologies to create efficient impact in analytics. · Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the operations and measure business impact. You will transform data into actionable business insights and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standards with the best practices. You will be responsible for tuning query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. The Financial Fraud team designs risk models and operational processes that minimize risk and maximize trust in Amazon.com. We are looking for a Business Analyst with strong analytical skills and a passion for protecting our customers from abusive actors and unfair business practices. Basic Qualifications: - 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Bachelor's degree or equivalent Preferred Qualifications: - Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst II, Financial Fraud at ADCI. Skills: Financial Fraud, Data Analytics, Business Insights. Develop analytic solution. Drive deep dives", "postedDate" : "2026-06-13T19:04:36.340", "createdAt" : "2026-06-13T19:04:36.340", "lastUpdated" : "2026-06-15T06:11:19.963", "ingestTimestamp" : "2026-06-13T19:04:36.340", "mongoId" : "6a2a660f74d8ee00a062bcbf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441776/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data transformation", "Metadata modeling", "Pipeline monitoring", "Query performance tuning", "Root cause analysis", "Trend analysis", "Pattern analysis", "Data visualization", "Dashboard creation", "Financial Fraud", "Data Analytics", "Business Insights", "Financial analysis", "Data analytics", "Business analysis", "Risk models", "Financial fraud", "Abusive actors", "Unfair business practices", "Excel", "Tableau", "Pivot tables", "Array functions", "Power pivots" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 679.43677, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42bf8b1b0376634c6c9", "title" : "Insights and Measurement Lead", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Insights and Measurement role in Sao Paulo, Brazil, adjusted for the technology industry and onsite work mode." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T01:15:38.899", "fingerprint" : "da5b7a7ec744849f3a4f158d6390d5984821f202208cdecf30185b6f2cd4ac0d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076330/apply", "externalId" : "db54b73f-d169-45fd-b915-2bd16cbb9174", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SAS, SQL", "professionalSkills" : [ "Data analysis", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment" ], "hardSkillsList" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement" ], "softSkillsList" : [ "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric creation", "level" : "intermediate" }, { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Marketing mix modeling", "level" : "intermediate" }, { "name" : "Attribution frameworks", "level" : "intermediate" }, { "name" : "Advertising measurement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative approach" }, { "name" : "Navigate ambiguity" }, { "name" : "Solve complex problems" }, { "name" : "Thought leadership" } ], "majorSkills" : "Insights generation, Measurement strategy, Client relationships", "majorSkillsList" : [ "Insights generation", "Measurement strategy", "Client relationships" ], "coreResponsibilities" : "Leverage data for insights, Generate actionable insights, Own measurement relationships, Partner on learning objectives, Influence business decisions, Present findings consultatively, Collaborate on solutions, Translate concepts to recommendations, Influence sales initiatives, Influence marketing initiatives, Educate stakeholders, Advocate for data-driven decisions, Drive thought leadership, Encourage advertisers to act", "teamCollaboration" : "Internal teams; Cross-functional; Multiple business functions; Multiple geographies; Sales organization; Account management; Retail; Amazon business partners", "domainKnowledge" : "Digital media; AdTech; Advertising; Digital advertising; Advertising measurement; Marketing mix modeling; Attribution frameworks; Statistical techniques; Machine learning", "domainList" : [ "digital-media", "adtech", "advertising", "digital-advertising", "advertising-measurement", "marketing-mix-modeling", "attribution-frameworks", "statistical-techniques", "machine-learning" ], "domainSpecificKnowledge" : [ "Digital media", "AdTech", "Advertising", "Digital advertising", "Advertising measurement", "Marketing mix modeling", "Attribution frameworks", "Statistical techniques", "Machine learning" ], "toolProficiency" : [ "SQL", "Python", "R", "SAS" ], "communicationSkills" : "Presentation skills; Storytelling; Executive presentations", "problemSolvingSkills" : "Solve complex problems; Translate analytical concepts", "outcomesObjectives" : "Deliver best return on investment", "qualificationsBasic" : "Bachelor's degree, 7+ years client-facing data analysis, 5+ years digital media/AdTech, Translate technical analyses, Data-driven storytelling, Presentation skills, Advertising measurement methodologies, Marketing mix modeling, Attribution frameworks, Advanced statistical techniques, Regression analysis, Segmentation, Machine learning, Proficiency in SQL, Analytical tools fluency", "qualificationsPreferred" : "Advanced degree (MBA, Master's), Digital media planning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of advertising solutions. We partner with advertisers to reach Amazon customers across our owned and operated sites like Prime Video and Twitch, and on other high-quality sites across the web, and on devices. We are currently looking for a highly skilled and motivated Insights and Measurement Lead to help scale our growing advertising business. The Insights and Measurement Lead is a key member of the sales organization at Amazon Ads, taking a consultative approach, building deep relationships with advertisers, sales, account management, retail, and other Amazon business partners to analyze and measure the success of advertisers' performance on Amazon. Key job responsibilities • Leverage Amazon's proprietary data, third-party research, and Ad measurement solutions to generate actionable insights for C-suite marketing leaders. • Own senior-level measurement and insights customer relationships and partner across strategic learning objectives that influence business decision-making • Present findings consultatively, collaborating with internal teams to deliver comprehensive solutions. • Navigate ambiguity, solve complex problems, and translate analytical concepts into actionable recommendations. • Collaborate cross-functionally to influence sales and marketing initiatives across multiple business functions and geographies. • Educate stakeholders on Amazon's insights and measurement offerings through learning sessions, documentation, and whitepapers. • Advocate for data-driven decision-making, driving thought leadership and encouraging advertisers to act on recommendations. A day in the life On a daily basis, Insights and Measurement Lead activities include analyzing and measuring metrics of success for an advertiser business or category, developing data-driven insights and recommendations for executive client leadership, and communicating recommendations in a clear and compelling fashion. The strategic and consultative digital advertising expertise of the Insights and Measurement Lead is critical to delivering the best return on investment for our customers. About the team The Analytics & Insights (A&I) organization leverages Amazon's data to develop actionable insights for advertisers. By providing insights and measurement solutions, A&I enhances marketers' decision-making processes, measurably improving their success on and off Amazon. Basic Qualifications: - Bachelor's degree with 7+ years of experience in client-facing data analysis roles, including 5+ years in digital media/AdTech consulting or advertising with a top agency or brand. - Expertise in translating technical analyses into actionable insights for diverse stakeholders, with excellent data-driven storytelling and presentation skills. - Demonstrated proficiency in advertising measurement methodologies, marketing mix modeling, and attribution frameworks. - Strong understanding of advanced statistical techniques, including regression analysis, segmentation and machine learning. - Proficiency in SQL for complex data manipulation and metric creation, along with fluency in analytical tools (Python, R, SAS, etc.). - Please apply with resume in English Preferred Qualifications: - Advanced degree (MBA, Master's) in Economics, Marketing, Statistics, Advertising, or Business; or equivalent Digital media planning experience. - Experience with advertising publishers, marketing/creative agencies, and campaign management. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Insights and Measurement Lead at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Insights generation, Measurement strategy, Client relationships. Leverage data for insights. Generate actionable insights", "postedDate" : "2026-06-13T07:15:18.470", "createdAt" : "2026-06-13T07:15:18.470", "lastUpdated" : "2026-06-15T01:15:38.899", "ingestTimestamp" : "2026-06-13T07:15:18.470", "mongoId" : "68c2e42bf8b1b0376634c6c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076330/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric creation", "Statistical techniques", "Regression analysis", "Segmentation", "Machine learning", "Marketing mix modeling", "Attribution frameworks", "Advertising measurement", "Consultative approach", "Navigate ambiguity", "Solve complex problems", "Thought leadership", "Insights generation", "Measurement strategy", "Client relationships", "Sales", "Account management", "Retail", "Business partners", "Measurement solutions", "Advertising solutions", "Digital advertising", "Return on investment", "Digital media", "AdTech", "Advertising", "SQL", "Python", "R", "SAS" ], "skillCount" : 31, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 678.1413, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising" }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. Skills: Statistical modeling, Data analysis. Analyze experimental data. Develop statistical models", "postedDate" : "2026-06-15T23:23:00.223", "createdAt" : "2026-06-15T23:23:00.223", "lastUpdated" : "2026-06-16T08:31:17.425", "ingestTimestamp" : "2026-06-15T23:23:00.223", "mongoId" : "6a305b67f292fd229cf5d4fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 190000, "salaryAnnualMax" : 240000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical modeling", "Experimental design", "Data analysis", "Statistical analysis", "Data visualization", "Biotechnology", "Drug discovery", "JMP", "Spotfire", "R", "Python", "SQL" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 671.8649, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69e1043e2beec4dd3def228c", "title" : "Sr. Financial Analyst", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 73600.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-15T01:03:04.257", "fingerprint" : "217c83ed0bfc31fcded03887c67a3332db810ae332afdee785fef04928884978", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386137/apply", "externalId" : "c958691f-cbf4-4d38-9f7a-6abeda5eb8d7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, MS Access, Essbase, Cognos, Oracle, SAP, Lawson, JD Edwards", "professionalSkills" : [ "Financial analysis", "Process improvement", "Automation" ], "hardSkillsList" : [ "Financial performance indicators", "Process automation", "Data analysis" ], "hardSkills" : [ { "name" : "Financial performance indicators", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Process automation, Data insights", "majorSkillsList" : [ "Financial analysis", "Process automation", "Data insights" ], "coreResponsibilities" : "Partner closely with business on strategic initiatives, Size opportunity of new product launches, Analyze supply, demand, and auction bidding data, Provide tangible insights influencing decision making, Establish new performance metrics, Track and communicate business health, Drive deep dives into business, Write strategy documents, Participate in quarterly guidance, Lead parts of quarterly guidance, Participate in yearly operational plans, Lead yearly operational plans, Revenue forecasting", "teamCollaboration" : "Work with product team; Work with sales team; Work with finance members", "domainKnowledge" : "Ad Tech; AI-powered solutions; Digital advertising", "domainList" : [ "ad-tech", "ai-powered-solutions", "digital-advertising" ], "domainSpecificKnowledge" : [ "Ad Tech", "AI-powered solutions", "Digital advertising" ], "toolProficiency" : [ "Tableau", "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "communicationSkills" : "Write strategy documents", "documentationSkills" : "Write strategy documents", "problemSolvingSkills" : "Data analysis; Identify opportunities", "qualificationsBasic" : "3+ years tax, finance or analytical field experience, 3+ years applying financial KPIs to analyses, 3+ years creating process improvements with automation, 3+ years identifying, leading, executing opportunities to improve, automate, standardize or simplify finance or business tools and processes, Bachelor's degree in engineering, statistics or business, Bachelor's degree and 3+ years quantitative role experience", "qualificationsPreferred" : "4+ years participating in continuous improvement projects, MBA or CPA, Knowledge of Tableau", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Over $500 billion is spent each year on digital advertising worldwide, all while the industry experiences foundational changes in terms of media advertisers want to buy, how potential customers spend time online, and an ever evolving privacy landscape. Amazon Advertising Finance is looking for a Finance Manager to join one of the fastest growing divisions within Amazon and support our Ad Tech team on building AI-powered solutions for our Small and Medium sized advertisers. This role will work hand in hand with the product team, sales team, and other finance members to evaluate new partnerships, size the potential opportunity of new product launches, set goals/targets, analyze petabytes worth of data, make suggestions based on analysis, and write strategy documents. Key job responsibilities Partner closely with the business on strategic initiatives and to size the opportunity (customers, ad spend, etc.) of new product launches Analyze rich supply, demand, and auction/bidding, data in order to provide tangible insights that influence real-time decision making Establish new performance metrics to track and communicate business health and drive insightful deep dives into our business Write 1-6 page strategy documents Participate in and lead parts of the quarterly guidance and yearly operational plans, including revenue forecasting Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - 3+ years of applying key financial performance indicators (KPIs) to analyses experience - 3+ years of creating process improvements with automation and analysis experience - 3+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience - Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Knowledge of Tableau - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 73,600.00 - 128,800.00 USD annually", "summaryDescription" : "Sr. Financial Analyst at Amazon.com Services LLC. Skills: Financial analysis, Process automation, Data insights. Partner closely with business on strategic initiatives. Size opportunity of new product launches", "postedDate" : "2026-06-13T01:41:26.425", "createdAt" : "2026-06-13T01:41:26.425", "lastUpdated" : "2026-06-15T01:03:04.257", "ingestTimestamp" : "2026-06-13T01:41:26.425", "mongoId" : "69e1043e2beec4dd3def228c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386137/apply", "salaryAnnualMin" : 73600, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial performance indicators", "Process automation", "Data analysis", "Financial analysis", "Data insights", "Process improvement", "Automation", "Ad Tech", "AI-powered solutions", "Digital advertising", "CPA", "Tableau", "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "skillCount" : 20, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 670.5856, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a305119f292fd229cef9cda", "title" : "Manager, Market Insights", "industry" : "Analyst", "salary" : { "min" : 116000.0, "max" : 151000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:45:38.605", "fingerprint" : "d66f1971169ac564a69c18fbdb30288bf744ae50764e73f4ee6cd93e74d98a62", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e/apply", "externalId" : "fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Market research", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management" ], "hardSkillsList" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification" ], "hardSkills" : [ { "name" : "Message testing", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Brand performance tracking", "level" : "intermediate" }, { "name" : "Vendor selection", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" } ], "majorSkills" : "Market research, Data analysis, Insight generation", "majorSkillsList" : [ "Market research", "Data analysis", "Insight generation" ], "coreResponsibilities" : "Design primary market research initiatives, Lead primary market research initiatives, Manage end-to-end research projects, Select vendors, Oversee execution, Manage timelines, Manage budgets, Communicate progress to leadership, Leverage secondary data sources, Identify market trends, Support business decision-making, Integrate primary research findings, Generate actionable insights, Generate strategic recommendations, Collaborate with cross-functional stakeholders, Define research priorities, Address ad hoc analytical needs, Evaluate new research methodologies, Introduce new research methodologies, Enhance insight generation, Enhance analytical capabilities, Contribute to annual planning, Contribute to budget allocation, Ensure effective resource management", "teamCollaboration" : "Cross-functional stakeholders; Marketing; Sales; Market Access; Insights teams", "projectManagementSkills" : [ "Vendor management", "Timeline management", "Budget management" ], "domainKnowledge" : "Biopharmaceutical environments; Biotechnology environments; Healthcare data sources; Claims data; Promotional data; Prescription data", "domainList" : [ "biopharmaceutical-environments", "biotechnology-environments", "healthcare-data-sources", "claims-data", "promotional-data", "prescription-data" ], "domainSpecificKnowledge" : [ "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data" ], "toolProficiency" : [ "Excel", "PowerPoint", "Word" ], "communicationSkills" : "Storytelling; Presentations", "continuousLearning" : "Introduce new research methodologies; Introduce new tools; Introduce new approaches", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Data synthesis", "specialRequirements" : "Travel up to 20% domestically", "outcomesObjectives" : "Generate actionable insights; Generate strategic recommendations", "qualificationsBasic" : "Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related equivalent experience, 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments, Expertise in qualitative and quantitative research methodologies, Experience working with secondary healthcare data sources, Analytical and problem-solving skills, Excellent communication and storytelling skills, Proven ability to manage multiple projects, vendors, timelines, and budgets, Advanced proficiency in Excel, PowerPoint, and Word, Collaboration and stakeholder management skills", "qualificationsPreferred" : "Best practices for generating actionable insights, Ability to synthesize multiple data streams into clear business recommendations, Ability to translate complex findings into clear presentations for senior stakeholders, Attention to detail and organizational skills, Ability to influence across cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and lead primary market research initiatives such as message testing, customer journey analysis, brand performance tracking, and sales force effectiveness studies, ensuring appropriate methodologies are applied to key business questions. Manage end-to-end research projects including vendor selection, execution oversight, timeline and budget management, and regular communication of progress to leadership. Leverage secondary data sources such as claims, promotional data, and internal prescription data to identify market trends and support business decision-making. Integrate primary research findings with secondary data and competitive intelligence to generate actionable insights and strategic recommendations. Collaborate with cross-functional stakeholders across Marketing, Sales, Market Access, and Insights teams to define research priorities and address ad hoc analytical needs. Continuously evaluate and introduce new research methodologies, tools, and approaches to enhance insight generation and analytical capabilities. Contribute to annual planning and budget allocation for insights initiatives, ensuring effective resource management. Requirements: Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related field; equivalent experience may be considered. 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments. Strong expertise in qualitative and quantitative research methodologies and best practices for generating actionable insights. Experience working with secondary healthcare data sources, including claims, promotional, and prescription data. Strong analytical and problem-solving skills with the ability to synthesize multiple data streams into clear business recommendations. Excellent communication and storytelling skills, with the ability to translate complex findings into clear presentations for senior stakeholders. Proven ability to manage multiple projects, vendors, timelines, and budgets in a fast-paced environment. Advanced proficiency in Excel, PowerPoint, and Word, with strong attention to detail and organizational skills. Strong collaboration and stakeholder management skills, with the ability to influence across cross-functional teams. Ability to travel up to 20% domestically for meetings and company events. Benefits: Competitive base salary range of $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health coverage including medical, dental, vision, disability, and life insurance for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off, holidays, and work-life balance programs. Access to wellness programs and employee assistance resources. Opportunity to work in a mission-driven environment focused on rare disease innovation and patient impact. Exposure to high-impact strategic projects with strong cross-functional visibility and leadership engagement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Manager, Market Insights. Skills: Market research, Data analysis, Insight generation. Design primary market research initiatives. Lead primary market research initiatives", "postedDate" : "2026-06-15T10:10:06.604", "createdAt" : "2026-06-15T10:10:06.604", "lastUpdated" : "2026-06-16T13:45:38.605", "ingestTimestamp" : "2026-06-16T03:23:38.625", "mongoId" : "6a305119f292fd229cef9cda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification", "Market research", "Data analysis", "Insight generation", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management", "Vendor management", "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data", "Excel", "PowerPoint", "Word" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 648.8746, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305117f292fd229cef9692", "title" : "Brand Insights Manager", "industry" : "Analyst", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Brand Insights Manager in Bulgaria, adjusted for mid-seniority and full-time employment." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:24:26.000", "fingerprint" : "98adda4b3ade60bc30f28596f41c6db91ad433fa663dd199c403f8914931cf4f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/dbb19793-6b0d-4baa-91dc-735a64b40380/apply", "externalId" : "dbb19793-6b0d-4baa-91dc-735a64b40380", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel", "professionalSkills" : [ "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy" ], "hardSkillsList" : [ "Quantitative analysis", "Qualitative understanding" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative understanding", "level" : "intermediate" } ], "majorSkills" : "Client presentations, Data storytelling, Client relationship management", "majorSkillsList" : [ "Client presentations", "Data storytelling", "Client relationship management" ], "coreResponsibilities" : "Own and manage a portfolio of client accounts, Ensure engagement, satisfaction, and long-term retention, Conduct regular reviews, Proactive communication with clients, Translate client goals into measurement frameworks, Translate client goals into reporting structures, Translate client goals into actionable insights, Deliver timely, high-quality reports, Deliver performance analyses, Highlight brand impact, Highlight trends, Highlight opportunities for optimization, Act as a trusted advisor to clients, Present insights and recommendations, Shape strategic marketing decisions, Shape communication decisions, Identify upsell opportunities, Identify cross-sell opportunities, Collaborate with sales teams, Support growth initiatives, Support renewals, Maintain accurate client records, Maintain reporting, Maintain documentation within CRM systems, Track account health, Track account risks, Collaborate with internal teams, Share customer feedback, Support product improvements, Contribute to new KPI development, Analyze qualitative data, Analyze quantitative data, Uncover trends, Uncover patterns, Uncover performance drivers", "teamCollaboration" : "Collaborate with sales teams; Collaborate with internal teams", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Brand performance; Marketing strategy; Data interpretation", "domainList" : [ "brand-performance", "marketing-strategy", "data-interpretation" ], "domainSpecificKnowledge" : [ "Brand performance", "Marketing strategy", "Data interpretation" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "Client presentations; Storytelling", "documentationSkills" : "Reporting; Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "qualificationsBasic" : "5+ years of experience in data analytics, 5+ years of experience in customer insights, 5+ years of experience in consulting, 5+ years of experience in data-driven client-facing role, Proficiency in Excel, Experience transforming data into clear, compelling insights and narratives, Proven ability to lead client presentations, Communicate complex findings through storytelling, Relationship-building skills, Stakeholder management skills, Ability to influence clients effectively, Ability to advise clients effectively, Experience managing multiple projects simultaneously, Comfortable working in a consultative, client-facing role, Ability to combine quantitative analysis with qualitative understanding, Deliver actionable recommendations", "qualificationsPreferred" : "Experience in a similar data-driven client-facing role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and manage a portfolio of client accounts, ensuring strong engagement, satisfaction, and long-term retention through regular reviews and proactive communication. Translate client marketing and communication goals into clear measurement frameworks, reporting structures, and actionable insights. Deliver timely, high-quality reports and performance analyses that highlight brand impact, trends, and opportunities for optimization. Act as a trusted advisor to clients, presenting insights and recommendations that shape strategic marketing and communication decisions. Identify upsell and cross-sell opportunities and collaborate with sales teams to support growth initiatives and renewals. Maintain accurate client records, reporting, and documentation within CRM systems while tracking account health and risks. Collaborate with internal teams to share customer feedback, support product improvements, and contribute to new KPI development. Analyze qualitative and quantitative data to uncover trends, patterns, and performance drivers across brand portfolios. Requirements: 5+ years of experience in data analytics, customer insights, consulting, or a similar data-driven client-facing role. Strong analytical skills with proficiency in Excel and experience transforming data into clear, compelling insights and narratives. Proven ability to lead client presentations and communicate complex findings through storytelling at multiple organizational levels. Strong relationship-building and stakeholder management skills, with the ability to influence and advise clients effectively. Experience managing multiple projects simultaneously in fast-paced and evolving environments. Strong curiosity and interest in brand performance, marketing strategy, and data interpretation. Ability to combine quantitative analysis with qualitative understanding to deliver actionable recommendations. Comfortable working in a consultative, client-facing role that blends analysis, strategy, and communication. Benefits: Competitive salary with performance-based compensation (varies by location and experience). Flexible remote work arrangements, with opportunities to collaborate internationally. Comprehensive health, dental, and vision insurance (based on location). Paid time off and holidays to support work-life balance. Learning and development support to encourage continuous growth and skill-building. Exposure to leading global brands in fashion, lifestyle, and beauty industries. Collaborative, people-first culture focused on autonomy, impact, and professional development. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Brand Insights Manager. Skills: Client presentations, Data storytelling, Client relationship management. Own and manage a portfolio of client accounts. Ensure engagement, satisfaction, and long-term retention", "postedDate" : "2026-06-15T15:48:25.672", "createdAt" : "2026-06-15T15:48:25.672", "lastUpdated" : "2026-06-16T11:24:26.000", "ingestTimestamp" : "2026-06-16T03:20:42.612", "mongoId" : "6a305117f292fd229cef9692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative understanding", "Client presentations", "Data storytelling", "Client relationship management", "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy", "Managing multiple projects", "CRM systems" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 648.67456, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "6a305714f292fd229cf339cf", "title" : "Senior Social Insights Analyst", "company" : "OLIVER Agency", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Italy, adjusted for the marketing industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.837", "fingerprint" : "ba25bf02c7f6a340852a3af129f29473271ba0bfe3bd3f320ac26809ea891158", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007126", "externalId" : "8007126", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Italy (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER Agency. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:17:46.048", "createdAt" : "2026-06-15T23:17:46.048", "lastUpdated" : "2026-06-16T08:41:03.837", "ingestTimestamp" : "2026-06-15T23:17:46.048", "mongoId" : "6a305714f292fd229cf339cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 642.955, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 641.25134, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.", "summaryDescription" : "Analytics Manager, Partner Insights at Rula. Skills: Data analytics, Reporting systems, Partner insights. Design reporting systems. Present insights to stakeholders", "createdAt" : "2026-06-14T09:31:37.505", "lastUpdated" : "2026-06-15T14:13:36.599", "ingestTimestamp" : "2026-06-14T09:31:37.505", "mongoId" : "6a2c9ff674d8ee00a09a0efe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 157250, "salaryAnnualMax" : 175750, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data visualization", "Automation", "Data analytics", "Reporting systems", "Partner insights", "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support", "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates", "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 639.17975, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a486d74d8ee00a05df69e", "title" : "Senior Data Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Engineer in the US Technology industry, adjusted for remote work and seniority." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-13T09:20:55.282", "fingerprint" : "7cb2871c58c3bc83e19ad6f10e80025ca9ab0f681535df22e2e9322f47b0bf42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702183005", "externalId" : "4702183005", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Snowflake, Terraform, Docker, Airflow, dbt, Fivetran, LLMs", "professionalSkills" : [ "Data warehousing", "Agile software development", "Data governance", "Data quality", "Data classification", "Data security", "System design" ], "hardSkillsList" : [ "ETL development", "Reverse ETL", "API integration", "Schema drift management", "Data ingestion", "Data quality checks", "PII management", "Automated data classification", "Masking policies", "Row-level security", "Column-level security", "Monitoring solutions" ], "softSkillsList" : [ "Leadership", "Mentorship" ], "hardSkills" : [ { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Reverse ETL", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Schema drift management", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "PII management", "level" : "intermediate" }, { "name" : "Automated data classification", "level" : "intermediate" }, { "name" : "Masking policies", "level" : "intermediate" }, { "name" : "Row-level security", "level" : "intermediate" }, { "name" : "Column-level security", "level" : "intermediate" }, { "name" : "Monitoring solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentorship" } ], "majorSkills" : "Data engineering, Cloud infrastructure, Data platform architecture", "majorSkillsList" : [ "Data engineering", "Cloud infrastructure", "Data platform architecture" ], "coreResponsibilities" : "Own solution development lifecycle, Build Proof of Concepts, Build Minimum Viable Products, Iterate production solutions, Stand up data delivery solutions, Optimize data delivery solutions, Build data pipelines, Manage data pipelines, Scale data pipelines, Develop integration patterns, Develop custom data pipelines, Interface with APIs, Architect data solutions, Maintain data solutions, Maintain cloud infrastructure, Evolve custom data lake, Manage Fivetran operations, Manage custom pipeline operations, Handle schema drift, Implement data quality checks, Spearhead AI adoption, Automate Pull Requests, Enforce 'definition of done', Accelerate CI/CD, Accelerate test coverage, Accelerate release management, Integrate AI capabilities, Interface with LLMs, Develop intelligent assistants, Develop intelligent agents, Drive proof-of-concepts, Implement PII management, Apply masking policies, Enforce row-level security, Enforce column-level security, Develop monitoring solutions, Deploy governance strategies, Lead data projects, Gather requirements, Conduct UAT, Deploy to production, Champion best practices, Reduce technical debt, Write documentation, Provide technical mentorship, Provide soft-skill mentorship", "teamCollaboration" : "Internal partners; External partners; Business teams; Analytics teams; Engineering teams; Cross-departmental projects", "projectManagementSkills" : [ "Agile", "Project leadership", "Multitasking" ], "domainKnowledge" : "Data lifecycle; Data warehousing; Cloud infrastructure; Data lake; Data governance; Data security; AI development practices; LLM integration", "domainList" : [ "data-lifecycle", "data-warehousing", "cloud-infrastructure", "data-lake", "data-governance", "data-security", "ai-development-practices", "llm-integration" ], "domainSpecificKnowledge" : [ "Data lifecycle", "Data warehousing", "Cloud infrastructure", "Data lake", "Data governance", "Data security", "AI development practices", "LLM integration" ], "toolProficiency" : [ "Airflow", "Fivetran", "Terraform", "Docker", "Snowflake", "dbt" ], "communicationSkills" : "Translate technical architectures", "documentationSkills" : "Write documentation", "continuousLearning" : "Appfire University", "innovationCreativity" : "Introduce modern practices; Continuous innovation; Proof-of-concepts", "problemSolvingSkills" : "Solve complex data puzzles; Resolve edge cases", "outcomesObjectives" : "Ensure stability and performance; Empower company-wide decision-making; Ensure accurate data ingestion; Ensure secure data availability", "qualificationsBasic" : "5+ years data engineering role, 5+ years building data products, 5+ years advanced SQL, 5+ years complex ETL/ELT, 5+ years advanced Python, 5+ years AWS cloud environments, 5+ years Terraform, 5+ years Docker, 3+ years dbt", "qualificationsPreferred" : "Kubernetes experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Data is the fuel behind Appfire's global footprint. We’ve grown fast, and now our focus has shifted toward building the most mature, high-performing data platform in our industry. We are looking for a Senior Data Engineer to take ownership of our core infrastructure, champion engineering excellence, and help shape the future of our data ecosystem. Leveraging your expert Python, SQL, and cloud infrastructure skills, you will develop pragmatic architectures that ensure stability and performance across the organization. As a key member of our central data insights team, you will evolve our custom data lake (\"firelake\" built on AWS and Snowflake). To accelerate our platform optimization efforts, you will ruthlessly eliminate technical debt, resolve edge cases, and introduce modern, AI-driven development practices. This isn't just about maintaining pipelines; it's about architecting a highly secure, resilient, and scalable foundation that empowers company-wide decision-making. If you love solving complex data puzzles, driving overarching data strategy, and seeing the direct impact of your work across an entire organization, let's talk. What you’ll do: Data Delivery Solution Lifecycle Ownership: Own the complete solution development lifecycle, from driving initial requirements to building Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and continuously iterating to improve and scale production solutions. Data Delivery & Pipelines: Work closely with internal and external partners to stand up and optimize robust data delivery solutions. Build, manage, and scale complex data pipelines (ETL and reverse ETL) utilizing expert-level Python and Airflow. Custom Integrations: Develop standard integration patterns as well as custom data pipelines that interface with atypical APIs to efficiently extend our data delivery capabilities. Data Platform & Infrastructure Pragmatic Architecture: Architect and maintain highly efficient, cost-effective scalable data solutions and cloud infrastructure from scratch. Platform Evolution: Be the key driver in the evolution of our custom data lake (\"firelake\" built on AWS/Snowflake), serving as the ultimate subject matter expert on our tech stack and data infrastructure. Ingestion & Data Quality: Manage Fivetran and custom pipeline operations, proactively handle schema drift, and implement rigorous data quality checks to ensure we have ingested a true and accurate representation of all source systems. AI & Modern Engineering AI-Driven Efficiencies: Spearhead AI adoption in our daily engineering workflows to automate Pull Requests, enforce new \"definition of done\" standards, and accelerate CI/CD, test coverage, and release management. AI Implementation: Drive the integration of AI capabilities directly into our data solutions by interfacing with LLMs and developing intelligent assistants and agents to solve complex business problems. Continuous Innovation: Stay on the forefront of the rapidly evolving data landscape and drive proof-of-concepts for new tools to ensure we leverage best-in-class technologies to scale quickly. Data Governance & Security PII & Security Management: Implement advanced PII management by leveraging automated data classification techniques, applying masking policies, and enforcing sophisticated row-level and column-level security practices. Proactive Governance: Develop and deploy robust monitoring solutions and governance strategies to ensure accurate, secure data is available on time and to the correct audience. Leadership & Collaboration End-to-End Ownership: Autonomously lead 3-5 concurrent cross-departmental data projects, driving everything from requirements gathering and UAT to production deployment. Strategic Communication: Partner seamlessly with business, analytics, and engineering teams, translating complex technical architectures into relatable concepts to influence stakeholders and align goals. Engineering Excellence & Mentorship: Champion best practices, systematically reduce technical debt, write clear documentation, and provide both technical and soft-skill mentorship to junior team members. What you'll need: Engineering Background: 5+ years in a data or software engineering role with a deep understanding of the full data lifecycle, modern data warehousing, and agile software development best practices. Proven Delivery: 5+ years of experience autonomously building scalable data products, pipelines, and solutions that support company-wide systems and overarching business goals. Project Leadership: Exceptional personal organization and multitasking skills, with the ability to work with minimal supervision while driving 3-5 concurrent cross-departmental projects. Technical Expertise Data Warehousing & SQL: 5+ years of advanced SQL optimization and complex ETL/ELT pipeline development, with extensive, hands-on experience in Snowflake. Advanced Python & Development: 5+ years of advanced Python programming. Cloud Infrastructure & IaC: 5+ years of experience designing and maintaining AWS cloud environments. Strong, hands-on proficiency with Terraform and Docker is required. Orchestration & Ingestion: Deep operational experience with Airflow for orchestration, dbt (3+ years) for transformation, and familiarity with managing Fivetran pipelines. Architecture & Practices Pragmatic Architecture: Proven ability to design pragmatic, cost-effective architectures from scratch that prioritize security, scalability, and high performance without over-engineering. Engineering Excellence: Incredibly strong troubleshooting skills with a ruthless dedication to reducing technical debt, optimizing CI/CD pipelines, and enforcing strict version control and testing standards. Data Governance: Solid understanding of modern data governance principles, including automated data classification, PII masking, and row/column-level access controls. Communication & Leadership Strategic Communication: Strong written and verbal skills, with a proven ability to translate and simplify complex technical architectures to both engineering peers and non-technical business stakeholders. Mentorship: A team-oriented mindset with a passion for coaching and providing constructive feedback to junior team members. Bonus Points (Standout Qualifications) MLOps Strategy: Experience in or foundational knowledge of MLOps. You can provide recommendations and establish best practices to guide our strategic expansion into this space. Applied AI: Experience interfacing with LLMs, creating AI agents, or leveraging AI tools to accelerate daily engineering workflows (e.g., automating code reviews, CI/CD enhancements). What we offer: Equity: every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off: we believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits: Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development: grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering: giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits: Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best: this role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Engineer - Data Insights at Appfire. Skills: Data engineering, Cloud infrastructure, Data platform architecture. Own solution development lifecycle. Build Proof of Concepts", "postedDate" : "2026-06-11T17:31:52.348", "createdAt" : "2026-06-11T17:31:52.348", "lastUpdated" : "2026-06-13T09:20:55.282", "ingestTimestamp" : "2026-06-11T17:31:52.348", "mongoId" : "6a2a486d74d8ee00a05df69e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "ETL development", "Reverse ETL", "API integration", "Schema drift management", "Data ingestion", "Data quality checks", "PII management", "Automated data classification", "Masking policies", "Row-level security", "Column-level security", "Monitoring solutions", "Leadership", "Mentorship", "Data engineering", "Cloud infrastructure", "Data platform architecture", "Data warehousing", "Agile software development", "Data governance", "Data quality", "Data classification", "Data security", "System design", "Agile", "Project leadership", "Multitasking", "Data lifecycle", "Data lake", "AI development practices", "LLM integration", "Airflow", "Fivetran", "Terraform", "Docker", "Snowflake", "dbt" ], "skillCount" : 37, "jobCategory" : "other", "jobSubcategory" : "data-insights", "dataQualityScore" : 0.8888889, "_score" : 637.8833, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c5ed674d8ee00a08e7367", "title" : "Business Insights Analyst II", "company" : "AvidXchange, Inc.", "industry" : "Technology", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Insights Analyst II in Charlotte, United States, adjusted for mid-seniority and the FinTech industry." }, "location" : "Charlotte, North Carolina, United States", "locations" : [ "Charlotte", "North Carolina", "United States" ], "timestamp" : "2026-06-15T00:14:31.404", "fingerprint" : "0663124f2c40d5d9914310d88cd5547995c3614668ec7afbead4f36f46b9fcf6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/avidxchangeinc/jobs/5144601007", "externalId" : "5144601007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charlotte", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.2272086,-80.8430827" } ], "locationText" : "Charlotte, North Carolina, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Power BI", "professionalSkills" : [ "Enterprise analysis", "Reporting", "Data-driven strategy", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Reporting automation", "Trend monitoring", "Performance forecasting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting automation", "level" : "intermediate" }, { "name" : "Trend monitoring", "level" : "intermediate" }, { "name" : "Performance forecasting", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, Business intelligence", "majorSkillsList" : [ "Data analysis", "Reporting", "Business intelligence" ], "coreResponsibilities" : "Generate actionable insights, Provide recommendations, Drive cross-functional initiatives, Identify opportunities, Implement solutions, Hold partners accountable to use data, Communicate complex data simply, Build automated reporting, Maintain automated dashboards, Monitor trends, Forecast performance, Identify key opportunities for improvement", "teamCollaboration" : "Partner with stakeholders; Work with business leaders", "domainKnowledge" : "Accounts payable automation", "domainList" : [ "accounts-payable-automation" ], "domainSpecificKnowledge" : [ "Accounts payable automation" ], "toolProficiency" : [ "Microsoft Excel", "SQL", "Power BI", "PowerPoint" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Problem-solving skills; Intellectual curiosity", "outcomesObjectives" : "Improve processes; Improve bottom line", "qualificationsBasic" : "Bachelor's degree in an analytical discipline, 3+ years of experience in a highly analytical environment, SQL proficiency, Microsoft Excel experience, PowerPoint experience", "qualificationsPreferred" : "Python experience, Executive presence", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the role: We are looking for a level II Enterprise Data Analyst to drive key enterprise analyses and reporting. You will partner with stakeholders across the business to build a data-driven culture by delivering key insights, strategies, and recommendations that improve AvidXchange’s processes and bottom line. What You’ll Do: Generate actionable insights and recommendations for operational and financial partnersDive cross-functional initiatives from an analytical and subject matter expert perspective, identifying the largest opportunities and implementing the right solutions in partnership with senior leaders Hold partners accountable to use data and make sure it is ingrained in their operational rhythm Communicate complex data and processes in a simple manner to senior audiences Build and maintain automated reporting/dashboards for internal stakeholders to monitor trends and forecast performance for key metrics Work with business leaders to identify key opportunities for improvement through reporting and process What We’re Looking For: Bachelor’s degree in an analytical discipline Experience with Microsoft Excel, SQL, Power BI (or similar), and Power Point 3+ years of experience in a highly analytical environment Executive presence and ability to influence strategic outcomes Strong problem-solving skills and intellectual curiosity Experience with Python About AvidXchange AvidXchange is a leading provider of accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers. By trade, we are a technology company, but if you ask anyone who works here, they’ll tell you our people are at the core of who we are. At AvidXchange, mindset is everything. We are Connected as People, Growth Minded, and Customer Obsessed. These three mindsets represent our culture – who we are, who we’ve always been, and they guide us to improve every day. Since our founding in 2000 in Charlotte, NC, we’ve created a company of over 1,500 teammates working across the U.S., or remotely. AvidXchange is proud to be Certified™ as a Great Place to Work®. The prestigious recognition is based on anonymous data from our teammates and makes official what our teammates have known for years – that AvidXchange is a Great Place to Work®. Who you are: A go-getter with an entrepreneurial mindset – that means you are not afraid of taking risks, winning big or facing the unknown. Someone who understands that business is people centric. Connecting with others as humans first allows you to develop mutually beneficial working relationships. Focused on making a difference for our customers. AvidXchange exists to help solve complex problems for our customers so we can all realize our potential. What you’ll get: AvidXchange teammates (we call them AvidXers) get the perks and prestige of a growing tech company paired with the flexibility of a founder-led startup. We help our AvidXers develop as professionals and as human beings, providing work/life balance, development programs, and competitive benefits. At AvidXchange, we are building more than a tech company – we are building an experience. We remain committed to a culture where you can fully be 'you’ – connected with others, chasing big goals, and making a meaningful impact. If you want to help us grow while realizing your potential and creating stories you’ll tell for years, you’ve come to the right place. AvidXers enjoy: 18 days PTO* 11 Holidays (8 company recognized & 3 floating holidays) 16 hours per year of paid Volunteer Time Off (VTO) Competitive Healthcare High Deductible Heath Plan Option that has $0 monthly premium for teammate-only coverage 100% AvidXchange paid Dental Base Plan Coverage 100% AvidXchange paid Life Insurance 100% AvidXchange paid Long-Term Disability 100% AvidXchange paid Short-Term Disability Employee Assistance Program (EAP) - Provides counseling services, legal and financial consultations and health advocacy for Teammates and their eligible dependents Onsite Health Clinic with Atrium Health - available to Teammates and their eligible dependents 401(k) Match: 100% match on the first 3% of your salary, plus 50% match on the next 2% Parental Leave: 8 weeks 100% paid by AvidXchange** Discounts on Pet, Home, and Auto insurance WeeCare Childcare Service: helps teammates find affordable daycare, childcare, and tutors 40% less expensive than traditional daycare centers Perks at Work: free discount program that provides teammates the opportunity to save on items from electronics, movie tickets, car buying, vacations, and more Onsite gym fitness center, yoga studio, and basketball court Tuition Reimbursement up to the federal maximum of $5,250*** Hybrid Workplace Flexibility Free parking *Fully granted from beginning of year, pro-rated if hired mid-year **Must be full-time for at least 3 months ***Must be full-time for at least one year Equal Employment Opportunity AvidXchange is an equal opportunity employer. AvidXchange is committed to equal employment opportunity in accordance with applicable federal, state, and local laws. AvidXchange will not discriminate against applicants for employment on any legally recognized basis. This includes, but is not limited to veteran status, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age and physical or mental disability.", "summaryDescription" : "Business Insights Analyst II at AvidXchange, Inc.. Skills: Data analysis, Reporting, Business intelligence. Generate actionable insights. Provide recommendations", "postedDate" : "2026-06-12T22:09:54.117", "createdAt" : "2026-06-12T22:09:54.117", "lastUpdated" : "2026-06-15T00:14:31.404", "ingestTimestamp" : "2026-06-12T22:09:54.117", "mongoId" : "6a2c5ed674d8ee00a08e7367", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 78000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Reporting automation", "Trend monitoring", "Performance forecasting", "Reporting", "Business intelligence", "Enterprise analysis", "Data-driven strategy", "Process improvement", "Accounts payable automation", "Microsoft Excel", "SQL", "Power BI", "PowerPoint" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "data-&-analytics", "dataQualityScore" : 0.8888889, "_score" : 637.0993, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6bd274d8ee00a091502a", "title" : "Senior Financial Analyst", "company" : "Anduril Industries", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Financial Analyst in Waltham, United States, adjusted for the defense technology industry and company size." }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T12:19:11.987", "fingerprint" : "a2490122f6ea76371b8396a4e5fbdb1b8a76c175f8572ae5844a1396fad57e99", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5161362007?gh_jid=5161362007", "externalId" : "5161362007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Revenue recognition", "Margin analysis" ], "coreResponsibilities" : "Translate business activity into revenue, Translate business activity into COGS, Translate business activity into margin", "teamCollaboration" : "Program teams; Manufacturing teams; Supply chain teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril Industries is a defense technology company on a mission to transform U. S. and allied military capabilities. By applying the technology and business model of today’s most innovative companies to defense, we are changing how military systems are designed, built, and sold—powered by Lattice OS, our AI-driven operating system that turns thousands of data streams into a real-time, 3D command-and-control center. Our Imaging business line designs and builds advanced electro-optical and infrared (EO/IR) systems—cameras, sensors, and payloads—that power persistent surveillance, air defense, and precision targeting. Imaging has moved its flagship products into Low-Rate and Full-Rate Production (LRIP/FRP), building hundreds of units each year. This role partners with program, manufacturing, and supply chain teams to translate business activity into revenue, COGS, and margin on the P and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Senior Financial Analyst at Anduril Industries. Translate business activity into revenue. Translate business activity into COGS", "postedDate" : "2026-06-14T08:03:38.253", "createdAt" : "2026-06-14T08:03:38.253", "lastUpdated" : "2026-06-15T12:19:11.987", "ingestTimestamp" : "2026-06-14T08:03:38.253", "mongoId" : "6a2c6bd274d8ee00a091502a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Revenue recognition", "Margin analysis" ], "skillCount" : 2, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 632.3912, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0ea74d8ee00a09db7cf", "title" : "Senior Sales Insights Analyst", "company" : "Vertice", "industry" : "Business Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Sales Insights Analyst in New York, adjusted for the SaaS industry and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T05:23:02.241", "fingerprint" : "27e15da37e0e29ffb9d9c43dd6df268c976ee5cd8e18aed3befa5f8a16214c31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vertice/5c895fe9-3932-4aa1-a9c3-65d6a988755f/application", "externalId" : "5c895fe9-3932-4aa1-a9c3-65d6a988755f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Business analytics", "Process improvements", "Data analysis", "Financial impact analysis" ], "hardSkillsList" : [ "Data extraction", "Data analysis", "Dashboard design" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" } ], "majorSkills" : "Sales insights, Data analysis, Executive presentations", "majorSkillsList" : [ "Sales insights", "Data analysis", "Executive presentations" ], "coreResponsibilities" : "Partner with sales organization, Drive revenue growth, Demonstrate financial impact, Analyze prospect SaaS stacks, Identify cost-saving opportunities, Present opportunities to executives, Build dynamic dashboards, Build automations", "teamCollaboration" : "Work with Sales team; Cross-functional work", "domainKnowledge" : "SaaS stacks; Technology spend management", "domainList" : [ "saas-stacks", "technology-spend-management" ], "domainSpecificKnowledge" : [ "SaaS stacks", "Technology spend management" ], "toolProficiency" : [ "Internal tooling" ], "communicationSkills" : "Presenting insights; Presenting findings", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "2 days a week in office", "qualificationsBasic" : "2-4 years experience, Extracting and analyzing data, Presenting insights to others, Delivering results cross-functionally", "qualificationsPreferred" : "Experience in fast-paced environment, Translating complex data analysis, Presenting findings to executives, Python or SQL experience, Designing dashboards experience, Work ethic, Humility, kindness and respect", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we’re shaping the future of procurement on a global scale. And we’re just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025’s fastest-growing startup in the UK by the FT’s Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role: As a Commercial Analyst at Vertice, you will be a strategic partner to our Sales organization, driving revenue growth by demonstrating the financial impact of our platform to prospective clients. You will own the critical analysis of our prospects' SaaS stacks, identifying and presenting compelling cost-saving opportunities directly to C-level executives at a diverse range of companies, from high-growth startups to established enterprise brands. You'll be reporting to the US Analytics Manager, and working closely with the Sales team from sales acceptance through deal closing activities. You'll also have other data focused responsibilities to provide our teams with the information and insights they need to work effectively, using our internal tooling to build dynamic dashboards and automations. Requirements: - You'll have 2-4 years of experience in a challenging role in consulting, professional services or business analytics - You'll have strong experience extracting and analyzing data in a methodical manner and delivering process improvements to help teams work more efficiently - You'll be comfortable with moderately complex concepts, and be able to talk confidently when presenting insights to others, both internally and externally - You'll have demonstrable success in delivering results working cross-functionally with a flexible, agile, and adaptable approach; used to wearing multiple hats and you won't get easily overwhelmed - 2 days a week in our New York office Things we like to see: - Experience working in a fast-paced environment - Experience translating complex data analysis into clear, compelling narratives and presenting findings to executive-level audiences - Experience with Python or SQL with the ability and experience in designing dashboards - Strong work ethic with a \"get stuff done\" mentality - Humility, kindness and respect in working with others. We're hoping to create a supportive and caring culture of high performing people, and your attitude is just as important as your skillset - Individuals that are eager to start something new; to commit to an ambitious plan and co-create a memorable and meaningful company. Autonomy is a highly valued quality #LI-DNP Final things to note Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law. We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy. We like to deal directly with our candidates so no agencies please! If you aren’t sure this job applies to you, feel free to send your CV to careers@vertice.one, and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!", "summaryDescription" : "Senior Sales Insights Analyst at Vertice. Skills: Sales insights, Data analysis, Executive presentations. Partner with sales organization. Drive revenue growth", "createdAt" : "2026-06-14T04:45:13.228", "lastUpdated" : "2026-06-15T05:23:02.241", "ingestTimestamp" : "2026-06-14T04:45:13.228", "mongoId" : "6a2cb0ea74d8ee00a09db7cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data analysis", "Dashboard design", "Sales insights", "Executive presentations", "Business analytics", "Process improvements", "Financial impact analysis", "SaaS stacks", "Technology spend management", "Internal tooling" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 624.94946, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e412f8b1b0376634c226", "title" : "Senior Financial Analyst", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 60200.0, "max" : 128800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "certifications" : [ "CPA", "Six Sigma Black Belt" ], "timestamp" : "2026-06-15T04:43:10.112", "fingerprint" : "8c524697568514ae0aec5e99ed606989b5efdd6b3b9f906a8be6e451ce7889a9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3073596/apply", "externalId" : "fedbb4bf-b93b-4765-a4b6-c11a2de9e7ab", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, MS Access, Essbase, Cognos, Oracle, SAP, Lawson, JD Edwards", "professionalSkills" : [ "Financial modeling", "Analytical insights", "Business sense", "Strategy support" ], "hardSkillsList" : [ "Data mining", "Business intelligence", "Process improvements", "Automation" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Process improvements", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Financial modeling, Forecasting, Business insights", "majorSkillsList" : [ "Financial modeling", "Forecasting", "Business insights" ], "coreResponsibilities" : "Present financial insights, Present business insights, Build financial models, Build revenue forecasts, Build sales productivity models, Tighten internal controls, Provide strategic partnership, Analyze customer revenue trends, Analyze AWS service adoption, Analyze cost optimization", "teamCollaboration" : "Business leaders; Executives; Business units", "domainKnowledge" : "AWS service adoption; Cost optimization", "domainList" : [ "aws-service-adoption", "cost-optimization" ], "domainSpecificKnowledge" : [ "AWS service adoption", "Cost optimization" ], "toolProficiency" : [ "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "communicationSkills" : "Presenting to management", "continuousLearning" : "Develop new skills; Lateral moves; Geographical moves; Functional moves", "problemSolvingSkills" : "Analytical insights", "outcomesObjectives" : "Improve planning process; Improve forecasting process", "qualificationsBasic" : "3+ years tax experience, 3+ years finance experience, 3+ years analytical field experience, Bachelor's degree finance, Bachelor's degree accounting, Bachelor's degree business, Bachelor's degree economics, Bachelor's degree related analytical field, Bachelor's degree and 3+ years quantitative role experience", "qualificationsPreferred" : "4+ years continuous improvement projects experience, MBA, CPA, 4+ years applying KPIs to analyses experience, 4+ years creating process improvements experience, 4+ years identifying automation opportunities experience, Six Sigma Black Belt, Experience with advanced use of SQL", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) seeks a Senior Financial Analyst to be a key member in our AWS Industries Finance team. AWS Industries is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. As a Senior Financial Analyst, you will work closely with business leaders to develop financial models and analytical insights to assist in evaluating new business concepts, turning insights into operational measurements, and identifying paths to improve the overall planning and forecasting process. You will also provide strategy support to the business team. The successful candidate will have shown experiences in past roles influencing business owners and supporting strategic decision-making in a rapidly evolving environments. This role requires a self-starter with strong modeling skills, attention to detail, and an ability to manage multiple projects effectively. This role has regular interaction with executives and various business units across Amazon and therefore requires strong interpersonal and communication skills. As a business-facing finance partner, this role requires strong business sense and capability to independently drive partnership at all levels of the organization. Key job responsibilities • Present financial and business insights to senior management • Build financial models for revenue forecasting and sales productivity. • Tighten internal controls for travel and program spending • Provide strategic partnership to key business initiatives and investment • Analyze detailed customer revenue trends including AWS service adoption and cost optimization. LEARNING OPPORTUNITIES: • Autonomy to innovate and deliver new approaches that impact the top and the bottom line • Grow and collaborate across a wide network in a fast-paced environment • Being surrounded by inspiring and diverse talents across many different sectors and professional backgrounds • Ability to develop new skills and opportunities through lateral, geographical or functional moves Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - 4+ years of applying key financial performance indicators (KPIs) to analyses experience - 4+ years of creating process improvements with automation and analysis experience - 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience - Six Sigma Black Belt - Experience with advanced use of SQL for data mining and business intelligence - Experience as a lean sensei, or experience working as a Quality Assurance Engineer Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Financial Analyst at Amazon.com Services LLC. Skills: Financial modeling, Forecasting, Business insights. Present financial insights. Present business insights", "postedDate" : "2026-06-13T12:14:43.539", "createdAt" : "2026-06-13T12:14:43.539", "lastUpdated" : "2026-06-15T04:43:10.112", "ingestTimestamp" : "2026-06-13T12:14:43.539", "mongoId" : "68c2e412f8b1b0376634c226", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3073596/apply", "salaryAnnualMin" : 60200, "salaryAnnualMax" : 128800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data mining", "Business intelligence", "Process improvements", "Automation", "Financial modeling", "Forecasting", "Business insights", "Analytical insights", "Business sense", "Strategy support", "AWS service adoption", "Cost optimization", "CPA", "Six Sigma Black Belt", "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "skillCount" : 22, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 624.1767, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2c7c5874d8ee00a094d210", "title" : "Creator Growth & Insights Manager (gn)", "company" : "The Quality Group", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Manager in E-Commerce in Hamburg, Germany, adjusted for company size and industry." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T01:08:09.764", "fingerprint" : "2b536d50e23b0f61491039e687f19cb52f015907e460868004974faa08f6a476", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh2/jobs/4892006101", "externalId" : "4892006101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "experienceMinYears" : 4, "experienceMaxYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel", "professionalSkills" : [ "Analytical thinking", "Commercial thinking", "Data translation" ], "hardSkillsList" : [ "Performance analysis", "Creator growth analysis" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Creator growth analysis", "level" : "intermediate" } ], "majorSkills" : "Creator marketing, D2C strategy, Performance analysis", "majorSkillsList" : [ "Creator marketing", "D2C strategy", "Performance analysis" ], "coreResponsibilities" : "Translate D2C strategy into creator goals, Analyze creator performance, Identify underperforming markets, Identify under-utilized categories, Conduct reviews with Influencer Marketing Team, Hold sessions with top creators, Coordinate with international markets, Identify risks early, Flag risks, Act on risks, Build creator platform tools, Build creator platform frameworks, Build creator platform reportings", "teamCollaboration" : "Influencer Marketing Team; Top creators; International markets; Senior stakeholders", "domainKnowledge" : "Creator marketing; D2C strategy; Consumer goods; E-commerce", "domainList" : [ "creator-marketing", "d2c-strategy", "consumer-goods", "e-commerce" ], "domainSpecificKnowledge" : [ "Creator marketing", "D2C strategy", "Consumer goods", "E-commerce" ], "toolProficiency" : [ "Excel" ], "problemSolvingSkills" : "Data analysis; Performance analysis", "qualificationsBasic" : "4-6 years experience in Marketing, Strategy, Consulting or D2C, Excel proficiency, Fluent German and English", "qualificationsPreferred" : "Experience with consumer goods, e-commerce or creator marketing", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Influencer Marketing ist unser wichtigster Kanal. Behandeln wir ihn auch so. Bei ESN macht Influencer Marketing fast 50 % unseres D2C-Umsatzes aus. Das ist kein Awareness-Kanal unter vielen, sondern eine conversion-fokussierte Sales Engine. Das, was unsere D2C-Zahlen wirklich bewegt. Jetzt skalieren wir: mehr Märkte, mehr Kategorien, mehr Komplexitä t. Und wir brauchen jemanden, der dafür sorgt, dass unser Influencer Marketing Team noch stärker werden kann. Deine Mission bei uns Unsere Community und unsere Creator haben ESN zu dem gemacht, was es heute ist. Auf echten Beziehungen, auf Vertrauen, auf Content, der wirklich bewegt. Was wir jetzt hinzufügen: Insightsund Analysen, die unsere Creator voranbringen und uns helfen, noch proaktiver zu steuern. Du übersetzt D2C-Strategie in konkrete Creator-Ziele, nach Markt und Kategorie. So konkret, dass das Influencer Marketing Team direkt damit arbeiten kann. Du tauchst tief in die Performance ein: welche Creator wachsen, welche Märkte performen unter Potenzial, welche Kategorien zu wenig bespielt werden. Du weißt es, und du weißt, was daraus folgt. Du hältst den strategischen Rhythmus am Laufen: Reviews mit dem Influencer Marketing Team, Sessions mit Top-Creatorn, Abstimmungen mit internationalen Märkten. Aus jedemdieser Momente werden Entscheidungen, keine Statusupdates. Du siehst Risiken früh: Abhängigkeit von einzelnen Creatorn, Kategorie-Mix, der nicht stimmt, Märkte, die driften. Du flagst, du handelst. Du baust unsere Creator-Plattform mit auf: Tools, Frameworks, Reportings, die unser Team und unsere Creator zu State of the Art bringen. Deine Erfahrung & Skills Du hast 4–6 Jahre Berufserfahrung in Marketing, Strategy, Consulting oder D2C, idealerweise mit Bezug zu Konsumgütern, E-Commerce oder Creator-Marketing. Du denkst analytisch und kommerziell. Excel ist dein Werkzeug. Du baust Analysen, nicht nur Reports. Du übersetzt komplexe Daten in einfache Empfehlungen und stehst hinter ihnen, auch im Gespräch mit Senior Stakeholdern. Social-Media-savvy und am Puls der Zeit. Du verbringst viel Zeit auf Instagram und TikTok, du lebst Creator-Logiken täglich. Du arbeitest gerne im Maschinenraum, baust Strukturen, Cadences und Frameworks. Kein reiner Stratege, sondern jemand, der Dinge zum Laufen bringt. Du bist beziehungsstark. Du kannst challengen, ohne anzuecken. Eine zentrale Stimme zum Influencer Marketing-Team. Sprichst fließend Deutsch und Englisch. Warum wir? Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community. Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich. Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem: Attraktive Mitarbeiterrabatte auf Produkte von ESN & More Flexible Arbeitszeiten & Homeoffice-Möglichkeiten Zuschüsse zu Mobilität & Fitness ( z. B. Wellpass, Deutschlandticket) Betriebliche Altersvorsorge Workation-Optionen und mehr Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet. Über uns The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition. ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht. Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner. Das sind wir – The Quality Group – nice to meet you! Now it’s your turn! Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns.", "summaryDescription" : "Creator Growth & Insights Manager (gn) at The Quality Group. Skills: Creator marketing, D2C strategy, Performance analysis. Translate D2C strategy into creator goals. Analyze creator performance", "postedDate" : "2026-06-14T21:47:43.927", "createdAt" : "2026-06-14T21:47:43.927", "lastUpdated" : "2026-06-16T01:08:09.764", "ingestTimestamp" : "2026-06-14T21:47:43.927", "mongoId" : "6a2c7c5874d8ee00a094d210", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Creator growth analysis", "Creator marketing", "D2C strategy", "Analytical thinking", "Commercial thinking", "Data translation", "Consumer goods", "E-commerce", "Excel" ], "skillCount" : 10, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 620.364, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a486d74d8ee00a05df69c", "title" : "Senior Data Analytics Engineer - Data Insights", "company" : "Appfire", "salary" : { "min" : 150000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analytics Engineer in the Technology industry in the United States, adjusted for seniority and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T09:53:17.771", "fingerprint" : "81d513fab4daf98e2ac74e286b2af700c159e968d9cdfc20b945f85f0846499e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appfire/jobs/4702169005", "externalId" : "4702169005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, DBT, Snowflake, JSON", "professionalSkills" : [ "Data modeling", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "hardSkillsList" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation" ], "softSkillsList" : [ "Continuous learner", "Excellent communication", "Documentation skills" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Impactful analytics engineering", "level" : "intermediate" }, { "name" : "Self service analytics", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Semantic layers", "level" : "intermediate" }, { "name" : "Metrics layers", "level" : "intermediate" }, { "name" : "Data warehousing concepts", "level" : "intermediate" }, { "name" : "Problem-solving", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Project management", "level" : "intermediate" }, { "name" : "Technical concepts explanation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous learner" }, { "name" : "Excellent communication" }, { "name" : "Documentation skills" } ], "majorSkills" : "Data modeling, DBT, SQL, Python", "majorSkillsList" : [ "Data modeling", "DBT", "SQL", "Python" ], "coreResponsibilities" : "Understand decision needs, Interface with Analytics Engineers, Interface with Data Engineers, Interface with Data Analysts, Interface with Business Partners, Architect data models, Build data models, Launch data models, Architect data pipelines, Build data pipelines, Launch data pipelines, Leverage DBT, Leverage Snowflake, Design metrics, Implement metrics, Design dimensions, Implement dimensions, Define best practices on metric development, Define best practices on dimension development, Define best practices on data model development, Share best practices on metric development, Share best practices on dimension development, Share best practices on data model development", "teamCollaboration" : "Analytics Engineers; Data Engineers; Data Analysts; Business Partners; Fellow Analytics Engineers; Cross-functional teams", "projectManagementSkills" : [ "SDLC", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery" ], "domainKnowledge" : "Data warehousing concepts; Metrics layers; Semantic layers; Cloud Technologies", "domainList" : [ "data-warehousing-concepts", "metrics-layers", "semantic-layers", "cloud-technologies" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Metrics layers", "Semantic layers", "Cloud Technologies" ], "toolProficiency" : [ "DBT", "Snowflake", "GIT", "BitBucket" ], "communicationSkills" : "Explain technical concepts; Non-technical audience", "documentationSkills" : "Documentation skills; Technical concepts explanation", "continuousLearning" : "Continuous learner; Eye on industry trends; Eye on new technologies; Learning platform", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Achieve trusted data view; Achieve accessible data view; Achieve well-defined data view; Scale trust; Scale accountability; Scale decision impact; Power impactful analytic use cases; Enable decisions; Push boundaries of decisions; Evolve ecosystems to scale impact", "qualificationsBasic" : "5+ years relevant experience, Expert SQL skills, 3+ years Python experience, 3+ years DBT experience, Understanding data warehousing concepts, Efficient problem-solving skills, Analytical skills, Proven ability to succeed in collaborative environments, Proven ability to succeed in independent work environments, Proven experience managing concurrent complex data projects", "qualificationsPreferred" : "Experience with dbt implementation, Experience owning end to end SDLC, Full ownership of stakeholder management, Proficiency in source code management tools, Experience working with Cloud Technologies, Experience working with semi structured data formats, Experience building data solutions for future scale, 3+ years BI tools development experience, ML analytics engineering experience a plus, Marketing Analytics experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries. Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture. Here you can read some of our customer stories: https://appfire.com/resources/resource-library/customer-stories About the role: Appfire is seeking an experienced full-time Senior Analytics Engineer! In this role you will build, define and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources. You will work with stakeholders across Appfire to integrate, test, connect, and build brand new data and metrics within our Snowflake metrics layers, achieving a trusted, accessible and well-defined view of information across the company. Our Analytics Engineers build metric foundations for reporting, analysis and experimentation, pushing the boundaries of decisions across the company under an aligned view of the world. They leverage their expertise in metric development, DBT, data modeling, SQL and Python. Using these skills you will transform data from raw data warehouse into data artifacts powering impactful analytic use cases (e. g. metrics, dashboards, adhoc analysis and self-service solutions) that enable and push the boundaries of decisions across the company. As an Analytics Engineer you will sit at the intersection of business and data, working collaboratively to enable and achieve meaningful outcomes by evolving our ecosystems to scale impact. We’re growing quickly and have a lot to accomplish. What You Will Do: Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases What We Would Like to See: 5+ years of relevant industry experience Passion for high data quality and impactful analytics engineering work Expert SQL skills for data modeling and query optimization. Extensive experience with self service, advanced analytics, semantic and metrics layers 3+ Years of Experience with Python and DBT Strong understanding of data warehousing concepts and best practices. Efficient problem-solving and analytical skills Proven ability to succeed in both collaborative and independent work environments at a remote-work company Proven experience managing concurrent complex data projects from start to finish Continuous learner with an eye on industry trends and new technologies. Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience. Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation. Preferred Qualifications: Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling. Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery. Proficiency in source code management tools such as GIT, BitBucket, etc. Experience working with Cloud Technologies (AWS/GCP/Azure) Experience working with various semi structured data formats (ex. JSON) Experience building data solutions for future scale and analytics use-cases 3+ years of development experience on industry standard BI tools ML analytics engineering experience a plus Marketing Analytics experience a plus Equity Every Appfire team member is eligible for company equity, fostering a genuine sense of ownership and shared success as we continue to grow. Paid Time Off We believe in providing the flexibility needed to maintain a healthy work-life balance. Appfire offers: Unlimited Paid Time Off (PTO) 10 paid company holidays annually Health & Wellness Benefits Appfire provides a comprehensive benefits package designed to support employees and their families: Medical insurance fully covered by Appfire (100% employer-paid) Dental insurance with costs shared 50/50 between Appfire and employees Vision insurance Group Term Life Insurance Voluntary Life Insurance Critical Illness coverage Accident Insurance Long-Term Disability coverage Employee Assistance Program (EAP) In addition, employees are eligible for fitness and wellness reimbursements through our benefits provider. Learning & Development Grow your skills and advance your career through Appfire University, our custom on-demand learning platform designed to support continuous professional development. Community Impact & Volunteering Giving back is an important part of our culture. Every employee receives three fully paid volunteer days per year to participate in our Corporate Social Responsibility (CSR) initiatives and support local communities. Additional Benefits Appfire offers a range of programs to support employees both professionally and financially: Flexible Spending Accounts (FSA) Monthly remote-work stipend Dedicated Amazon account for ordering approved equipment and peripherals Competitive 401(k) plan with company matching to help build long-term financial security Flexibility That Fits How You Work Best This role is fully remote and can be performed anywhere within the United States. For those who prefer an office environment—or simply enjoy connecting with colleagues in person—Appfire also offers access to our offices in Boston, Burlington, and New York. Market recognition Appfire has been consistently recognized for company growth, culture, corporate social responsibility, and product excellence and has been included among the Deloitte Technology Fast 500, Inc. Best Workplaces, BuiltIn Best Places to Work, and Inc. 5000. Learn more about our accomplishments, which would not be possible without our team members, partners, and customers: https://appfire.com/awards. Equal Employer Opportunity (EEO) Appfire is an equal opportunity employer and does not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other protected characteristic as defined by applicable law. Our commitment extends to all employment practices, including recruitment, hiring, training, promotion, compensation, benefits, and termination.", "summaryDescription" : "Senior Data Analytics Engineer - Data Insights at Appfire. Skills: Data modeling, DBT, SQL, Python. Understand decision needs. Interface with Analytics Engineers", "postedDate" : "2026-06-11T19:40:06.665", "createdAt" : "2026-06-11T19:40:06.665", "lastUpdated" : "2026-06-14T09:53:17.771", "ingestTimestamp" : "2026-06-11T19:40:06.665", "mongoId" : "6a2a486d74d8ee00a05df69c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Impactful analytics engineering", "Self service analytics", "Advanced analytics", "Semantic layers", "Metrics layers", "Data warehousing concepts", "Problem-solving", "Analytical skills", "Project management", "Technical concepts explanation", "Continuous learner", "Excellent communication", "Documentation skills", "Data modeling", "DBT", "SQL", "Python", "Metric development", "Query optimization", "Data wrangling", "Stakeholder management", "Expectation setting", "Prioritization", "Development", "Delivery", "SDLC", "Cloud Technologies", "Snowflake", "GIT", "BitBucket" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "data-insights", "dataQualityScore" : 1.0, "_score" : 612.8319, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f092beec4dd3d934339", "title" : "Consultant, Analytics & Insights", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Professional Services", "salary" : { "min" : 50000.0, "max" : 195400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T04:39:48.842", "fingerprint" : "e2b37cab20fd5cb9a4e410b3e2257ef368cb9d67aa5a219566ee27dfeeeaa7e6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381284/apply", "externalId" : "3cfa8739-28a1-42fa-b947-45d1e17f1ab9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, R, Stata, Python", "professionalSkills" : [ "Data analysis", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising" ], "hardSkillsList" : [ "Data analysis", "Complex query writing", "Data translation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Complex query writing", "level" : "intermediate" }, { "name" : "Data translation", "level" : "intermediate" } ], "majorSkills" : "Analytics, Insights, Data analysis, Client consulting", "majorSkillsList" : [ "Analytics", "Insights", "Data analysis", "Client consulting" ], "coreResponsibilities" : "Deliver insights for advertisers, Be an analytical consultant for advertisers, Provide relevant insights for strategy discussions, Provide relevant insights for negotiations, Advance relationships with senior marketing decision makers, Establish oneself as go-to expert, Develop expertise in Amazon’s proprietary metrics, Evolve how we analyze data, Evolve how we communicate data, Drive decisions that increase ease of use of, Drive decisions that increase availability of data, Conduct analyses leveraging untapped datasets, Write documents with recommendations, Influence how partners teams operate", "teamCollaboration" : "Work with sales; Work with product; Work with retail; Work with business partners; Work with internal teams; Work with external partners; Work with partners teams", "domainKnowledge" : "Digital advertising; Online advertising; Performance advertising", "domainList" : [ "digital-advertising", "online-advertising", "performance-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Online advertising", "Performance advertising" ], "communicationSkills" : "Communicate recommendations; Compelling fashion", "problemSolvingSkills" : "Data-driven insights; Actionable insights; Actionable recommendations", "outcomesObjectives" : "Drive their businesses forward; Improve advertiser campaigns; Unlock business opportunities; Increase ease of use of data; Increase availability of data; Measurably more successful with Amazon", "qualificationsBasic" : "Experience translating technical aspects into actionable insights, Advanced SQL & ability to write complex queries, 5+ years digital advertising client-facing experience, 4+ years marketing/brand advertising/media sales experience, Experience conducting sophisticated analysis of complex data, Knowledge of data analysis languages (R, Stata, Python), Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills", "qualificationsPreferred" : "Experience with advertising publishers, Experience with marketing/creative agencies, Master's degree or above in marketing, advertising, or business, 8+ years digital ad sales experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are currently looking for a highly skilled and motivated consultant, Analytics & Insights to join the team. This role is a key member of the customer success team at Amazon Advertising, working with sales, product, retail and other Amazon business partners to analyze and improve advertisers’ performance on Amazon, in support of their marketing initiatives. Consultants, Analytics & Insights work with Amazon's unique data and translate it into high-quality and actionable insights and recommendations to improve the effectiveness of advertiser campaigns and unlock business opportunities. Day to day, the activities include analyzing metrics of success for a business or category, developing data-driven insights and recommendations and communicating recommendations in a clear and compelling fashion. Key job responsibilities • Deliver insights for some of the world’s largest advertisers to drive their businesses forward. • Be an analytical consultant for advertisers, by providing relevant insights that will be incorporated into upfront strategy discussions and negotiations. • Advance relationships with senior marketing decision makers (e.g. senior director, c-level) and establish oneself as go-to expert in at least one advanced analytical area of advertising. • Develop great expertise in Amazon’s proprietary metrics, working to constantly evolve how we analyze and communicate data-driven insights to our advertisers. • Drive decisions that increase the ease of use and availability of data to both internal teams and external partners. Conduct analyses which leverage previously untapped datasets. • Write documents with recommendations that influence how partners teams with Amazon Advertising operate, such as Account Management, Sales, or Product. About the team The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. Basic Qualifications: - Experience translating technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders - Experience in advanced SQL & ability to write complex queries from scratch from multiple tables - 5+ years of digital advertising and client facing roles with a focus on data analysis experience - 4+ years of marketing, brand advertising, media sales or online advertising work and close work with senior advertisers and agency stakeholders experience - Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations - Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software - Experience using strong customer service, communication, and interpersonal skills Preferred Qualifications: - Experience with advertising publishers and marketing/creative agencies - Master's degree or above in marketing, advertising, business or equivalent - 8+ years of digital ad sales as an individual contributor selling performances based advertising or similiar offering experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 144,500.00 - 195,400.00 USD annually", "summaryDescription" : "Consultant, Analytics & Insights at Amazon Advertising LLC. Skills: Analytics, Insights, Data analysis, Client consulting. Deliver insights for advertisers. Be an analytical consultant for advertisers", "postedDate" : "2026-06-13T09:42:10.264", "createdAt" : "2026-06-13T09:42:10.264", "lastUpdated" : "2026-06-15T04:39:48.842", "ingestTimestamp" : "2026-06-13T09:42:10.264", "mongoId" : "69cf3f092beec4dd3d934339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381284/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 195400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Complex query writing", "Data translation", "Analytics", "Insights", "Client consulting", "Client facing", "Marketing strategy", "Brand advertising", "Media sales", "Online advertising", "Digital advertising", "Performance advertising" ], "skillCount" : 13, "jobCategory" : "marketing", "dataQualityScore" : 0.8888889, "_score" : 611.4766, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a25145a74d8ee00a00bb4fb", "title" : "Data Engineering Manager, Planning and Audience Insights", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Data Engineering, entertainment", "salary" : { "min" : 170000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Culver City, California, USA", "locations" : [ "Culver City, California, USA" ], "timestamp" : "2026-06-15T03:17:28.355", "fingerprint" : "6aa3c856387fafb46a2f01fc537040ea31717e821969bb55d633e4a39d7571e4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "externalId" : "ca490d26-9b5c-4f9c-ac4c-e2946741f12c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Culver City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0211224,-118.3964660" } ], "locationText" : "Culver City, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Redshift, ETL, ELT, Data modeling, Python, Java, Scala, NodeJS, Hadoop, Hive, Spark, EMR, AWS, S3, EC2, Lambda, GenAI, ML", "professionalSkills" : [ "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions" ], "hardSkillsList" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data infrastructure management", "level" : "intermediate" }, { "name" : "Platform capabilities", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost efficiency", "level" : "intermediate" }, { "name" : "Scalability management", "level" : "intermediate" }, { "name" : "Monitoring implementation", "level" : "intermediate" }, { "name" : "Alerting implementation", "level" : "intermediate" }, { "name" : "SLA implementation", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Cross-functional partnership", "level" : "intermediate" }, { "name" : "Roadmap reviews", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, AI/ML, Data Platform, Team Leadership", "majorSkillsList" : [ "Data Engineering", "AI/ML", "Data Platform", "Team Leadership" ], "coreResponsibilities" : "Lead and develop senior data engineers, Hire senior data engineers, Mentor senior data engineers, Set technical direction, Manage performance of engineers, Manage growth opportunities for engineers, Own data platform strategy, Own data platform roadmap, Manage Redshift infrastructure, Optimize Redshift infrastructure, Ensure Redshift performance, Ensure Redshift cost efficiency, Ensure Redshift availability, Ensure Redshift scalability, Own data pipelines for AI tools, Ensure reliable data flows, Ensure high-quality data flows, Drive data engineering for applications, Establish data governance standards, Enforce data governance standards, Establish data quality standards, Enforce data quality standards, Establish data reliability standards, Enforce data reliability standards, Implement monitoring, Implement alerting, Implement SLAs, Implement data quality frameworks, Partner cross-functionally, Translate business requirements, Design scalable data architecture, Design pipeline solutions, Represent data engineering in forums, Contribute to annual planning, Contribute to QBRs, Contribute to roadmap reviews, Communicate trade-offs, Communicate capacity constraints, Communicate investment needs, Drive operational excellence, Own on-call processes, Manage incident response, Manage COE follow-ups, Improve operational posture", "teamCollaboration" : "Product managers; Data scientists; Analytics; BI engineers; Software engineers; Content programmers; Marketing strategists; Senior leadership", "projectManagementSkills" : [ "Roadmap planning", "Annual planning", "QBRs" ], "domainKnowledge" : "Prime Video; Audience Insights; Streaming services; Content programming; Marketing optimization; Audience growth; AI Tooling; Automation; Audience Infrastructure; Customer journey; Marketplace intelligence; Competitive intelligence; Digital creative production; Ad serving; Cross-channel attribution; Media analytics", "domainList" : [ "prime-video", "audience-insights", "streaming-services", "content-programming", "marketing-optimization", "audience-growth", "ai-tooling", "automation", "audience-infrastructure", "customer-journey", "marketplace-intelligence", "competitive-intelligence", "digital-creative-production", "ad-serving", "cross-channel-attribution", "media-analytics" ], "domainSpecificKnowledge" : [ "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Marketing optimization", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics" ], "toolProficiency" : [ "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On-call processes", "qualificationsBasic" : "7+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, 3+ years developing/operating large-scale data structures for BI analytics, Experience leading/influencing data/BI strategy, Experience communicating to senior management, Experience communicating to customers, Experience in scripting or programming language", "qualificationsPreferred" : "Experience with big data technologies, Experience with AWS Tools, Experience working with Data & AI technologies, Knowledge of digital creative production, Knowledge of ad serving, Knowledge of cross-channel attribution, Knowledge of media analytics, Experience developing cloud native CI/CD workflows", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming across thousands of devices, from award-winning Amazon MGM Studios originals to live sports, channels, and TVOD. Behind the content our customers love is a team shaping what gets released, when, and for whom. The US Planning & Audience Insights team is where strategy meets data meets AI: we build the tools and intelligence that power programming decisions, audience growth, and marketing optimizations. We’re looking for a Data Engineering Manager to lead the Data Engineering function within Prime Video’s US Planning & Audience Insights team. This team defines Prime Video’s north star (long-term strategy, priority audiences, and growth objectives) and delivers the customer intelligence, analytics, and AI-powered solutions that enable the organization to achieve them. You’ll lead a team of senior data engineers and own the data infrastructure, pipelines, and platform capabilities that power our analytics, AI tools, and business-critical applications. Your team’s work directly enables content programming, marketing optimization, and audience strategy for one of the world’s largest streaming services. This requires you to balance competing priorities, manage complex stakeholder relationships, and work shoulder-to-shoulder with product managers, data scientists, and analytics to deliver scalable data solutions at pace. Key job responsibilities • Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities. • Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders. • Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines. • Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation. • Drive data engineering for business-critical applications, including dashboards and other internal self developed software products. • Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets. • Partner cross-functionally with product managers, data scientists, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions. • Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership. • Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture. About the team The US Planning & Audience Insights team sits within US Prime Video. We operate across six functions: Business Planning, Product-Tech, Analytics, Data Science, Data Engineering, and Research. Our stakeholders span content programming, content acquisition, marketing, and PV senior leadership. Our 2026 roadmap is anchored in two investment themes (AI Tooling & Automation and Audience Infrastructure & Insights) spanning content optimization, experimentation, marketing, customer journey, marketplace, and competitive intelligence. Our products serve content programmers, marketing strategists, and senior leadership. We build tools that help PV decide what to release, when to release it, who to target, and how to measure success at scale. Basic Qualifications: - 7+ years of data engineering experience - Experience managing a data or BI team - 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience - Experience leading and influencing the data or BI strategy of your team or organization - Experience communicating to senior management and customers verbally and in writing - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Knowledge of digital creative production, ad serving, cross-channel attribution, and media analytics - Experience developing cloud native CI/CD workflows and tools, such as Jenkins, Bamboo, TeamCity, Code Deploy (AWS) or GitLab Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City - 170,000.00 - 230,000.00 USD annually USA, WA, SEATTLE - 170,000.00 - 230,000.00 USD annually", "summaryDescription" : "Data Engineering Manager, Planning and Audience Insights at Amazon.com Services LLC. Skills: Data Engineering, AI/ML, Data Platform, Team Leadership. Lead and develop senior data engineers. Hire senior data engineers", "postedDate" : "2026-06-13T10:46:12.112", "createdAt" : "2026-06-13T10:46:12.112", "lastUpdated" : "2026-06-15T03:17:28.355", "ingestTimestamp" : "2026-06-13T10:46:12.112", "mongoId" : "6a25145a74d8ee00a00bb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441155/apply", "salaryAnnualMin" : 170000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data infrastructure management", "Platform capabilities", "Performance optimization", "Cost efficiency", "Scalability management", "Monitoring implementation", "Alerting implementation", "SLA implementation", "Data quality frameworks", "Cross-functional partnership", "Roadmap reviews", "Incident response", "Continuous improvement", "Leadership", "Mentoring", "Data Engineering", "AI/ML", "Data Platform", "Team Leadership", "Data governance", "Data quality", "Data reliability", "Business intelligence", "Data architecture", "Pipeline solutions", "Audience segmentation", "Content analysis", "Experimentation automation", "Marketing optimization", "Audience strategy", "Programming decisions", "Roadmap planning", "Annual planning", "QBRs", "Prime Video", "Audience Insights", "Streaming services", "Content programming", "Audience growth", "AI Tooling", "Automation", "Audience Infrastructure", "Customer journey", "Marketplace intelligence", "Competitive intelligence", "Digital creative production", "Ad serving", "Cross-channel attribution", "Media analytics", "Redshift clusters", "Jenkins", "Bamboo", "TeamCity", "Code Deploy", "GitLab" ], "skillCount" : 56, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 609.9867, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fda4e24c40e2acd1b9972e", "title" : "Senior Financial Analyst", "company" : "Amazon. com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 82700.0, "max" : 117100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:45:19.567", "fingerprint" : "77f05be7c9cc62e80819b8bcede11413d20b65c3618e38b0e131a84b55418fe1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413718/apply", "externalId" : "8495fb8f-3412-4ed8-9acb-895094b28924", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel", "professionalSkills" : [ "Business partnering", "Business judgment", "Financial insights", "Financial models", "Business cases", "Profitability analyses", "ROI analyses", "Risk assessment", "Incremental value assessment", "FP&A process", "Guidance", "OP1/2", "3YF", "Partner expense accruals", "Monthly Business Review", "Headcount tracking", "Operating Expenses tracking", "Financial metrics", "Operational metrics", "Controllership environment", "Financial controls", "Operational controls", "Financial questions", "Financial inputs", "Financial queries", "Standardization", "Process simplification", "Scalable solutions" ], "hardSkillsList" : [ "Financial modeling", "Business case development", "Profitability analysis", "ROI analysis", "Risk assessment", "Forecasting", "Budgeting", "Variance analysis", "Data interpretation", "Accounting principles" ], "softSkillsList" : [ "Analytical", "Strategic", "First-principles thinker", "Creative", "Action-oriented", "Rigorous" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Business case development", "level" : "intermediate" }, { "name" : "Profitability analysis", "level" : "intermediate" }, { "name" : "ROI analysis", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Budgeting", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Accounting principles", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Strategic" }, { "name" : "First-principles thinker" }, { "name" : "Creative" }, { "name" : "Action-oriented" }, { "name" : "Rigorous" } ], "majorSkills" : "Financial analysis, Business development, Partnership finance", "majorSkillsList" : [ "Financial analysis", "Business development", "Partnership finance" ], "coreResponsibilities" : "Influence leaders by delivering actionable financial insights, Build financial models, Build business cases, Maximize strategic impact of partnerships, Conduct profitability analyses, Conduct ROI analyses, Conduct risk assessment, Collaborate with business teams on creating new methods, Assess incremental value in strategic partnerships, Assess incremental value in customer segments, Own WW FP&A process for Preloads, Manage Guidance, Manage OP1/2, Manage 3YF, Manage month-end partner expense accruals, Lead Monthly Business Review process, Deliver commentary on trends, Deliver commentary on variances, Deliver commentary on key drivers, Deliver commentary on business performance, Track headcount, Report on headcount, Track Operating Expenses, Report on Operating Expenses, Drive continuous reporting improvement, Improve financial metrics reporting, Improve operational metrics reporting, Provide a controllership environment, Improve controls over operational metrics, Improve controls over financial metrics, Be go-to-person for financial questions, Be go-to-person for financial inputs, Be go-to-person for financial queries, Help finance team drive standardization, Help finance team simplify processes, Help finance team build scalable solutions", "teamCollaboration" : "Internal finance teams; Business teams; Cross-functional teams", "domainKnowledge" : "Digital services distribution; Mobile Business Development; Partnership economics", "domainList" : [ "digital-services-distribution", "mobile-business-development", "partnership-economics" ], "domainSpecificKnowledge" : [ "Digital services distribution", "Mobile Business Development", "Partnership economics" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Written skills; Verbal skills", "problemSolvingSkills" : "Solving complex problems; Dealing with ambiguity", "outcomesObjectives" : "Accelerate Amazon’s growth; Maximize strategic impact of partnerships; Drive growth by influencing leaders’ decision-making", "qualificationsBasic" : "3+ years tax, finance, or analytical field experience, Bachelor's degree in finance, accounting, business, economics, or related analytical field", "qualificationsPreferred" : "Demonstrated effective communication and writing skills, Exceptional analytical skills, Advanced knowledge of Excel, Ability to work independently, Demonstrated financial and/or analytical experience, Familiarity with forecasting, budgeting, variance analysis, Familiarity with data interpretation and analysis, Familiarity with accounting principles and concepts, Ability to meet tight deadlines, Prioritize workload, Achieve effective results in a fast-paced, dynamic, ever-growing and often ambiguous environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Fuse & Mobile Business Development (MBD) Finance Team is seeking a hands-on, analytical and strategic Senior Financial Analyst (SFA), who is passionate about accelerating Amazon’s growth. This is a unique opportunity to join a centralized corporate business development team working on strategic partnerships to accelerate Amazon’s flywheel by distributing Amazon’s digital services. Specifically, the Amazon Fuse & Mobile Business Development (MBD) team is a group chartered with distribution of Amazon’s digital services through partnerships with Mobile Operators, MVPDs (video distributors) and OEMs worldwide. This position requires a candidate who can successfully tackle multiple projects in a start-up environment. The right individual will have exceptional finance skills, business partnering skills, and strong business judgment. You will need to work collaboratively with internal finance and business teams to understand their business priorities and economics. We dive deep and provide thoughtful and rigorous analysis, yet are creative, adaptable and action-oriented to drive growth by directly influencing leaders’ decision-making. The ideal candidate is a first-principles thinker, enjoys solving complex problems, dealing with ambiguity, and working effectively with cross-functional teams. The candidate also thrives in fast-paced settings that are constantly evolving. Key job responsibilities - Influence leaders by delivering actionable financial insights that drive business performance. - Build financial models and business cases in order to maximize the strategic impact of the MBD partnerships including profitability and ROI analyses, and risk assessment. - Collaborate with business teams on creating new methods in assessing incremental value in strategic partnerships and customer segments. - Own WW FP&A process for Preloads including Guidance, OP1/2, 3YF as well as month-end partner expense accruals - Lead Monthly Business Review (MBR) process, delivering commentary on trends, variances, key drivers, business performance. - Track and report on headcount (HC) and Operating Expenses (OpEx) - Drive continuous reporting improvement on the monthly financial and operational metrics - Provide a strong controllership environment and improve controls over operational and financial metrics - Be go-to-person for financial questions, inputs and queries for Preloads business. - Help finance team drive standardization, simplify processes and build scalable solutions. About the team Amazon Fuse & Mobile Business Development (MBD) Finance is a small, tight-knit team who values strong-analytical individuals who also think creatively, can quickly learn business dynamics in the space they’re operating in and proactively seek out opportunities to advance the growth initiatives of Amazon’s businesses. Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or MBA Preferred Qualifications: - Demonstrated effective communication and writing skills in working with senior finance and business leaders - Exceptional analytical skills and advanced knowledge of Excel with demonstrated ability to build financial models and create business cases - Ability to work independently in a fast-paced and rapidly changing environment - Demonstrated financial and/or analytical experience including familiarity with concepts of forecasting, budgeting, and variance analysis, and/or data interpretation and analysis, and/or accounting principles and concepts - Ability to meet tight deadlines, prioritize workload and achieve effective results in a fast-paced, dynamic, ever-growing and often ambiguous environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 82,700.00 - 117,100.00 USD annually", "summaryDescription" : "Senior Financial Analyst at Amazon. com Services LLC. Skills: Financial analysis, Business development, Partnership finance. Influence leaders by delivering actionable financial insights. Build financial models", "postedDate" : "2026-06-13T06:40:47.283", "createdAt" : "2026-06-13T06:40:47.283", "lastUpdated" : "2026-06-15T02:45:19.567", "ingestTimestamp" : "2026-06-13T06:40:47.283", "mongoId" : "69fda4e24c40e2acd1b9972e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413718/apply", "salaryAnnualMin" : 82700, "salaryAnnualMax" : 117100, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Business case development", "Profitability analysis", "ROI analysis", "Risk assessment", "Forecasting", "Budgeting", "Variance analysis", "Data interpretation", "Accounting principles", "Analytical", "Strategic", "First-principles thinker", "Creative", "Action-oriented", "Rigorous", "Financial analysis", "Business development", "Partnership finance", "Business partnering", "Business judgment", "Financial insights", "Financial models", "Business cases", "Profitability analyses", "ROI analyses", "Incremental value assessment", "FP&A process", "Guidance", "OP1/2", "3YF", "Partner expense accruals", "Monthly Business Review", "Headcount tracking", "Operating Expenses tracking", "Financial metrics", "Operational metrics", "Controllership environment", "Financial controls", "Operational controls", "Financial questions", "Financial inputs", "Financial queries", "Standardization", "Process simplification", "Scalable solutions", "Digital services distribution", "Mobile Business Development", "Partnership economics", "Excel" ], "skillCount" : 50, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 609.7158, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a210e9b74d8ee00a0af8726", "title" : "Insights Manager, YouTube Marketing", "company" : "Google", "industry" : "Media", "salary" : { "min" : 195000.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Manager in the Media industry in San Bruno, United States, adjusted for Google's company size and the specified seniority level." }, "location" : "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]", "locations" : [ "[San Bruno, CA, USA, [901 Cherry Ave, San Bruno, CA 94066, USA], San Bruno, 94066, CA, US]", "[Chicago, IL, USA, [Chicago, IL, USA], Chicago, null, IL, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Los Angeles, CA, USA, [Los Angeles, CA, USA], Los Angeles, null, CA, US]" ], "timestamp" : "2026-06-16T14:42:48.716", "fingerprint" : "a482dd96a8ab10fa1220c31d6af6672e1352b118304ca053c822a29ce33dedbc", "source" : "google", "language" : "en", "externalId" : "105371821355737798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Bruno", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6248536,-122.4145986" } ], "locationText" : "San Bruno, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning" ], "hardSkillsList" : [ "A/B testing", "Data analysis", "Marketing strategy" ], "hardSkills" : [ { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Marketing strategy", "level" : "intermediate" } ], "majorSkills" : "Marketing analytics, Data visualization, A/B testing", "majorSkillsList" : [ "Marketing analytics", "Data visualization", "A/B testing" ], "coreResponsibilities" : "Develop and execute marketing strategies, Analyze campaign performance, Identify growth opportunities, Build and maintain dashboards, Present insights to stakeholders, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams; Marketing teams; Product teams", "domainKnowledge" : "YouTube marketing; Digital advertising; Consumer behavior", "domainList" : [ "youtube-marketing", "digital-advertising", "consumer-behavior" ], "domainSpecificKnowledge" : [ "YouTube marketing", "Digital advertising", "Consumer behavior" ], "toolProficiency" : [ "Tableau", "Looker", "Google Analytics" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data-driven decision making", "outcomesObjectives" : "Drive marketing growth; Optimize campaign performance; Increase user engagement", "qualificationsBasic" : "5+ years of experience in marketing analytics, Experience with A/B testing, Experience with SQL, Experience with data visualization tools", "qualificationsPreferred" : "Experience with Python or R, Experience with statistical modeling, Experience with machine learning", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Insights Manager, YouTube Marketing at Google. Skills: Marketing analytics, Data visualization, A/B testing. Develop and execute marketing strategies. Analyze campaign performance", "postedDate" : "2026-06-16T01:49:38.691", "createdAt" : "2026-06-16T01:49:38.691", "lastUpdated" : "2026-06-16T14:42:48.716", "ingestTimestamp" : "2026-06-16T01:49:38.691", "mongoId" : "6a210e9b74d8ee00a0af8726", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 195000, "salaryAnnualMax" : 295000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "A/B testing", "Data analysis", "Marketing strategy", "Marketing analytics", "Data visualization", "Statistical modeling", "Machine learning", "YouTube marketing", "Digital advertising", "Consumer behavior", "Tableau", "Looker", "Google Analytics" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 609.4313, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca68e74d8ee00a09bc2ec", "title" : "Retail Operations & Insights, Sr. Analyst", "company" : "Athena Club", "industry" : "Retail", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T12:29:54.850", "fingerprint" : "d9f43855293bdbb0617ecc76ac7700ab08347bb5b10286cf809b4df8e6583da8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/athenaclub/jobs/4253013009", "externalId" : "4253013009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "softSkillsList" : [ "Collaborative mindset" ], "softSkills" : [ { "name" : "Collaborative mindset" } ], "majorSkills" : "Retail Operations, Data Analysis", "majorSkillsList" : [ "Retail Operations", "Data Analysis" ], "coreResponsibilities" : "Investigate root causes, Drive corrective actions", "teamCollaboration" : "Internal stakeholders; External stakeholders", "toolProficiency" : [ "Microsoft Excel", "Google Sheets" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Root cause analysis; Problem-solving", "qualificationsBasic" : "Proficiency in Microsoft Excel, Proficiency in Google Sheets, Written communication skills, Verbal communication skills, Manage multiple priorities, Work in a deadline-driven environment", "qualificationsPreferred" : "Warehouse experience with Walmart, Warehouse experience with Target, Warehouse experience with Amazon", "remoteFriendly" : false, "rawDescription" : "Athena Club is building the next-generation personal care company, and we’re just getting started. Over the past 12 months, we’ve doubled our business, accelerated our retail momentum, and expanded our reach as more customers turn to Athena for beautifully designed, high-performance essentials. We’re redefining everyday personal care through innovation, transparency, and design-led thinking, transforming daily routines into rituals. With strengths in world-class product development, compelling storytelling, and a brand built to stand out on shelf and in culture, we’re entering an exciting new phase of category expansion and national growth. We’re looking for experienced, entrepreneurial leaders who thrive in fast-moving environments, take full ownership, and know how to scale teams, systems, and outcomes. This role is a rare opportunity to help shape Athena Club’s next chapter, driving strategy, execution, and long-term impact as we build an iconic modern personal care brand. The Role We are looking for a detail-oriented and collaborative Retail Operations investigate root causes and drive corrective actions. Warehouse experience with Walmart, Target, Amazon, or similar accounts a strong plus. Proficiency in Microsoft Excel and Google Sheets. Strong written and verbal communication skills with the ability to manage multiple priorities across internal and external stakeholders. Highly organized, proactive, and comfortable working in a deadline-driven environment. A collaborative mindset with a bias toward problem-solving and continuous improvement. The (+) Extras Medical, Dental, Vision insurance Life + Disability HSA or FSA Commuter benefits 401K Weekly team lunches Optional Bi-Weekly Team Workouts Annual Offsite “Camp Athena Club” Salary Range $75,000—$90,000 USD Equal Opportunity & Inclusion Athena Club is an equal opportunity employer and is committed to building an inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, citizenship status, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable law. We believe diverse perspectives strengthen our team and our products, and we encourage people from all backgrounds to apply.", "summaryDescription" : "Retail Operations & Insights, Sr. Analyst at Athena Club. Skills: Retail Operations, Data Analysis. Investigate root causes. Drive corrective actions", "postedDate" : "2026-06-13T21:26:26.594", "createdAt" : "2026-06-13T21:26:26.594", "lastUpdated" : "2026-06-15T12:29:54.850", "ingestTimestamp" : "2026-06-13T21:26:26.594", "mongoId" : "6a2ca68e74d8ee00a09bc2ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Collaborative mindset", "Retail Operations", "Data Analysis", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Microsoft Excel", "Google Sheets" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 607.7186, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9b60", "title" : "Staff Data Scientist - Product", "company" : "Apollo. io", "industry" : "SaaS", "salary" : { "min" : 205200.0, "max" : 295000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:29:35.385", "fingerprint" : "723b63ee82e93de895511fcf6e63dfcdd03f1495ace7dab8cb50bacf3ee1caea", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apolloio/jobs/5894865004", "externalId" : "5894865004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, R, Python, SAS, Looker, Amplitude, Heap, Mixpanel", "professionalSkills" : [ "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Analytics infrastructure", "Product goals" ], "hardSkillsList" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Funnel analysis", "level" : "intermediate" }, { "name" : "Funnel optimization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Product analytics, Data science, Machine learning, Statistical analysis", "majorSkillsList" : [ "Product analytics", "Data science", "Machine learning", "Statistical analysis" ], "coreResponsibilities" : "Translate business needs into data analysis and actionable, Optimize product performance and user experience, Support early-stage product initiatives, Work closely with product managers, engineers, and stakeholders, Identify critical product questions, Provide data-driven solutions, Develop and maintain scalable, reliable, and accurate analytics, Support product decisions, Establish and maintain best practices for data collection,, Deliver actionable insights and recommendations, Focus on landing tangible product impact, Foster a culture of data-driven decision-making, Foster a culture of continuous improvement, Ensure the integrity and accuracy of the data, Support 0 to 1 product launches, Identify key metrics, Analyze early-stage product data", "teamCollaboration" : "Cross-functional teams; Product managers; Engineers; Stakeholders", "domainKnowledge" : "SaaS Product-Led Growth; Product activation metrics; Aha moments; Habit moments", "domainList" : [ "saas-product-led-growth", "product-activation-metrics", "aha-moments", "habit-moments" ], "domainSpecificKnowledge" : [ "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments" ], "toolProficiency" : [ "Looker", "Amplitude", "Heap", "Mixpanel" ], "communicationSkills" : "Present data insights", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience, Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization, Expert-level proficiency in influencing product strategy with SQL, A testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc, Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with Product Analytics tools (e.g., Looker, Amplitude), Experience with 0 to 1 product initiatives, Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments)", "remoteFriendly" : true, "rawDescription" : "Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. Establish and maintain best practices for data collection, analysis, and reporting. Deliver actionable insights and recommendations focused on landing tangible product impact. Help foster a culture of data-driven decision-making and continuous improvement within the product teams. Ensure the integrity and accuracy of the data used for analysis and reporting. While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Expertise in translating complex data into insights that are actionable for cross-functional teams. Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. Experience in building and maintaining reliable analytics infrastructures. Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. Experience with 0 to 1 product initiatives is a plus, though not required. A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $236,000—$295,000 USD Tier 2 Pay Range (All other US Locations) $205,200—$256,500 USD We are AI Native Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at Apollo At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!", "summaryDescription" : "Staff Data Scientist - Product at Apollo. io. Skills: Product analytics, Data science, Machine learning, Statistical analysis. Translate business needs into data analysis and actionable. Optimize product performance and user experience", "postedDate" : "2026-06-15T23:16:02.991", "createdAt" : "2026-06-15T23:16:02.991", "lastUpdated" : "2026-06-16T06:29:35.385", "ingestTimestamp" : "2026-06-15T23:16:02.991", "mongoId" : "6a305118f292fd229cef9b60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 205200, "salaryAnnualMax" : 295000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Exploratory analysis", "Time series analysis", "Funnel analysis", "Funnel optimization", "A/B testing", "Machine learning", "Statistical analysis", "Adaptability", "Product analytics", "Data science", "Product strategy", "Data analysis", "Product innovation", "Product optimization", "Data-driven solutions", "Analytics infrastructure", "Data collection", "Data reporting", "Product impact", "Data-driven decision-making", "Continuous improvement", "Data integrity", "Data accuracy", "Product launches", "Product metrics", "Product challenges", "Product goals", "SaaS Product-Led Growth", "Product activation metrics", "Aha moments", "Habit moments", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Looker", "Amplitude", "Heap", "Mixpanel" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 601.94116, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5d2574d8ee00a08dad6f", "title" : "French into Portuguese Financial Banking Translator", "company" : "Welocalize", "industry" : "Global Freelance & Agency Opportunities", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level French to Portuguese Financial Banking Translator in Europe, adjusted for remote work and the banking industry." }, "location" : "Remote - Europe", "locations" : [ "Remote - Europe", "Remote, Worldwide" ], "timestamp" : "2026-06-16T02:15:03.687", "fingerprint" : "8c0af926daddd0a92adac5c50d65f2554ac780d4c70f717dd2e6677561ea181d", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/weloglobal/aeb21a75-e6c7-4eec-81dc-3a70318bd9cc/apply", "externalId" : "aeb21a75-e6c7-4eec-81dc-3a70318bd9cc", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 3, "technicalSkills" : "Translation tools, Terminology tools", "professionalSkills" : [ "Copyediting", "Translation" ], "majorSkills" : "Banking, Financial Operations", "majorSkillsList" : [ "Banking", "Financial Operations" ], "coreResponsibilities" : "Translate content from French into Portuguese, Copyedit content from French into Portuguese, Convey original meaning understandably to target audience", "domainKnowledge" : "Banking; Financial Operations", "domainList" : [ "banking", "financial-operations" ], "domainSpecificKnowledge" : [ "Banking", "Financial Operations" ], "communicationSkills" : "Communicate rationale", "continuousLearning" : "Keep learning and growing", "qualificationsBasic" : "Minimum 3 years' experience translating, Native fluency in target language, Degree in linguistics, translation or equivalent experience, Able to follow instructions, Able to communicate rationale behind translation skills, Able to both translate and review", "qualificationsPreferred" : "Previous experience with Financial/Economicanking documents, Experience working in a multi-vendor scenario", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. MAIN PURPOSE OF THE JOB We are looking for several French into Portuguese translators and copyeditors to join our growing team for one of our global International Financial/Banking clients. This will be an on-going project where we offer steady volumes on a weekly basis. ## MAIN DUTIES Translate and copyedit content from French into Portuguese with original meaning conveyed in a manner that is readable and understandable to target audience. Content types: [\"Banking\",\"Financial Operations\"] ## REQUIRED SKILLS Minimum 3 years' experience translating and reviewing content in the specified subject matter. Proficient in all areas of expertise: Banking, Financial Operations . Previous experience with Financial/Economic/Banking documents will be a plus. Well-versed in various translation & terminology tools. Native fluency in target language. Degree in linguistics, translation or equivalent experience. Able to follow instructions, eg. character restrictions, etc. Able to communicate effectively the rationale behind their translation skills. Able to both translate and review. Experience working in a multi-vendor scenario a plus. ## Additional Information When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies} ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below. ", "summaryDescription" : "French into Portuguese Financial Banking Translator at Welocalize. Skills: Banking, Financial Operations. Translate content from French into Portuguese. Copyedit content from French into Portuguese", "postedDate" : "2026-06-10T14:25:31.845", "createdAt" : "2026-06-10T14:25:31.845", "lastUpdated" : "2026-06-16T02:15:03.687", "ingestTimestamp" : "2026-06-14T21:12:42.250", "mongoId" : "6a2c5d2574d8ee00a08dad6f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Banking", "Financial Operations", "Copyediting", "Translation" ], "skillCount" : 4, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 598.9875, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0f529b58b93c861e052fca", "title" : "Sr. Manager, Customer Performance & Insights", "company" : "Hyundai Capital America", "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T13:57:07.233", "fingerprint" : "71c876584c8bc802443fa6a9717e593495b85bf227c1884721d5d702f910419a", "source" : "taleo", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=116564", "externalId" : "116564", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 8, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Customer experience, financing, leasing, insurance solutions." ], "hardSkillsList" : [ "SQL", "Python" ], "softSkillsList" : [ "leadership" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" } ], "softSkills" : [ { "name" : "leadership" } ], "majorSkills" : "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "majorSkillsList" : [ "customer insights, CX analytics, predictive analytics, stakeholder management, leadership" ], "coreResponsibilities" : "Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "teamCollaboration" : "Facilitate cross-functional alignment and embed customer-driven decision-making.", "toolProficiency" : [ "Glassbox, Microsoft Office" ], "communicationSkills" : "executive-level communication; storytelling; executive presentation", "problemSolvingSkills" : "analytical; problem-solving", "specialRequirements" : "Work model is onsite 4 days a week. Compliance with all applicable federal, state, and local equal employment opportunity laws. California Privacy Notice provided.", "outcomesObjectives" : "Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals. Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management. Establish proactive monitoring and predictive analytics to detect emerging CX risks. Design and manage closed-loop feedback systems to ensure resolution and measurable improvements.", "qualificationsBasic" : "8+ years in customer insights, CX analytics, research, VoC, or CX strategy. 3+ years of leadership experience. Predictive analytics experience related to customer behavior or journey risk. Experience managing qualitative, quantitative, and behavioral research programs. Proven ability to influence senior stakeholders and lead cross-functional initiatives. Executive-level communication experience. Bachelor’s degree in relevant field required.", "qualificationsPreferred" : "Advanced degree preferred. Familiarity with CX tools (e.g., Glassbox).", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Job Title: Sr. Manager, Customer Performance & Insights Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We’re a company driven by growth, innovation, and people. At HCA, you’ll find opportunities to build new skills, expand your career, and make a real impact—while working in a diverse, inclusive, and values driven environment. We’re proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you’re looking for a fast paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement. Apply today. WORK MODEL #LI-OnSite (4 days a week) WHAT YOU WILL DO The Sr. Manager, Customer Performance & Insights is a strategic analytics leader responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. This role builds and oversees the full ecosystem of customer feedback—both stated and unstated—to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements. HOW YOU WILL MAKE AN IMPACT Own and evolve the enterprise CX Health measurement framework, integrating feedback across channels to deliver a holistic view of customer experience Identify customer pain points and journey friction by connecting insights across touchpoints, behavioral data, and feedback signals Develop dashboards, scorecards, and executive reporting that shift from reactive reporting to proactive, predictive CX management Lead customer research and analytics programs, translating findings into actionable, prioritized recommendations Integrate insights from social media, call centers, complaints, operational data, and tools like Glassbox Establish proactive monitoring and predictive analytics to detect emerging CX risks Facilitate cross-functional alignment and embed customer-driven decision-making Design and manage closed-loop feedback systems to ensure resolution and measurable improvements Influence senior stakeholders through storytelling and data-backed recommendations Lead, mentor, and develop a high-performing team WHAT YOU WILL BRING TO THE ROLE Experience: 8+ years in customer insights, CX analytics, research, VoC, or CX strategy 3+ years of leadership experience Predictive analytics experience related to customer behavior or journey risk Experience managing qualitative, quantitative, and behavioral research programs Proven ability to influence senior stakeholders and lead cross-functional initiatives Executive-level communication experience Education: Bachelor’s degree in relevant field required Advanced degree preferred Skills & Knowledge: Expertise in customer insights, VoC, and CX measurement Strong analytical and problem-solving skills Experience with SQL, Python, or predictive modeling tools Ability to translate data into actionable strategies Familiarity with CX tools (e.g., Glassbox) Strong storytelling and executive presentation skills Stakeholder management in matrixed environments Advanced Excel and Microsoft Office skills Strong communication and leadership abilities WE TAKE CARE OF OUR PEOPLE Along with competitive pay, as an employee of HCA, you are eligible for: · Medical, dental, and vision plans with no-cost and low-cost options · Annual employer HSA contribution · 401(k) matching and immediate vesting · Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: o Associate / Sr. Associate: $350 o Manager / Sr. Manager: $600 o Director: $800 o Executive Director: $900 o VP or Above: $1,000 · 100% employer-paid life and disability insurance · No-cost health and wellbeing programs, including a gym benefit · Six weeks of paid parental leave · Paid Volunteer Time Off, plus a company donation to a charity of your choice WHAT HAPPENS NEXT Express your interest by submitting an application. Our recruiting team will review your application to assess alignment with the role. Visit our careers page to learn more about our culture. OTHER DETAILS Work Environment & Physical Requirements: Extended sitting, standing, and screen time in a hybrid work environment (office and remote). Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace—because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws. California Privacy Notice This notice only applies to our applicants who reside in the State of California. The latest version of our Privacy Policy can be found here . This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended as amended by the California Privacy Rights Act of 2020 (“CCPA”). If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com . United States-California-Irvine", "summaryDescription" : "Sr. Manager, Customer Performance & Insights at Hyundai Capital America. Skills: customer insights, CX analytics, predictive analytics, stakeholder management, leadership. Responsible for delivering a comprehensive, real-time view of customer experience performance across the enterprise. Builds and oversees the full ecosystem of customer feedback to uncover actionable insights, identify experience gaps, and guide business stakeholders toward data-driven, customer-focused improvements.", "createdAt" : "2026-06-14T20:47:45.690", "lastUpdated" : "2026-06-15T13:57:07.233", "ingestTimestamp" : "2026-06-14T20:47:45.690", "mongoId" : "6a0f529b58b93c861e052fca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "SQL", "Python", "leadership", "customer insights, CX analytics, predictive analytics, stakeholder management, leadership", "Customer experience, financing, leasing, insurance solutions.", "Glassbox, Microsoft Office" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 597.83124, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8070f0b99d5843f7ac", "title" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI)", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Science, finance", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T01:41:24.102", "fingerprint" : "a0a8f86e735d71de6c80e70fe1a42ca720a6d9f2aca36de8d4616486288cc249", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139174/apply", "externalId" : "e41ebd80-900e-47dc-9a86-cdc522c8d427", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, SAS, Matlab", "professionalSkills" : [ "Data science", "Business insights", "Customer insights", "Creative", "Communications" ], "hardSkillsList" : [ "Machine learning", "Statistics", "Deep learning", "System architecture", "Optimization", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Quantitative analysis", "Data-driven recommendations", "Analytic products", "Scientific products", "Data science methodologies", "Data science tools" ], "softSkillsList" : [ "Ownership", "Think Big", "Mentors", "Partners" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "System dynamics", "level" : "intermediate" }, { "name" : "System analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reliability analysis", "level" : "intermediate" }, { "name" : "Electronic system design", "level" : "intermediate" }, { "name" : "Decision making", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data-driven recommendations", "level" : "intermediate" }, { "name" : "Analytic products", "level" : "intermediate" }, { "name" : "Scientific products", "level" : "intermediate" }, { "name" : "Data science methodologies", "level" : "intermediate" }, { "name" : "Data science tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Think Big" }, { "name" : "Mentors" }, { "name" : "Partners" } ], "majorSkills" : "Data science, Machine learning, Statistics", "majorSkillsList" : [ "Data science", "Machine learning", "Statistics" ], "coreResponsibilities" : "Demonstrate advanced technical expertise, Provide scientific leadership, Provide technical leadership, Stay current with emerging technologies, Stay current with methodologies, Apply data science techniques, Solve business problems, Guide junior data scientists, Mentor junior data scientists, Share knowledge about scientific advancements, Contribute to technical growth, Work on complex projects, Work on high-impact projects, Influence data science strategy, Influence data science direction, Collaborate across teams, Drive data-driven decision making", "teamCollaboration" : "Collaborating on what else; Collaborating on how might we; Collaborating on how can help", "domainKnowledge" : "Real estate transaction; Space planning; Occupancy planning; Design and construction; Capital investment; Facility maintenance; Operations", "domainList" : [ "real-estate-transaction", "space-planning", "occupancy-planning", "design-and-construction", "capital-investment", "facility-maintenance", "operations" ], "domainSpecificKnowledge" : [ "Real estate transaction", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Facility maintenance", "Operations" ], "communicationSkills" : "Communicating complex ideas", "innovationCreativity" : "Builders; Creators; Innovators", "problemSolvingSkills" : "Problem-solving capabilities; Isolate complex problems; Define complex problems; Resolve complex problems; Implement effective solutions; Implement efficient solutions", "qualificationsBasic" : "5+ years data querying languages, 5+ years scripting languages, 5+ years statistical/mathematical software, 4+ years data scientist experience, Bachelor's degree, Experience in machine learning, Experience in statistics, Experience in deep learning, Knowledge of system architecture, Knowledge of optimization, Knowledge of system dynamics, Knowledge of system analysis, Knowledge of statistical analysis, Knowledge of reliability analysis, Knowledge of electronic system design, Knowledge of decision making, Experience solving complex problems quantitatively, Experience developing actionable data-driven business recommendations, Experience building analytic data products, Experience building scientific data products, Experience leading teams, Experience influencing teams, Experience influencing organization, Experience managing teams, Experience managing team members, Experience coaching team members, Knowledge of existing technologies, Knowledge of developing technologies, Experience communicating complex ideas, Advanced proficiency across multiple data science disciplines, Foundation in data science methodologies, Foundation in data science tools", "qualificationsPreferred" : "Master's Degree with 4+ years relevant experience, Bachelor's Degree with 8+ years relevant experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, space & occupancy planning, design and construction, capital investment program management and facility maintenance and operations for Amazon’s corporate office portfolio across multiple countries. We partner with suppliers to ensure quality, innovation and operational excellence with Amazon’s business and utilize customer driven feedback to continuously improve and exceed employee expectations. Within GREF, the newly formed Global Transformation & Insights (GTI) team is responsible for Customer Insights, Business Insights, Creative, and Communications. We are a group of builders, creators, innovators and go getters. We are customer obsessed, and index high on Ownership. We Think Big, and move fast, and constantly challenge one another while collaborating on \"what else\", \"how might we\", and \"how can I help\". We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity. The ideal Senior Data Scientist candidate thrives in ambiguous environments where the business problem is known, though the technical strategy is not defined. They are able to investigate and develop strategies and concepts to frame a solution set and enable detailed design to commence. They must have strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective and efficient solutions. They should have experience working in large scale organizations – where data sets are large and complex. They should have high judgement with the ability to balance the right data fidelity with right speed with right confidence level for various stages of analysis and purposes. They should have experience partnering with a broad set of functional teams and levels with the ability to adjust and synthesize their approaches, assumptions, and recommendations to audiences with varying levels of technical knowledge. They are mentors and strong partners with research scientists and other data scientists. Key job responsibilities - Demonstrate advanced technical expertise in data science - Provide scientific and technical leadership within the team - Stay current with emerging technologies and methodologies - Apply data science techniques to solve business problems - Guide and mentor junior data scientists - Share knowledge about scientific advancements with team members - Contribute to the technical growth of the organization - Work on complex, high-impact projects - Influence data science strategy and direction - Collaborate across teams to drive data-driven decision making Basic Qualifications: - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Bachelor's degree - Experience in machine learning, statistics, and deep learning - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making - Experience solving complex problems quantitatively and develop actionable data-driven business recommendations - Experience in building analytic or scientific data products or solutions - Experience leading and influencing your team or organization, or experience managing teams - Experience managing and coaching team members - Knowledge of existing and developing technologies - Experience communicating complex ideas to technical and non-technical audiences - Advanced proficiency across multiple data science disciplines - Strong foundation in data science methodologies and tools Preferred Qualifications: - Master's Degree with 4+ years of relevant experience, OR - Bachelor's Degree with 8+ years of relevant experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI) at Amazon.com Services LLC. Skills: Data science, Machine learning, Statistics. Demonstrate advanced technical expertise. Provide scientific leadership", "postedDate" : "2026-06-13T02:11:39.567", "createdAt" : "2026-06-13T02:11:39.567", "lastUpdated" : "2026-06-15T01:41:24.102", "ingestTimestamp" : "2026-06-13T02:11:39.567", "mongoId" : "693c2b8070f0b99d5843f7ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139174/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Statistics", "Deep learning", "System architecture", "Optimization", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Quantitative analysis", "Data-driven recommendations", "Analytic products", "Scientific products", "Data science methodologies", "Data science tools", "Ownership", "Think Big", "Mentors", "Partners", "Data science", "Business insights", "Customer insights", "Creative", "Communications", "Real estate transaction", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Facility maintenance", "Operations" ], "skillCount" : 33, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 597.0578, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 23765, "totalPages" : 476, "hasNext" : true, "hasPrevious" : false } }

Translate Financial Data Into Clear Actionable Insights Jobs in Toronto

Applied Scientist, Financial Insights and Actions

German Financial Translator

German Financial Translator

Sr. Applied Scientist, Financial Insights and Actions

Financial Data Analyst

Associate Director, US Commercial Insights

Financial Insights & Analytics Manager

Retail Data & Consumer Insights Intern

Insights Manager II

Insights Manager II

Internship – Nuclear Insights into Ocean Alkalinity

Client Insights Analyst

Coordinator, Consumer Insights

COMMERCIAL INSIGHTS ANALYST

Data Analyst

Financial Data Application Specialist

Retail Insights Manager

Data Analyst - Financial Crime

Senior Product Manager, Customer Insights

Lead, Finance Insights

Data Engineer, WW Promotions Data and Insights

Cleared Onsite Data Analyst

Director or Associate Director, EU Financial Services (Public Policy)

Analista Pleno de Analytics e Data Insights

Senior Data Analyst, Ads, Sales Enablement & Insights

Business Analyst II, Financial Fraud

Insights and Measurement Lead

Director, Insights and Analytics

Sr. Financial Analyst

Manager, Market Insights

Brand Insights Manager

Senior Social Insights Analyst

Evidence and Insights Manager

Analytics Manager, Partner Insights

Senior Data Engineer - Data Insights

Business Insights Analyst II

Senior Financial Analyst

Senior Sales Insights Analyst

Senior Financial Analyst

Creator Growth & Insights Manager (gn)

Senior Data Analytics Engineer - Data Insights

Consultant, Analytics & Insights

Data Engineering Manager, Planning and Audience Insights

Senior Financial Analyst

Insights Manager, YouTube Marketing

Retail Operations & Insights, Sr. Analyst

Staff Data Scientist - Product

French into Portuguese Financial Banking Translator

Sr. Manager, Customer Performance & Insights

Senior Data Scientist, Global Transformation + Insights, GREF – Global Transformation & Insights (GTI)

Common Questions