{ "count" : 76390, "data" : [ { "id" : "6a2da0b574d8ee00a0c5e860", "title" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory", "company" : "Pwc", "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T12:27:37.501", "fingerprint" : "dcc0cac8319ec8d27b5d623470ad432338c70585e567c3213fb587675233f1a4", "source" : "workday", "applyUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Bengaluru-Millenia/IN-Senior-Associate-Big-Data-Engineer-Data-Analytics-Advisory-Bangalore_736214WD-1", "externalId" : "736214WD", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Bangalore, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor of Engineering", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Scala, Python, AWS, Spark, S3, Glue, EMR, Aurora Postgres, Lambda, Kinesis, kafka, Flink, Apache Iceberg, NIFI", "professionalSkills" : [ "Data, Analytics & AI" ], "hardSkillsList" : [ "Big Data", "AWS", "SQL", "Python", "Scala", "Spark", "S3", "Glue", "EMR", "Aurora Postgres", "Lambda", "Kinesis", "kafka", "Airflow", "DBT", "Flink", "Apache Iceberg", "Datadog", "NIFI" ], "softSkillsList" : [ "Accepting Feedback, Active Listening, Communication, Creativity" ], "hardSkills" : [ { "name" : "Big Data", "level" : "intermediate" }, { "name" : "AWS", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "Scala", "level" : "intermediate" }, { "name" : "Spark", "level" : "intermediate" }, { "name" : "S3", "level" : "intermediate" }, { "name" : "Glue", "level" : "intermediate" }, { "name" : "EMR", "level" : "intermediate" }, { "name" : "Aurora Postgres", "level" : "intermediate" }, { "name" : "Lambda", "level" : "intermediate" }, { "name" : "Kinesis", "level" : "intermediate" }, { "name" : "kafka", "level" : "intermediate" }, { "name" : "Airflow", "level" : "intermediate" }, { "name" : "DBT", "level" : "intermediate" }, { "name" : "Flink", "level" : "intermediate" }, { "name" : "Apache Iceberg", "level" : "intermediate" }, { "name" : "Datadog", "level" : "intermediate" }, { "name" : "NIFI", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Accepting Feedback, Active Listening, Communication, Creativity" } ], "majorSkills" : "Big Data, AWS, SQL, Python, Spark", "majorSkillsList" : [ "Big Data, AWS, SQL, Python, Spark" ], "coreResponsibilities" : "Design and build data infrastructure and systems to enable efficient data processing and analysis. 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You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities :** Working knowledge on big data technologies , Cloud AWS Excellent working knowledge on SQL Proficient with spark and any one or both programming language e.g. Scala and/or Python Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog Experience with snowflake will be a big positive Experience with CI/CD framework implementation in conjunction with any popular code repository like Github **Mandatory skill set s:** * Big Data, AWS, SQL, Python/Scala, Spark, S3, Glue, EMR, Aurora PostGres, Lambda, Kinesis, kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL **Preferred skill sets :** * Snowflake **Years of experience required:** 5-8yrs **Education qualification :** B.Tech / M.Tech / M.E / MCA/B.E **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Big Data **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Senior Associate, Big Data Engineer, Data Analytics, Advisory at Pwc. 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Expertise in feature engineering, embedding optimization, and dimensionality reduction. Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing. Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. Proficiency in LLM optimization techniques including quantization and knowledge distillation. Understanding of MLOps practices for model deployment and monitoring.", "qualificationsPreferred" : "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Track record of publishing or contributing to open-source AI frameworks. Understanding of regulatory, ethical, and societal implications of autonomous AI systems.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Director **Job Description & Summary** At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. _* Why PWC_ At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more _[about us](https://www.pwc.in/about-us.html)_ . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \" **Job Description & Summary: **A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. **Responsibilities:** **Strategic Leadership** * Define and execute the long-term roadmap for Agentic AI and GenAI initiatives. * Identify and prioritize opportunities where autonomous agents and generative AI can drive business value. * Collaborate with executive leadership to align AI strategy with overall business goals. **Must have Technology & Research Oversight** * Lead architecture and hands-on development of intelligent agent frameworks (e.g., goal-driven, tool-using agents). * Oversee the application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases. * Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). • Advanced proficiency in Python. • Extensive experience with LLM frameworks (Hugging Face, Transformers, LangChain) and prompt engineering techniques. Must have: • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph. • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring **T eam Management & Collaboration** * Build, mentor, and scale a world-class team of AI researchers, ML engineers, and product managers. * Foster a strong interdisciplinary culture of innovation and experimentation. * Collaborate cross-functionally with data engineering, product, legal, and design teams. **Operational Excellence** * Oversee data pipelines, model training, inference infrastructure, and model governance. * Establish benchmarks and evaluation protocols for agent behavior, safety, and performance. * Ensure ethical and responsible AI development practices are followed. **Good to have Domain/functional knowledge ** * Experience in financial services domain will be a plus. * Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. **Mandatory skill sets:** GenAI/Agentic technologies (e.g., AutoGPT, LangChain, ReAct, DSPy, etc.). **Preferred skill sets:** * Lang Experience in industries such as finance, consulting * Track record of publishing or contributing to open-source AI frameworks. * Understanding of regulatory, ethical, and societal implications of autonomous AI system **Years of experience required:** 14-17 **Education qualification:** B.Tech / M.Tech / MBA / MCA **Education** _(if blank, degree and/or field of study not specified)_ Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: **Certifications** _(if blank, certifications not specified)_ **Required Skills** Agilent Technologies GeneSpring GX **Optional Skills** Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 50 more} **Desired Languages** _(If blank, desired languages not specified)_ **Travel Requirements** **Available for Work Visa Sponsorship?** **Government Clearance Required?** **Job Posting End Date** June 26, 2026", "summaryDescription" : "Director, Agentic + GenAI, Data & Analytics, Advisory at Pwc. 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Oversee the application of LLMs", "postedDate" : "2026-06-13T20:57:02.451", "createdAt" : "2026-06-14T20:57:02.442", "lastUpdated" : "2026-06-15T06:56:35.892", "ingestTimestamp" : "2026-06-14T20:57:02.442", "mongoId" : "6a2da0b774d8ee00a0c5e94d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pwc.wd3.myworkdayjobs.com/Global_Experienced_Careers/job/Mumbai-Goregaon/IN--Director--Agentic---GenAI--Data---Analytics--Advisory--Mumbai_736299WD-1", "hasSalary" : false, "allSkills" : [ "Agentic AI", "GenAI", "Python", "LLM frameworks", "prompt engineering", "ML development lifecycle", "fine-tuning", "evaluation", "feature engineering", "embedding optimization", "dimensionality reduction", "A/B testing", "experimental design", "statistical hypothesis testing", "RAG systems", "vector databases", "semantic search implementation", "Knowledge graph", "LLM optimization techniques", "quantization", "knowledge distillation", "MLOps practices", "AutoGPT", "LangChain", "ReAct", "DSPy", "Accepting Feedback, Active Listening, Coaching and Feedback, Communication, Creativity", "Agentic AI, GenAI, LLM, Python, Data & Analytics", "Experience in financial services domain will be a plus. Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML. Experience in industries such as finance, consulting.", "AutoGPT, LangChain, ReAct, DSPy, Hugging Face, Transformers, Alteryx (Automation Platform)" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 986.14014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca57974d8ee00a09b6af4", "title" : "Data Lead (Advisory)", "company" : "Alpha Financial Markets Consulting", "industry" : "Consulting", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data role in London, adjusted for the financial consulting industry and company size." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-15T09:31:35.534", "fingerprint" : "d576f2c0cbb1e36badd976fccadbc2bfb27dffd4524ddb90eea9df30d5ee0d25", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/alphafmcroles/jobs/8371737002", "externalId" : "8371737002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Data modelling, Data architecture, Data management, System integration, Data warehousing, BI tools, Data lineage, Cloud data architectures, Modern data stack", "professionalSkills" : [ "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Client advisory", "Technical sales" ], "hardSkillsList" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "System integration planning", "level" : "intermediate" }, { "name" : "Connector/APIs inventories", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "BI reporting", "level" : "intermediate" }, { "name" : "Data migration", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data modelling, Data architecture, System integration, Client advisory", "majorSkillsList" : [ "Data modelling", "Data architecture", "System integration", "Client advisory" ], "coreResponsibilities" : "Own private market data model, Evolve private market data model, Maintain system integration inventories, Manage system integration inventories, Design integration frameworks, Support enterprise performance management solutions, Advise on data warehousing, Advise on BI/reporting, Translate requirements into technical solutions, Support business growth, Oversee scoping of data migration, Oversee design of data migration, Facilitate collaboration between consultants and technology teams, Drive project delivery", "teamCollaboration" : "Management consulting teams; Technical delivery units; Advisory consultants; Technology teams", "projectManagementSkills" : [ "Scoping", "Design" ], "domainKnowledge" : "Private market data; Alternative investment; Financial services; Private equity; Private debt; Credit; Infrastructure; Alternative investments; Private markets", "domainList" : [ "private-market-data", "alternative-investment", "financial-services", "private-equity", "private-debt", "credit", "infrastructure", "alternative-investments", "private-markets" ], "domainSpecificKnowledge" : [ "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets" ], "toolProficiency" : [ "System connectors", "APIs" ], "communicationSkills" : "Client advisory; Simplifying technical concepts; Technical sales", "innovationCreativity" : "Innovations", "problemSolvingSkills" : "Resolve challenges; Address challenges", "outcomesObjectives" : "Drives impactful business decisions", "qualificationsBasic" : "Proven experience in data modelling, Proven experience in data architecture, Proven experience in data management, Knowledge of private market data, Knowledge of alternative investment applications, Hands-on experience with system integration planning, Hands-on experience managing connector/APIs inventories, Familiarity with data warehousing, Familiarity with BI tools, Familiarity with data lineage methodologies, Exceptional communication skills, Skilled in scoping complex data migrations, Skilled in designing complex data migrations, Skilled in scoping complex data integrations, Skilled in designing complex data integrations, Sales-minded approach, Experience supporting technical sales processes, Collaborative, Proactive, Adept at navigating between business and technical teams", "qualificationsPreferred" : "Background in consulting, Background in financial services, Background in technology supporting alternatives/private markets, Experience with BPM/EPM solutions, Knowledge of cloud data architectures, Knowledge of modern data stack technologies", "rawDescription" : "About Alpha Group Alpha Group is a leading global consultancy to the financial services industry. Founded in 2003, Alpha has spent over 20 years bringing together specialist, sector-focused strategy, management consulting, and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives, and insurance industries, Alpha is a trusted advisor for complex change programs. We now have over 1,180 consultants working with clients across North America, the UK, Europe, the Middle East, and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. Many of our team have built long and fulfilling careers with us, often staying for over a decade. Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others, and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues—individuals who are collaborative, innovative, and ambitious. We hope you will join us and help shape the next chapter of our growth journey. About Alpha Alternatives Alpha Alternatives, a part of Alpha Group, is a fast-growing global consulting firm, focused on leading digital and operational transformation projects for the alternative investment industry (consisting of private equity, real estate, private debt, credit, and infrastructure). We are known for our expertise, innovation, and commitment to delivering exceptional value to our clients. Our people work side by side with our clients to help them identify, address, and resolve the key operational and technology challenges within alternative investments and financial services firms. We often find that some of the best innovations come from within, and our role is to help empower client teams to drive the change that is required. Collaborating and supporting our clients are the key attributes we look for in our consultants as well as professionals who have experienced the challenges and enabling technologies firsthand. We’re Hiring: Data Lead – Advisory / Alternative Advisory Are you a technically skilled, business-savvy data professional passionate about alternative investments and private markets? Join our Advisory practice as a Data Lead and play a pivotal role bridging cutting-edge data architecture with strategic consulting. About the Role: As our Alternatives Data Lead, you will own the Private Market data model and architecture best practices, acting as the critical link between management consulting teams and technical delivery units. You will spearhead vendor technical designs, blueprint integration frameworks, and manage an extensive system connector inventory — ensuring seamless data integration and migration that drives impactful business decisions. What You’ll Do: Own and evolve the private market data model with a deep understanding of data lineage and architecture design principles Maintain and manage system integration inventories, staying ahead of technical capabilities and innovations Collaborate with technical teams to design robust integration frameworks and support enterprise performance management solutions Function as a trusted client advisor, simplifying technical concepts around data warehousing and BI/reporting for diverse audiences Support business growth by translating complex requirements into technical solutions and contributing to sales engagements Oversee scoping and design of scalable data migration initiatives Facilitate effective collaboration between advisory consultants and technology teams to drive successful project delivery What We’re Looking For: Proven experience in data modelling, data architecture, or data management within consulting or technology contexts Strong knowledge of private market data and alternative investment applications Hands-on experience with system integration planning and managing connector/APIs inventories Familiarity with data warehousing, BI tools, and data lineage methodologies Exceptional communication skills with the ability to advise both technical and non-technical stakeholders Skilled in scoping and designing complex data migrations and integrations (coding not required) A sales-minded approach with experience supporting technical sales processes Collaborative, proactive, and adept at navigating between business and technical teams Preferred: Background in consulting, financial services, or technology supporting alternatives/private markets Experience with BPM/EPM solutions Knowledge of cloud data architectures and modern data stack technologies Ready to drive data innovation in alternative investments? Apply now to join our expert Advisory practice and shape the future of private market data.", "summaryDescription" : "Data Lead (Advisory) at Alpha Financial Markets Consulting. Skills: Data modelling, Data architecture, System integration, Client advisory. Own private market data model. Evolve private market data model", "postedDate" : "2026-06-14T06:27:10.740", "createdAt" : "2026-06-14T06:27:10.740", "lastUpdated" : "2026-06-15T09:31:35.534", "ingestTimestamp" : "2026-06-14T06:27:10.740", "mongoId" : "6a2ca57974d8ee00a09b6af4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data lineage", "Architecture design", "System integration planning", "Connector/APIs inventories", "Data warehousing", "BI reporting", "Data migration", "Data integration", "Leadership", "Data modelling", "Data architecture", "System integration", "Client advisory", "Strategic consulting", "Technical design", "Integration frameworks", "Enterprise performance management", "Technical sales", "Scoping", "Design", "Private market data", "Alternative investment", "Financial services", "Private equity", "Private debt", "Credit", "Infrastructure", "Alternative investments", "Private markets", "System connectors", "APIs" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 901.29364, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 898.3526, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a2e", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:02:42.899", "fingerprint" : "62d85bfed8594804691ebbd3dd3941c788fcb3483399c1ab71653ea11095b341", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/214c3e5e-694d-43e1-9077-a7ee20b4acb7/application", "externalId" : "214c3e5e-694d-43e1-9077-a7ee20b4acb7", "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" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain business happenings, Explain business reasons, Propose next steps", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership management; Insurance; Home ownership management; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership-management", "insurance", "home-ownership-management", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define analytical problems", "createdAt" : "2026-06-16T00:26:56.317", "lastUpdated" : "2026-06-16T10:35:12.134", "ingestTimestamp" : "2026-06-16T00:26:56.317", "mongoId" : "6a305098f292fd229cef28f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Physical assets", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 887.39276, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30a1e0f292fd229c116c1d", "title" : "Associate Consultant — Workplace Advisory", "company" : "Gallup", "salary" : { "min" : 7500000.0, "max" : 1.1E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Consultant in Tokyo, Japan, with mid-level experience, adjusted for Gallup's company size and the consulting industry." }, "location" : "Tokyo", "locations" : [ "Tokyo" ], "timestamp" : "2026-06-16T12:26:14.116", "fingerprint" : "ce2370e2289ab7194d03a904b455ef66aba0832c2b9d8014822a2408c75a70eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gallup/jobs/4096079009", "externalId" : "4096079009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Be the catalyst for meaningful change. As a client-facing associate consultant at Gallup, you’ll transform organizations’ complicated challenges into positive business outcomes. Collaborating with exceptionally talented team members, you’ll be a highly regarded leader who influences important decision-makers with invaluable insights and advice. What You’ll Do Influence leaders and teams by building deep, trusting relationships with clients Develop expertise in your clients’ business and needs, as well as Gallup’s offerings and services Create and implement complex project plans Provide compelling, innovative and strategic insights and recommendations for maximum organizational performance Turn data insights into actionable steps for leaders Learn how to design lasting solutions that foster growth and impact Who We Want Persuasive communicators who seek to understand clients’ needs, present compelling custom strategies and inspire team members to exceed expectations Exceptional project leaders who have a natural ability to lead client projects — creating detailed project plans, orchestrating resources, managing scope and deadlines, and overseeing many moving pieces to guarantee that each client receives a world-class experience High achievers who thrive in a demanding, fast-paced and goal-oriented environment that offers ongoing development opportunities and the empowerment to work autonomously Strategic thinkers who have a sharp eye for business opportunities and who can discern an organization’s problems, analyze applicable data, weigh risks against rewards and develop creative solutions to produce business growth and increased profitability Authentic relationship builders who easily build rapport, create strong connections, navigate tough conversations and make courageous recommendations that lead to exceptional results What You Need Bachelor’s degree required; master’s degree preferred At least three years of experience in paid professional work in any of the following areas required: complex project management, client management, management consulting, human capital consulting, related consultative business development Full fluency in Japanese with proficiency in English required Track record of leading projects that resulted in positive outcomes for client accounts required Ability to work in our Tokyo office at least three days per week required, with the option to work remotely the remaining days Eligibility to work in Japan required — open to foreign candidates with valid work visas; this position is not eligible for employment-based visa sponsorship What You’ll Experience Mission-driven work: Make a meaningful difference in the world with your unique contributions, commitment to service and exceptional outcomes. An empowering culture: Collaborate with smart, passionate people who love what they do and welcome your ideas, perspectives and experiences. Learning and development: Grow in your career as we invest in what you do best, encourage curiosity and create an environment where it’s safe — and expected — to challenge the status quo. Brand strength, startup energy: Thrive in an innovative environment backed by a trusted brand. A vibrant workplace: Enjoy working in our collaborative office environment in Hamamatsucho — a business area and gateway to the heart of Tokyo — just 20 minutes from the Haneda Airport, surrounded by cafes and restaurants, and with gorgeous views of the iconic Tokyo Tower. About Gallup At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. Gallup offers a robust benefits package that includes competitive pay, health insurance options, life insurance, a retirement savings program, an employee stock ownership program, mass transit reimbursement, family-building benefits, an employee assistance program, and various reimbursements and activities that enhance our associates’ wellbeing. Gallup is an equal opportunity employer. Employment decisions are based on qualifications and business needs. We value diversity and are committed to an inclusive workplace. To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States. Agencies: We are not partnering with agencies for this role, nor will we accept unsolicited résumés or be responsible for any fees or expenses related to such unsolicited résumés and/or applicants. #LI-Hybrid #LI-QC1", "summaryDescription" : "Associate Consultant — Workplace Advisory at Gallup", "postedDate" : "2026-06-16T03:16:43.898", "createdAt" : "2026-06-16T03:16:43.898", "lastUpdated" : "2026-06-16T12:26:14.116", "ingestTimestamp" : "2026-06-16T03:16:43.898", "mongoId" : "6a30a1e0f292fd229c116c1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 884.28937, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c7c74d8ee00a0919231", "title" : "Associate Director, Analytics", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Associate Director in the Media industry in London, UK, adjusted for company size and experience level." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:59:51.263", "fingerprint" : "9ceb36a41eca597ed9591217158dbeef989b6c45505e4905d31c26a4c87b04f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5233840008", "externalId" : "5233840008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com ABOUT OPENMIND OpenMind by WPP is an integrated agency model drawing on talent from across WPP. It has been created to accelerate the European transformation for Nestlé’s media function. Core to the solution is the advanced best data and technology capabilities, fuelled by WPP’s investment in AI, to maximise the impact of Nestlé’s media investment. Role Summary and Impact The Associate Director is an experienced media analyst as part of ZEUR UK team, responsible for developing strong relationships with the UK Nestle team, providing excellent marketing effectiveness skills and have the knowledge/skills to push innovative thinking as well as best in class analysis. You will be an excellent communicator. With 47 countries, +450 team members, and regular new product launches, the account is looking for someone to support Marketing & Campaign analytics for the UK&I market Work with the Analytics Director and cross-functional teams to foster collaboration and champion marketing effectiveness across UK& I. Lead end-to-end analytical projects, with strategic recommendations that drive business impact. Lead the creation of media investment analysis and provide recommendations on a diverse array of channel budget optimization tools and methodologies to be applied across the Nestle portfolio. Leverage Marketing Mix Models and Media Best Practice to advise on optimal investment and scenarios. Advise on channel-mix optimization, and deliver data-driven recommendations to clients, linking business intelligence directly to performance. Calibrate Marketing Mix Model response curves into the agency media planning software. Translate complex analytics into clear, compelling narratives for diverse internal and external audiences. Utilise business results and client learning agendas to optimise campaign design. Design and advise on comprehensive measurement plans for campaigns of varying complexity, including hypotheses, variables, and success metrics. Support measurement setup and proactively identify measurement gaps and lead client communications. Extract, organise, and analyse data from diverse sources (e. g. Campaign performance, social listening, competitive analysis) to distil and distribute actionable insights. Support the client's learning agenda and align media sufficiency principles with local market guidelines. Engage with the broader effectiveness analytics community to share learnings and ensure delivery of agency best practices (e.g., PCAs, experimentation). Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Experience in marketing analytics. Ideal for a media-savvy analyst or an analytically focused planner. Detailed knowledge of media, marketing, and measurement across all channels. Excellent proficiency in Excel, PowerPoint, and common econometrics packages. Proven ability to convert complex analysis into real-world, actionable solutions. A creative problem-solving mentality, focused on providing robust and pragmatic solutions to client challenges. Very strong client-facing skills, with the ability to explain complex analysis clearly, simply, and compellingly. Ability to independently handle routine client requests and present findings internally. Ambitious, determined, and self-motivated, with a high sense of accountability and ownership. A strategic thinker and doer, curious with a strong thirst for continuous learning about technology, trends, and the industry. Ability to thrive in a fast-paced, deadline-driven environment, with a collaborative and partnership mindset. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Associate Director, Analytics at WPP Media. Skills: Data science, Data engineering, ML/AI, Business intelligence", "postedDate" : "2026-06-14T20:04:21.286", "createdAt" : "2026-06-14T20:04:21.286", "lastUpdated" : "2026-06-16T06:59:51.263", "ingestTimestamp" : "2026-06-14T20:04:21.286", "mongoId" : "6a2c6c7c74d8ee00a0919231", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 874.5628, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. 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"llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:29:08.325", "lastUpdated" : "2026-06-16T11:20:53.221", "ingestTimestamp" : "2026-06-16T00:29:08.325", "mongoId" : "6a305930f292fd229cf45a26", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metrics definition", "Report building", "Experiment design", "Direct communication", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Decision making", "Execution", "Car insurance", "Physical assets management", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 823.9729, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8deb74d8ee00a097a497", "title" : "Data Analytics Associate", "company" : "Capricor Therapeutics", "industry" : "Data Science & Solutions", "salary" : { "min" : 75000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Diego - SD3", "locations" : [ "San Diego - SD3" ], "timestamp" : "2026-06-16T06:06:31.202", "fingerprint" : "a0a4e4d15eb1afba7c149250d33f043b6b870b95c13e295d7669fa43db34c4a5", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/capricor/f29602aa-a7bb-49ef-b998-f1b8efa99c44/apply", "externalId" : "f29602aa-a7bb-49ef-b998-f1b8efa99c44", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7174202,-117.1627720" } ], "locationText" : "San Diego, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AWS, Git, Python, R, SQL", "hardSkillsList" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Exploratory analysis", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data workflows, Data integration", "majorSkillsList" : [ "Data analysis", "Data workflows", "Data integration" ], "coreResponsibilities" : "Assist with development, execution, and maintenance of analytical, Work with biological, analytical assay, and research datasets, Perform data extraction, cleaning, harmonization, integration, and troubleshooting, Support RNA-seq and proteomics data preprocessing, quality control,, Support generation of figures, tables, summaries, and technical, Maintain organized, traceable, and reproducible analytical workflows, datasets,, Support maintenance and organization of cloud, database, and, Assist with workflow automation, cloud computing, and data, Investigate data inconsistencies, missing information, and technical issues", "teamCollaboration" : "Cross-functional teams; R&D; Manufacturing; Quality; Data Science personnel", "domainKnowledge" : "Transcriptomics; Proteomics; Cell therapy; Exosome therapy; Rare diseases; Biotechnology; Regulated laboratory/manufacturing environments", "domainList" : [ "transcriptomics", "proteomics", "cell-therapy", "exosome-therapy", "rare-diseases", "biotechnology", "regulated-laboratory-manufacturing-environments" ], "domainSpecificKnowledge" : [ "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments" ], "toolProficiency" : [ "AWS", "Git" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related relevant industry experience may be considered in place of an advanced degree, Experience with R or Python for data analysis, Basic understanding of statistical analysis and data visualization", "qualificationsPreferred" : "Experience with SQL and cloud platforms (AWS) is a plus, Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus, Experience with structured datasets, databases, or version control systems (e. g. , Git) is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Capricor Therapeutics (NASDAQ: CAPR) is a biotechnology company dedicated to advancing transformative cell and exosome-based therapies for rare diseases. At the forefront of our innovation is Deramiocel (CAP-1002), our lead cell therapy in late-stage development for Duchenne muscular dystrophy. We are also harnessing our proprietary StealthX™ exosome platform to unlock new possibilities in targeted delivery and vaccinology. Every program reflects our commitment to pushing the boundaries of science and delivering life-changing treatments to patients and families who need them most. The Data Science & Solutions team is seeking a junior data analytics professional to support research, manufacturing, and analytical data initiatives in a biotechnology environment. ## Responsibilities Assist with development, execution, and maintenance of analytical workflows, scripts, reports, and dashboards Work with biological, analytical assay, and research datasets, including transcriptomics and proteomics data Perform data extraction, cleaning, harmonization, integration, and troubleshooting across multiple data sources and systems Support RNA-seq and proteomics data preprocessing, quality control, and exploratory analyses under guidance from senior scientists Support generation of figures, tables, summaries, and technical documentation for internal reports and presentations Maintain organized, traceable, and reproducible analytical workflows, datasets, and supporting documentation in accordance with internal procedures and SOPs Support maintenance and organization of cloud, database, and shared data storage environments Assist with workflow automation, cloud computing, and data processing activities using tools such as AWS, Git, and scripting languages Investigate data inconsistencies, missing information, and technical issues related to analytical datasets and reporting Collaborate with cross-functional teams including R&D, Manufacturing, Quality, and Data Science personnel ## Preferred Qualifications MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related field; relevant industry experience may be considered in place of an advanced degree. Experience with R or Python for data analysis Familiarity with transcriptomics, RNA-seq, or proteomics datasets Basic understanding of statistical analysis and data visualization Experience with SQL and cloud platforms (AWS) is a plus Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus Experience with structured datasets, databases, or version control systems (e.g., Git) is a plus Strong organizational, communication, and problem-solving skills Strong attention to detail and ability to manage multiple tasks/projects ## Additional Information Why Capricor? Capricor Therapeutics, a trailblazer in cell and exosome therapy, is dedicated to redefining standards of care with innovative treatments rooted in scientific excellence. Guided by integrity and a passion for patient-centered impact, our team is shaping a brighter future for healthcare. Join us and contribute to a mission-driven group that’s transforming lives with every breakthrough. Come Work With Us! At Capricor, you’ll thrive in a collaborative environment that nurtures your professional growth and innovation. Join a dedicated team fueled by a passion for advancing medical science and transforming patient lives through our cutting-edge therapies. Please note that Capricor does not use Skype for interviews or recruiting activities. Candidates will only be contacted by an official Capricor email address which is @capricor.com. Additionally, Capricor will never ask potential employees to send a check or money to the Company for any reason. Notice to Recruiting Agencies Capricor Therapeutics does not accept candidate submissions or referrals from recruiting agencies, staffing firms, or third-party recruiters without expressed consent from Talent Acquisition management and a prior written agreement. Agencies that contact hiring managers directly, solicit business, or submit candidates without this approval will not be considered for any engagement. All such submissions become the property of Capricor Therapeutics, and no fees will be paid for any candidates hired as a result. We appreciate your cooperation and respect for this policy.", "summaryDescription" : "Data Analytics Associate at Capricor Therapeutics. Skills: Data analysis, Data workflows, Data integration. Assist with development, execution, and maintenance of analytical. Work with biological, analytical assay, and research datasets", "postedDate" : "2026-06-11T16:47:18.911", "createdAt" : "2026-06-11T16:47:18.911", "lastUpdated" : "2026-06-16T06:06:31.202", "ingestTimestamp" : "2026-06-14T21:26:08.930", "mongoId" : "6a2c8deb74d8ee00a097a497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data integration", "Data cleaning", "Data preprocessing", "Quality control", "Exploratory analysis", "Workflow automation", "Data processing", "Data workflows", "Transcriptomics", "Proteomics", "Cell therapy", "Exosome therapy", "Rare diseases", "Biotechnology", "Regulated laboratory/manufacturing environments", "AWS", "Git" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 821.16364, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a29", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T12:35:58.569", "fingerprint" : "15e108313d01b6e40f567d4ff9b191646ff50bbdf4feebd9008cd1c86baac9d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Analytical ability" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Analytical ability", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decisions, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance or operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets" ], "toolProficiency" : [ "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:44.020", "lastUpdated" : "2026-06-16T10:30:25.847", "ingestTimestamp" : "2026-06-16T00:27:44.020", "mongoId" : "6a305098f292fd229cef28ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 818.4613, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a27", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:43:32.070", "fingerprint" : "43a66323df1cff8f3c004c4a57897628def0355b6b8d2c85b06b9bd93253b5f7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f/application", "externalId" : "624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Inform business decisions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Complex finding walkthrough; Stakeholder buy-in", "problemSolvingSkills" : "First principles thinking; Ambiguous problem breakdown; Hypothesis formulation", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Inform business decisions", "createdAt" : "2026-06-16T00:28:48.425", "lastUpdated" : "2026-06-16T10:43:32.070", "ingestTimestamp" : "2026-06-16T00:28:48.425", "mongoId" : "6a305930f292fd229cf45a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution", "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 817.8806, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca53b74d8ee00a09b550a", "title" : "Data & Analytics Engineer", "company" : "True Classic", "industry" : "E-Commerce", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data & Analytics Engineer in Calabasas, CA, adjusted for mid-seniority and e-commerce industry." }, "location" : "Calabasas, California, United States", "locations" : [ "Calabasas", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:02:24.906", "fingerprint" : "4cb8ccd16e8ac76cf43a896155e7386d14131af5150e59a8e8bdadf542736a81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trueclassicteesllc/jobs/5238831008", "externalId" : "5238831008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calabasas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1446643,-118.6440970" } ], "locationText" : "Calabasas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize data models and schemas, Implement ETL/ELT processes, Build and manage data warehouses and data lakes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis to drive business insights, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 816.3086, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6a9d74d8ee00a090ce74", "title" : "Experienced Associate - Accounting Advisory", "company" : "Centri Business Consulting", "industry" : "Consulting", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior/Mid-level Accounting Advisory roles in New York, adjusted for consulting industry and company size." }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-15T11:45:37.513", "fingerprint" : "b3922fb41536159bf30c5128411307c1c5bcf40d4179626d0269264f411de289", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centribusinessconsulting/jobs/5082344004", "externalId" : "5082344004", "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" : 5, "experienceLevel" : "Mid", "coreResponsibilities" : "Provide advisory consulting services, Meet client reporting demands, Specialize in financial reporting, Specialize in internal controls, Specialize in technical accounting research, Specialize in valuation, Specialize in mergers", "domainKnowledge" : "Financial reporting; Technical accounting; Valuation", "domainList" : [ "financial-reporting", "technical-accounting", "valuation" ], "domainSpecificKnowledge" : [ "Financial reporting", "Technical accounting", "Valuation" ], "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Centri Business Consulting provides the highest quality advisory consulting services to its clients by being reliable and responsive to their needs. Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Experienced Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. Meet client reporting demands", "postedDate" : "2026-06-14T08:55:46.268", "createdAt" : "2026-06-14T08:55:46.268", "lastUpdated" : "2026-06-15T11:45:37.513", "ingestTimestamp" : "2026-06-14T08:55:46.268", "mongoId" : "6a2c6a9d74d8ee00a090ce74", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Financial reporting", "Technical accounting", "Valuation" ], "skillCount" : 3, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 812.6092, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c934074d8ee00a0987b3d", "title" : "Director, Data Analytics", "company" : "Ōura", "industry" : "Sports & Fitness", "salary" : { "min" : 220000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Analytics in San Francisco, USA, adjusted for the technology industry and company size." }, "location" : "San Francisco, CA, United States", "locations" : [ "San Francisco", "CA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:42:58.885", "fingerprint" : "15b57f9753e73430876f408aa50cebc9709f9cbeb43b6d501e77c9851e30e480", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oura/jobs/4173698009", "externalId" : "4173698009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, ThoughtSpot, Looker, AWS, GCP, Azure, Databricks, BigQuery, Redshift, VertexAI, S3, Delta Lake, MLflow, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face", "professionalSkills" : [ "Data strategy", "Business metrics", "Data governance", "Data products", "Data management", "Data literacy", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Data catalog", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data mesh", "Data quality", "Data integrity", "Unified data mesh", "Global KPIs", "Data dictionary", "Cross-functional collaboration", "Customer journey", "Business domain owners", "Data engineering", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale" ], "hardSkillsList" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "ML frameworks", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data engineering", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "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" }, { "name" : "Query languages", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "BI visualization", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Cloud data services", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data mesh", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Data literacy", "level" : "intermediate" }, { "name" : "Unified data mesh", "level" : "intermediate" }, { "name" : "Global KPIs", "level" : "intermediate" }, { "name" : "Data dictionary", "level" : "intermediate" }, { "name" : "Data catalog", "level" : "intermediate" }, { "name" : "Data products", "level" : "intermediate" }, { "name" : "Data domains", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Lakehouses", "level" : "intermediate" }, { "name" : "Self-serve analytics", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" }, { "name" : "AI agents", "level" : "intermediate" }, { "name" : "Automated insights", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Data residency", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Revenue growth", "level" : "intermediate" }, { "name" : "Career development", "level" : "intermediate" }, { "name" : "Technical excellence", "level" : "intermediate" }, { "name" : "Business impact", "level" : "intermediate" }, { "name" : "Customer journey", "level" : "intermediate" }, { "name" : "Business domain owners", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Unified data analytics", "level" : "intermediate" }, { "name" : "Data technology", "level" : "intermediate" }, { "name" : "Platform unification", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Terabyte scale", "level" : "intermediate" }, { "name" : "Petabyte scale", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution", "majorSkillsList" : [ "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution" ], "coreResponsibilities" : "Drive alignment of analytics standards, Lead high-performing analytics teams, Develop analytics teams, Enable creation of unified data catalog, Design data domains, Manage data domains, Develop data infrastructure platforms, Maintain data infrastructure platforms, Use AI agents for dashboards, Deliver automated insights, Deliver predictive analytics, Deliver anomaly detection, Ensure data governance compliance, Establish data management frameworks, Uphold data quality, Uphold data integrity, Translate data into insights, Enable global KPI metrics dashboard, Champion data management best practices", "teamCollaboration" : "Cross-functional collaboration; Partner with business owners; Partner with data engineering; Partner with data science; Partner with business teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cloud data stacks; Data mesh; Data governance; Data residency; Privacy compliance; Security requirements", "domainList" : [ "cloud-data-stacks", "data-mesh", "data-governance", "data-residency", "privacy-compliance", "security-requirements" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Data mesh", "Data governance", "Data residency", "Privacy compliance", "Security requirements" ], "toolProficiency" : [ "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "communicationSkills" : "Actionable insights; Clear insights", "documentationSkills" : "Governed data dictionary", "innovationCreativity" : "Innovating with emerging data", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Accelerate business growth; Deepen product understanding; Deepen membership understanding; Optimize business operations; Drive business decisions; Drive business outcomes; Improve performance; Improve efficiency; Improve revenue; Shape future growth", "qualificationsBasic" : "10+ years leadership, 5+ years managing managers, SQL proficiency, Analytics tools proficiency, AWS/GCP/Azure familiarity, Databricks/BigQuery/Redshift familiarity", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. Lead high-performing analytics teams", "postedDate" : "2026-06-14T08:44:20.731", "createdAt" : "2026-06-14T08:44:20.731", "lastUpdated" : "2026-06-15T08:42:58.885", "ingestTimestamp" : "2026-06-14T08:44:20.731", "mongoId" : "6a2c934074d8ee00a0987b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale", "Leadership", "Mentoring", "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution", "Data strategy", "Business metrics", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Cross-functional collaboration", "Privacy compliance", "Security requirements", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "skillCount" : 92, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 806.8795, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079d6f292fd229c0357e2", "title" : "Senior Associate, Transaction Advisory Services", "company" : "Aprio", "industry" : "Finance Advisory", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Transaction Advisory Services in Atlanta, adjusted for a Senior Associate role at a mid-sized firm in the Financial Services industry." }, "location" : "Atlanta, GA", "locations" : [ "Atlanta, GA" ], "certifications" : [ "CFA", "CPA", "MBA" ], "timestamp" : "2026-06-16T10:48:12.401", "fingerprint" : "e610cca78e15a7fb625adeadc424c8ac386f86d9f7875dd33862d542c85116be", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/Aprio/7e18fdff-9213-4ef4-9824-7abfdb1b89a9/apply", "externalId" : "7e18fdff-9213-4ef4-9824-7abfdb1b89a9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 3, "experienceLevel" : "Senior", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Financial modeling", "Valuation", "Transaction advisory" ], "hardSkillsList" : [ "Financial analysis", "Accounting principles" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Accounting principles", "level" : "intermediate" } ], "majorSkills" : "Transaction advisory, Financial modeling, Valuation", "majorSkillsList" : [ "Transaction advisory", "Financial modeling", "Valuation" ], "coreResponsibilities" : "Assist with financial due diligence, Perform valuation analyses, Prepare client deliverables, Support deal execution, Conduct market research, Analyze financial statements, Develop financial models, Communicate findings to clients", "teamCollaboration" : "Cross-functional teams; Client engagement teams", "domainKnowledge" : "Mergers and acquisitions; Financial reporting; Accounting standards", "domainList" : [ "mergers-and-acquisitions", "financial-reporting", "accounting-standards" ], "domainSpecificKnowledge" : [ "Mergers and acquisitions", "Financial reporting", "Accounting standards" ], "toolProficiency" : [ "Bloomberg Terminal", "Capital IQ" ], "communicationSkills" : "Client presentations; Written reports", "documentationSkills" : "Financial reports", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "2-3 years experience", "qualificationsPreferred" : "CFA charterholder preferred, CPA license preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's (Insert Team) team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a (Title) to join their dynamic team. ## Responsibilities Compiling and analyzing historical financial data/financial statements provided by the buyer and/or seller. Commenting on client sellers and client targets’ financial operating results and financial position by highlighting significant business profitability trends and overly aggressive accounting policies. Understanding customer and vendor trends and other key transaction risk considerations. Proactively participating in meetings with Aprio client service team and management of client. Analyzing the cash flow impact of capital expenditures and working capital trends and changes. Creating and designing tailored transaction advisory reports addressing significant transaction consideration matters and issues. Continuously fostering relationships with coworkers (through all services lines and industry groups of Aprio) and clients (both strategics and private equity). Participating in a work environment that values and promotes camaraderie, collaboration and giving back to the community. Traveling approximately up to 15% of the time while upholding Aprio’s values and reputation. ## Qualifications Bachelor’s degree in accounting or finance Licensed CPA is a plus Understanding and applying Excel, PowerPoint and Word skills Demonstrating poise working with private equity and corporate executives Positive attitude, strong work ethic and excellent interpersonal and relationship building skills Working effectively and personably with a diverse group Strong written and verbal communication and presentation skills 2 – 3-year experience in Audit, Finance or Transaction Advisory Services Displaying adequate knowledge of US GAAP ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Transaction Advisory Services at Aprio. Skills: Transaction advisory, Financial modeling, Valuation. Assist with financial due diligence. Perform valuation analyses", "postedDate" : "2026-06-15T19:36:24.667", "createdAt" : "2026-06-15T19:36:24.667", "lastUpdated" : "2026-06-16T10:48:12.401", "ingestTimestamp" : "2026-06-16T03:25:30.153", "mongoId" : "6a3079d6f292fd229c0357e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Accounting principles", "Transaction advisory", "Financial modeling", "Valuation", "Mergers and acquisitions", "Financial reporting", "Accounting standards", "CFA", "CPA", "MBA", "Bloomberg Terminal", "Capital IQ" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 806.83435, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## 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" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 802.1595, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9d74d8ee00a090ce7c", "title" : "Senior Associate - Accounting Advisory", "company" : "Centri Business Consulting", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Associate in Accounting Advisory in Tampa, adjusted for junior seniority and consulting industry." }, "location" : "Tampa, Florida, United States", "locations" : [ "Tampa", "Florida", "United States" ], "timestamp" : "2026-06-15T05:27:18.409", "fingerprint" : "ba0fefb805c6383db0b2355153e524855f4bcfe2b6321bbb8b7d1b6a43765dab", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centribusinessconsulting/jobs/5765507004", "externalId" : "5765507004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Provide advisory consulting services, Meet client reporting demands, Specialize in financial reporting, Specialize in internal controls, Specialize in technical accounting research, Specialize in valuation, Specialize in mergers", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Centri Business Consulting provides the highest quality advisory consulting services to its clients by being reliable and responsive to their needs. Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Experienced Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. Meet client reporting demands", "postedDate" : "2026-06-14T03:16:45.778", "createdAt" : "2026-06-14T03:16:45.778", "lastUpdated" : "2026-06-15T09:20:07.886", "ingestTimestamp" : "2026-06-14T03:16:45.778", "mongoId" : "6a2c6a9d74d8ee00a090ce71", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 786.73706, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream management", "Prioritize tasks", "Delivery timelines", "Data transformation", "Data models", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation", "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "skillCount" : 52, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 786.30743, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca3ba74d8ee00a09ad615", "title" : "Data Analytics Manager", "company" : "Hasbro", "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:13:43.590", "fingerprint" : "259771a41afffa415d14f4530898ec10a1175559576952377e5c4e411be76c58", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4249885009", "externalId" : "4249885009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "R, Python, SQL", "professionalSkills" : [ "Knowledge of and familiarity with games such as Magic: The Gathering." ], "hardSkillsList" : [ "R", "Python", "SQL" ], "softSkillsList" : [ "Self-directed, attention to detail" ], "hardSkills" : [ { "name" : "R", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed, attention to detail" } ], "majorSkills" : "Data Analysis, Team Leadership, SQL, R, Python", "majorSkillsList" : [ "Data Analysis, Team Leadership, SQL, R, Python" ], "coreResponsibilities" : "Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. Communicate findings to partners using clear visuals and concise communication. Handle ad-hoc queries from leadership and partner with them to strategize about the business. Lead a team of 3-5 other data analysts.", "teamCollaboration" : "Collaborate with product strategy, sales, finance, business strategy, and economics. Partner with economists and financial analysts. Incorporate stakeholder feedback into analytics. Work with technical teams to evaluate and communicate data needs. Lead a team of 3-5 other data analysts.", "projectManagementSkills" : [ "drive projects to completion", "prioritize stakeholder requests" ], "communicationSkills" : "clear visuals; concise communication; communicate data needs", "documentationSkills" : "document processes", "continuousLearning" : "Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.", "problemSolvingSkills" : "pricing; inventory; revenue recognition; business strategies; areas of growth", "outcomesObjectives" : "Support the strategy of our worldwide teams making and build your career.", "qualificationsBasic" : "Bachelor's degree in finance, business, data science, economics, or another quantitative field. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail.", "qualificationsPreferred" : "Graduate degree is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That's where you come in! This role will partner closely with product strategy, sales, finance, business strategy, and economics to support Magic: The Gathering's growth! Through your reporting and insights, you will support the strategy of our worldwide teams making and build your career. What You'll Do: Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines. Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers. Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used. Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available. Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data. What You'll Bring: Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus. 7+ years of relevant work experience, including at least 2 years of experience leading a team. Experience using R, python, or similar tools to conduct data analysis. Working knowledge of SQL. Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes. Impeccable attention to detail. Knowledge of and familiarity with games such as Magic: The Gathering. We are an Equal Opportunity Employer Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator. #WIZARDS The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $125,900—$188,900 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "Data Analytics Manager at Hasbro. Skills: Data Analysis, Team Leadership, SQL, R, Python. Analyze profitability opportunities related to pricing, inventory, play, and revenue recognition. Build models to explore different business strategies and identify areas of growth. 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: "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Deliver creative solutions", "problemSolvingSkills" : "Solve analytics challenges", "qualificationsBasic" : "Data analysis from requirements gathering to deployment, Communicate technical concepts to wide audience, Data transformation and modelling, Formulate conclusions and recommendations, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. 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Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. 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What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. 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Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define metrics. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, a repair marketplace, and home. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. WHY WE’RE HIRING Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former MBB consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then driving our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are adding a few new members to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. WHY YOU WILL (OR WON'T) LIKE WORKING HERE - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done here is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. You will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. WHAT YOU'LL OWN You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core product or business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. WHO YOU ARE - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. WHAT YOU'LL BRING - 3+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous analytical problems and driving them to a business outcome. - Clear, persuasive communicator who can influence decisions at the leadership level. OUR TOOLS SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-14T20:12:41.484", "lastUpdated" : "2026-06-16T06:15:15.391", "ingestTimestamp" : "2026-06-14T20:12:41.484", "mongoId" : "6a2c8d6a74d8ee00a0978def", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "Owner", "BizOps", "Analytics", "Problem solving", "Data insights", "First principles thinking", "Data analysis", "Decision making", "Analytical insights", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 774.269, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a33", "title" : "Associate Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:15:43.664", "fingerprint" : "5fce045c9e55bf76a8d08df9daedc15a04f5c6403bde8105efb2fdcad8b7cdb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/57a4e391-8914-4a8b-ab8b-8bd981e53464/application", "externalId" : "57a4e391-8914-4a8b-ab8b-8bd981e53464", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Experiment design" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell them what's happening and why, Drive teams towards next goal", "teamCollaboration" : "Embedded in business areas; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive decisions; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Define metrics", "createdAt" : "2026-06-16T00:25:26.525", "lastUpdated" : "2026-06-16T12:12:35.130", "ingestTimestamp" : "2026-06-16T00:25:26.525", "mongoId" : "6a305098f292fd229cef28f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Data Science", "Analytics", "Analytical ability", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 772.13257, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308ec6f292fd229c0a5233", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T12:11:05.693", "fingerprint" : "81ee7f4e2558044287af2e77108fcab58e5757ca417bb6bd10f72187c7aa8758", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving activities, Participate in root cause analysis activities, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries of findings, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-16T03:34:20.306", "lastUpdated" : "2026-06-16T12:11:05.693", "ingestTimestamp" : "2026-06-16T03:34:20.306", "mongoId" : "6a308ec6f292fd229c0a5233", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 771.5756, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f24f292fd229cee57da", "title" : "Data Analytics & Engineering INTERN", "company" : "Western Digital", "industry" : "Computer Hardware", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Data Analytics & Engineering Intern in Biñan, Philippines, adjusted for the technology industry and internship role." }, "location" : "Biñan, LAGUNA, PH", "locations" : [ "Biñan", "LAGUNA", "PH" ], "timestamp" : "2026-06-16T04:35:28.813", "fingerprint" : "ef3e0f9d2b5464e255e116bd3a61dd5dcef426cbad4f6ace0c77ac76fc5ab58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/WesternDigital/744000132106259-data-analytics-engineering-intern", "externalId" : "744000132106259", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Biñan", "state" : "Laguna", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.3388259,121.0841826" } ], "locationText" : "Biñan, Laguna, Philippines", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "Python, R, SQL, Power BI, Tableau", "hardSkillsList" : [ "Statistical modeling", "Machine learning basics", "ETL processes" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning basics", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Data Engineering" ], "coreResponsibilities" : "Analyze engineering and manufacturing data, Identify trends, issues, and improvement opportunities, Support process monitoring, Support process optimization, Support process documentation, Work with engineers on experiments, Work with engineers on tests, Work with engineers on technical evaluations, Develop dashboards for operational metrics, Develop dashboards for process metrics, Develop reports for operational metrics, Develop reports for process metrics, Participate in problem-solving, Participate in root cause analysis, Contribute to design of experiments, Contribute to statistical studies, Support data cleaning, Support data validation, Support ETL-related tasks, Prepare technical summaries, Prepare presentations of findings", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Advanced manufacturing; Process engineering; Data-driven problem solving; Precision mechanics; Manufacturing processes; Thin-film processes; Contamination control; Metrology tools", "domainList" : [ "advanced-manufacturing", "process-engineering", "data-driven-problem-solving", "precision-mechanics", "manufacturing-processes", "thin-film-processes", "contamination-control", "metrology-tools" ], "domainSpecificKnowledge" : [ "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Written communication; Verbal communication; Technical summaries; Presentations", "documentationSkills" : "Process documentation", "continuousLearning" : "Mentorship; Development curriculum", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Analytical and problem-solving skills, Ability to work with large datasets, Ability to work with technical information", "qualificationsPreferred" : "Basic knowledge of precision mechanics, Basic knowledge of manufacturing processes, Familiarity with thin-film processes, Familiarity with contamination control concepts, Understanding of metrology tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2–6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving. Key Responsibilities * Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities * Support process monitoring, optimization, and documentation activities * Work with engineers on experiments, tests, and technical evaluations * Help develop dashboards and reports for operational and process metrics * Participate in problem-solving and root cause analysis activities * Contribute to design of experiments (DOE) and statistical studies * Support data cleaning, validation, and ETL-related tasks * Prepare technical summaries and presentations of findings * Collaborate with cross-functional teams on assigned projects This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum ## Qualifications * Currently pursuing a Bachelor’s degree or has equivalent experience in any of the following majors or related programs: * Computer Science * Data Science * Industrial Engineering * Statistics * Physics * Mechanical Engineering / Mechatronics * Materials Science * Manufacturing Engineering * Strong analytical and problem-solving skills * Good written and verbal communication skills * Ability to work with large datasets and technical information * Detail-oriented with a structured and organized approach to tasks * Able to work both independently and collaboratively in a team environment Technical Skills (Preferred — not all required) * Basic knowledge of precision mechanics and manufacturing processes * Familiarity with thin-film processes and contamination control concepts * Understanding of metrology tools (e.g., AFM, profilometry) is a plus Exposure to: * Design of Experiments (DOE) * Statistical Process Control (SPC) * Failure analysis methods Programming / Analytics Tools: * Python or R * SQL Data & Reporting Tools: * Power BI or Tableau * Data visualization techniques Fundamentals of: * Statistical modeling * Machine learning basics * ETL processes What Interns Will Gain * Hands-on experience with real engineering and data projects * Exposure to advanced manufacturing and process technologies * Mentorship from experienced engineers and technical leaders * Practical experience with industry tools and analytics platforms * Opportunity to present project results to stakeholders ## Additional Information Important Reminders: * We provide free medical examination. * We do not collect any original requirements. * We do not collect any fees at any stage of the hiring process. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@wdc.com](mailto:staffingsupport@wdc.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to [WD Ethics Helpline](https://secure.ethicspoint.com/domain/media/en/gui/48999/index.html) or email [compliance@wdc.com](mailto:compliance@wdc.com).", "summaryDescription" : "Data Analytics & Engineering INTERN at Western Digital. Skills: Data Analytics, Data Engineering. Analyze engineering and manufacturing data. Identify trends, issues, and improvement opportunities", "postedDate" : "2026-06-15T02:47:15.000", "createdAt" : "2026-06-15T21:31:38.376", "lastUpdated" : "2026-06-16T04:35:28.813", "ingestTimestamp" : "2026-06-15T21:31:38.376", "mongoId" : "6a304f24f292fd229cee57da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning basics", "ETL processes", "Data Analytics", "Data Engineering", "Advanced manufacturing", "Process engineering", "Data-driven problem solving", "Precision mechanics", "Manufacturing processes", "Thin-film processes", "Contamination control", "Metrology tools", "Power BI", "Tableau" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 771.5756, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9d74d8ee00a090ce70", "title" : "Experienced Associate - Accounting Advisory", "company" : "Centri Business Consulting", "industry" : "Consulting", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior/Mid-level Accounting Advisory roles in Atlanta, adjusted for consulting industry and company size." }, "location" : "Atlanta", "locations" : [ "Atlanta" ], "timestamp" : "2026-06-15T07:15:46.302", "fingerprint" : "c7f794fa40fc21fe9fdd8af7d12f5d266474857ee092ca75618ddc7f0a7e9ef7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centribusinessconsulting/jobs/5684490004", "externalId" : "5684490004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "coreResponsibilities" : "Provide advisory consulting services, Meet client reporting demands, Specialize in financial reporting, Specialize in internal controls, Specialize in technical accounting research, Specialize in valuation, Specialize in mergers", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Centri Business Consulting provides the highest quality advisory consulting services to its clients by being reliable and responsive to their needs. Centri provides companies with the expertise they need to meet their reporting demands. Centri specializes in financial reporting, internal controls, technical accounting research, valuation, mergers at least 1 in public accounting or professional services highly preferred. This position is an exempt position as it relates to the fair labor standards Act. Centri provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #LI-Hybrid", "summaryDescription" : "Experienced Associate - Accounting Advisory at Centri Business Consulting. Provide advisory consulting services. Meet client reporting demands", "postedDate" : "2026-06-13T20:07:15.278", "createdAt" : "2026-06-13T20:07:15.278", "lastUpdated" : "2026-06-15T07:15:46.302", "ingestTimestamp" : "2026-06-13T20:07:15.278", "mongoId" : "6a2c6a9d74d8ee00a090ce70", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 767.4898, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7add74d8ee00a09471fe", "title" : "Intermediate Data Analytics", "company" : "AB InBev", "industry" : "Food & Beverage", "salary" : { "min" : 115000.0, "max" : 175000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics roles in Brazil, adjusted for mid-seniority, the food & beverage industry, and the city tier of Campinas." }, "location" : "Campinas, São Paulo, Brazil", "locations" : [ "Campinas", "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T09:49:44.024", "fingerprint" : "2d47a7e473887ca103d16b45a16c152f654f1acf2b8936fce924b05d0a2c98ee", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/abinbev/jobs/8590377002", "externalId" : "8590377002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Campinas", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-22.9056391,-47.0595640" } ], "locationText" : "Campinas, São Paulo, Brazil", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, DAX, Power BI", "professionalSkills" : [ "Data modeling", "Data visualization", "User-centric design", "Business strategies", "Ad hoc analysis", "Critical thinking" ], "hardSkillsList" : [ "Statistical analysis", "Data storytelling" ], "softSkillsList" : [ "Storytelling", "Resilient", "Strategic thinking" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data storytelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Storytelling" }, { "name" : "Resilient" }, { "name" : "Strategic thinking" } ], "majorSkills" : "Data Analytics, Business Intelligence, Power BI, SQL", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Power BI", "SQL" ], "coreResponsibilities" : "Design BI solutions, Model BI solutions, Maintain BI solutions, Query large datasets, Clean large datasets, Analyze large datasets, Transform findings into narratives, Apply data visualization best practices, Apply user-centric design, Deliver actionable dashboards, Deliver actionable reports, Collaborate with international teams, Partner with stakeholders, Deliver insights, Solve business challenges, Solve data challenges, Identify trends, Identify root causes, Identify opportunities", "teamCollaboration" : "International teams; Cross-functional stakeholders; Cross-functional teams", "domainKnowledge" : "BEES Personalization", "domainList" : [ "bees-personalization" ], "domainSpecificKnowledge" : [ "BEES Personalization" ], "toolProficiency" : [ "Power BI", "SQL" ], "communicationSkills" : "English communication; Explain complex concepts", "problemSolvingSkills" : "Root cause analysis; Data exploration", "outcomesObjectives" : "Drive business decision-making; Support informed decision-making", "qualificationsBasic" : "BAS/MS in Math, BAS/MS in Economics, BAS/MS in Statistics, BAS/MS in Engineering, BAS/MS in Computer Science, Advanced knowledge of Power BI, Advanced expertise in SQL, Intermediate English", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "rawDescription" : "About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. What you'll do: Design, model, and maintain end-to-end BI solutions in Power BI, including data modeling, DAX calculations, report building, and interactive dashboards that drive business decision-making. Use SQL to query, clean, and analyze large datasets, ensuring accuracy and reliability of the data used in reporting. Transform analytical findings into compelling narratives that connect data insights with business strategies for both technical and non-technical stakeholders. Apply best practices in data visualization and user-centric design to deliver impactful, intuitive, and actionable dashboards and reports. Collaborate with international teams as part of a global project, leveraging advanced English communication skills to ensure alignment, standardization, and knowledge sharing across regions. Partner with cross-functional stakeholders to deliver high-quality, actionable insights under tight deadlines with a proactive and solution-oriented mindset. Solve complex business and data challenges through ad hoc analysis, identifying trends, root causes, and opportunities by combining data exploration, critical thinking, and business context to support informed decision-making. What you'll need: BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other related quantitative field. Advanced knowledge of Power BI (data modeling, DAX, report building, and dashboard design). Advanced expertise in SQL for querying and data preparation. Intermediate English (spoken and written) to effectively communicate insights with international stakeholders. Knowledge of statistics and statistical analysis techniques. Strong skills in data storytelling: ability to craft clear narratives that connect data insights to business strategy, ensuring stakeholders easily understand and act on the information. Understanding of data visualization best practices, design principles, and user-centric dashboards. Ability to translate complex datasets into insightful, visually compelling, and actionable reports. Organized and detail-oriented, capable of delivering under tight timelines while ensuring quality. Proactive, solution-oriented mindset with strong collaboration skills to work across cross-functional teams. More about you: Communication skills, with the ability to explain complex concepts clearly to both technical and non-technical audiences. Storytelling mindset, connecting data insights to business impact compellingly. Collaborative approach, working effectively with cross-functional and international teams while building trust and alignment. Detail-oriented, ensuring accuracy, reliability, and high-quality standards in all deliverables. Adaptable and resilient, comfortable managing tight deadlines and shifting priorities. Strategic thinking, always connecting insights to business outcomes and long-term goals. What We Offer: Performance-based bonus* Attendance Bonus* Private pension plan Meal Allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com", "summaryDescription" : "Intermediate Data Analytics at AB InBev. Skills: Data Analytics, Business Intelligence, Power BI, SQL. Design BI solutions. 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Client stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "MLflow", "Spark" ], "communicationSkills" : "Client presentations; Technical documentation", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data-driven decision making; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics or related field, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, Azure, GCP), Experience with BI tools (Tableau, Power BI), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with MLOps practices, Experience with data modeling techniques, Experience with statistical analysis and experimental design (A/B testing), Experience with Python or R for data analysis and modeling", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Work with a Top 20 CPA and advisory firm that Accounts for Anything. Aprio has 40 U.S. office locations, as well as international office locations and more than 3,200 team members that speak 60+ languages across the globe. By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing industries, Aprio ensures clients are prepared for wherever life or business may take them. Discover a top-rated culture, vast growth opportunities and your next big career move with Aprio. Join Aprio's Advisory team and you will help clients maximize their opportunities. Aprio Advisory Group, LLC is a progressive, fast-growing firm looking for a Senior Associate to join their dynamic team. We are looking for an AI Strategy Senior Associate to join our Data & AI practice within Aprio's Technology Advisory group. In this role, you will help clients move from Data and AI ambition to applied, business-driven solutions: assessing where AI can create value, shaping the roadmap to get there, and building the proof-of-concept solutions and demos that demonstrate it. You will work at the intersection of business strategy, business analysis, and technical execution, partnering with clients across our transformation journey, from Assess & Strategize and Integrate & Modernize through Optimize & Build and Deploy & Scale. This role suits an early-career professional with applied AI experience who wants to stay hands-on with solution development while growing into client-facing advisory work. This position is a heavy in person customer facing role that requires travel and interaction with customers across the US. ## Responsibilities AI strategy and assessment Conduct AI readiness assessments and data maturity evaluations that help clients understand their current capabilities and see where AI and automation can support value creation. Translate business challenges into prioritized Data and AI use cases and help shape transformation roadmaps that align technology investments with client objectives. Research emerging AI capabilities (large language models, machine learning, data management, generative AI, and agentic AI) and explain them in clear, accessible terms for non-technical stakeholders. Solution design and delivery Design and prototype agentic AI solutions across our core solution types: document processing and workflow automation; automated communication and prediction analytics; system integration and data synchronization; real-time external data validation; and business intelligence with work prioritization. Build proof-of-concept solutions and demos that help business teams explore the potential of Data and AI and analytics approaches, applying a structured approach to comparing models and options so recommendations are well-reasoned. Support SOW-based engagement delivery across discovery, kickoff, weekly status, and final delivery, contributing alongside the delivery team. Responsible AI and governance Help clients adopt AI responsibly, sustainably, and compliantly, building appropriate safeguards and monitoring into solution design. Contribute to AI and data governance frameworks that promote responsible, sustainable, and compliant use of AI. Client partnership Act as a bridge between technical and business domains, the role our team calls a Data Translator / Business Engineer, turning technical detail into business value. Partner with business stakeholders to understand their needs and help translate them into data- and AI-driven solutions. Present concepts and findings to business audiences in clear language, including through workshops and working sessions. ## Required Qualifications Bachelor’s or Master’s degree in Computer science, Data Science, Engineering, or a related quantitative field. 3+ years of applied AI, data management, or machine learning experience. Strong internship, research, or academic project work is welcome in place of full-time experience. Hands-on experience building AI or machine learning solutions, including work with large language models, natural language processing (NLP), or agentic AI approaches. Strong programming skills in Python, with experience using modern AI development tools. Ability to move between technical detail and business value, and to communicate clearly with non-technical stakeholders. Strong analytical and problem-solving skills, with a structured, well-tested approach to AI work. ## Preferred Qualifications Experience with agentic or autonomous agent design and AI-assisted development workflows. Exposure to taking AI or machine learning solutions beyond a notebook toward deployment, for example through a major cloud platform, containerization, or basic monitoring, gained via internships, research, or coursework. Exposure to responsible AI practices such as model evaluation, explainability, and fairness or drift checks. Familiarity with business intelligence tools (for example, Power BI or Tableau) and modern data platforms (for example, Snowflake, Databricks, or Spark). Exposure to client business systems and ERPs (NetSuite, QBO/IES, Acumatica, or Sage) is a plus. Interest in client-facing advisory work and a helpful, customer-oriented approach. ## Additional Information Why work for Aprio: Whether you are just starting out, looking to advance into management or searching for your next leadership role, Aprio offers an opportunity to grow with a future-focused, innovative firm. Perks/Benefits we offer for full-time team members: - Medical, Dental, and Vision Insurance on the first day of employment - Flexible Spending Account and Dependent Care Account - 401k with Profit Sharing - 9+ holidays and discretionary time off structure - Parental Leave – coverage for both primary and secondary caregivers - Tuition Assistance Program and CPA support program with cash incentive upon completion - Discretionary incentive compensation based on firm, group and individual performance - Incentive compensation related to origination of new client sales - Top rated wellness program - Flexible working environment including remote and hybrid options What’s in it for you: - Working with an industry leader: Be part of a high-growth firm that is passionate for what’s next. - An awesome culture: Thirty-one fundamental behaviors guide our culture every day ensuring we always deliver an exceptional team-member and client experience. We call it the Aprio Way. This shared mindset creates lasting relationships between team members and with clients. - A great team: Work with a high-energy, passionate, caring and ambitious team of professionals in a collaborative culture. - Entrepreneurship: Have the freedom to innovate and bring your ideas to help us grow to become the CPA firm of choice nationally. - Growth opportunities: Grow professionally in an environment that fosters continuous learning and advancement. - Competitive compensation: You will be rewarded with competitive compensation, industry-leading benefits and a flexible work environment to enjoy work/life balance. EQUAL OPPORTUNITY EMPLOYER Aprio is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex; pregnancy; sexual orientation; gender identity and/or expression; age; disability; genetic information, citizenship status; military service obligations or any other category protected by applicable federal, state, or local law. Aprio, LLP and Aprio Advisory Group, LLC, operate in an alternative business structure, with Aprio Advisory Group, LLC providing non-attest tax and consulting services, and Aprio, LLP providing CPA firm services.", "summaryDescription" : "Senior Associate, Data & AI Advisory at Aprio. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data-driven solutions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:30:02.999", "lastUpdated" : "2026-06-16T12:56:16.630", "ingestTimestamp" : "2026-06-16T00:30:02.999", "mongoId" : "6a305098f292fd229cef28e5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Data analysis", "Car insurance", "Driving insights", "Repair marketplace", "Home insurance", "Motorcycle insurance", "RV insurance", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 19, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 755.71423, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca42974d8ee00a09b06c1", "title" : "Senior Data / Analytics Engineer", "company" : "Metro Vein Centers", "industry" : "Healthcare", "salary" : { "min" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "West Bloomfield, Michigan, United States", "locations" : [ "West Bloomfield", "Michigan", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:08:33.890", "fingerprint" : "c7d74f7b3f5b9e144d0e12e1191ebf69a4b087a5101032152837ca84c9251e4b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metroveincenters/jobs/4249713009", "externalId" : "4249713009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "workMode" : "remote" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Statistical modeling" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement ETL/ELT processes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis and generate insights, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay updated with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with specific ML frameworks, Experience with cloud platforms", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Metro Vein Centers is a rapidly growing healthcare practice specializing in state-of-the-art vein treatments. Our board-certified physicians and expert staff are on a mission to improve people’s quality of life by relieving the painful, yet highly treatable symptoms of vein disease—such as varicose veins and heavy, aching legs. With over 60 clinics across 7 states, and still growing, we’re building the future of vein care—delivering compassionate, results-driven care in a modern, patient-first environment. We proudly maintain a Net Promoter Score (NPS) of 93, the highest patient satisfaction in the industry. Location: NYC preferred or Remote | Full-time Experience: 5-8+ years in analytics engineering, modern data stack architecture, or data platform engineering Compensation: $150,000 DOE + bonus About Us Metro Vein Centers is a rapidly expanding healthcare organization with 70+ clinics across 8 states. We are a highly data-driven business operating at the intersection of healthcare, performance marketing, operations, and technology. As the organization has scaled rapidly, so has the complexity of our data ecosystem. We are now entering the next phase of maturity: building a scalable, governed, AI-ready data foundation that can support the future growth of the business. We are looking for a Senior Analytics Engineer to help lead that evolution. About the Role This is a foundational role within the Tech & Data organization, reporting directly to the Director of Tech & Data. You will help modernize and scale our data architecture across marketing, operations, finance, sales, and clinical systems while maintaining continuity for existing reporting, analytics, and business operations. This role is ideal for someone who thrives in high-growth environments and enjoys bringing structure, reliability, governance, and scalability to complex and evolving data ecosystems. You will play a central role in rebuilding and organizing our data foundation, establishing standards and architecture patterns, improving transformation and modeling practices, and helping create a modern healthcare data platform designed for long-term scale and AI-enabled workflows. This is not a pure backend engineering role. We are looking for someone who combines strong analytics engineering and warehouse architecture experience with practical business judgment and modern data stack expertise. What You’ll Own Data Architecture & Modernization Help design and implement a scalable modern data architecture within Google BigQuery Rebuild and organize fragmented data structures into standardized, maintainable models Establish naming conventions, modeling standards, lineage, and governance frameworks Help separate and structure sensitive vs non-sensitive data appropriately in a HIPAA-conscious environment Partner with leadership to define long-term warehouse and transformation architecture strategy Improve scalability and maintainability without disrupting existing business operations Analytics Engineering & Data Modeling Own and expand our dbt transformation layer and modeling practices Build clean, scalable transformation pipelines and business logic layers Create reliable curated datasets for analytics, reporting, operational workflows, and AI initiatives Standardize KPI logic and reduce duplicated transformation logic across systems Develop testing, QA, and documentation standards for data models and pipelines Improve data quality, observability, and reliability across the warehouse Data Pipelines & Platform Operations Build, maintain, and optimize ingestion and transformation pipelines across internal and third-party systems Work across platforms including: Google BigQuery dbt Fivetran Portable Improvado HubSpot Tableau Google Cloud Platform Troubleshoot pipeline failures, schema drift, integration issues, and data discrepancies Improve monitoring, documentation, and operational stability across the data stack AI-Ready Data Infrastructure Help build structured, reliable, AI-ready datasets and systems Partner with Tech & Data leadership on long-term AI infrastructure readiness Support future AI-enabled workflows, automation initiatives, and operational tooling Contribute to scalable data design practices that support evolving AI use cases across the business Cross-Functional Collaboration Partner closely with analysts, marketing, operations, finance, and technology stakeholders Support analysts by improving foundational data models and reducing engineering burden on analytics resources Collaborate with IT and leadership on governance, access, and long-term platform maturity Participate in architectural planning and technical roadmap discussions What You Bring Required Experience 5-8+ years in analytics engineering, data engineering, or modern data stack environments Strong expertise in SQL and warehouse-based data transformation workflows Hands-on experience with dbt and modern ETL workflows Deep experience working within Google BigQuery or comparable cloud data warehouses Proficiency with SFTP-based file transfer workflows, including key-based authentication, scheduled transfers, and error handling Experience designing scalable data models and transformation layers Experience working with complex operational and business systems data Strong understanding of data governance, documentation, testing, and QA practices Experience building and maintaining production-grade data pipelines Strong systems thinking and architectural judgment Ability to balance long-term architecture improvements with short-term operational stability Preferred Experience Experience with: Fivetran Portable Improvado Tableau HubSpot Google Cloud Platform Experience in healthcare or HIPAA-conscious environments Experience supporting marketing, operational, or revenue-focused analytics ecosystems Familiarity with AI-enabled data workflows and AI-ready platform design Experience helping mature or rebuild fragmented data environments Familiarity with Jira and collaborative technical project management workflows What Success Looks Like Within 12 months, this person will have helped: Establish scalable architecture and modeling standards across the warehouse Mature and expand the dbt transformation layer Improve documentation, lineage, governance, and data reliability Organize fragmented datasets into scalable, maintainable structures Improve separation and governance of sensitive vs non-sensitive data Reduce operational friction and engineering burden across the analytics ecosystem Build a more scalable and AI-ready data foundation for the future growth of the organization What We Offer Competitive compensation and bonus structure High ownership and autonomy Opportunity to help shape the long-term data architecture of a rapidly scaling organization Smart, collaborative, highly driven teammates Direct impact on operational performance, growth, and patient experience Opportunity to help build the next generation of healthcare data infrastructure and AI enablement at scale Benefits to Support Your Wellbeing & Lifestyle Full-time team members at Metro Vein Centers are eligible for: Medical, Dental, and Vision Insurance 401(k) Paid Time Off (PTO) + Paid Company Holidays Company-Paid Life Insurance Short-Term Disability Insurance Employee Assistance Program (EAP) Career Growth & Development Opportunities Compensation for this role varies based on years of experience, skill set, and alignment with position requirements. Compensation: $150,000—$150,000 USD The Metro Vein Centers Difference Healthy legs. Happier lives. At Metro Vein Centers, we believe exceptional care begins with an exceptional experience. Our mission is to make vein care approachable, empowering, and connected to overall well-being. From the first conversation to the final follow-up, every patient interaction reflects our commitment to compassion, expertise, and trust. A team united by purpose. Our values guide everything we do: Patients First, Always – Every interaction should make our patients feel valued, heard, and cared for. Stronger Together – Teamwork and collaboration drive our success. We lift each other up to deliver the best for our patients. A Can-Do Spirit – We meet every challenge with positivity, flexibility, and problem-solving energy. Results That Make a Difference – We’re driven to improve lives through meaningful, measurable outcomes. Commitment to Growth – We invest in our people, fostering advancement and professional development at every level. Metro Vein Centers is an Equal Opportunity Employer. We’re committed to creating a workplace where everyone feels seen, heard, and supported. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal & Compliance Notice: Metro Vein Centers complies with all applicable federal, state, and local employment laws, including those related to nondiscrimination, equal opportunity, and pay transparency. Where specific disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy here.", "summaryDescription" : "Senior Data / Analytics Engineer at Metro Vein Centers. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T19:16:23.010", "createdAt" : "2026-06-14T19:16:23.010", "lastUpdated" : "2026-06-16T00:08:33.890", "ingestTimestamp" : "2026-06-14T19:16:23.010", "mongoId" : "6a2ca42974d8ee00a09b06c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering analysis", "Time-series forecasting", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Data science", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 754.4156, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c772974d8ee00a093be51", "title" : "Data Analytics Process Lead", "company" : "CARIAN", "industry" : "PMO", "salary" : { "min" : 120000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, NJ", "locations" : [ "Newark, NJ" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:04:05.575", "fingerprint" : "bc26f89c0d53ba260a3e63bc7ed96db9d75cc3b5bec8fbe9eb900ec4f3057956", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/carian/d82551b0-e649-4dae-99a6-c08ead27f3f1/application", "externalId" : "d82551b0-e649-4dae-99a6-c08ead27f3f1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, 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", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI development", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Data Science, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data analytics solutions, Build and maintain data pipelines, Design and develop ML models, Create and manage BI dashboards, Perform statistical analysis, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data platforms; ML frameworks; BI platforms; Data modelling; Statistical methods", "domainList" : [ "cloud-data-platforms", "ml-frameworks", "bi-platforms", "data-modelling", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data platforms", "ML frameworks", "BI platforms", "Data modelling", "Statistical methods" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD, Experience with cloud platforms, Experience with ML frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analytics Process Lead Location: Newark, New Jersey Job Type: Full-time (Hybrid (3 days a week in office)) About Us CARIAN is a purpose-driven, woman-owned consulting and advisory firm dedicated exclusively to the power sector. We partner with leading electric and gas utilities to provide strategic advisory and disciplined execution across program management, business intelligence, and field execution oversight. Guided by integrity, trust, excellence, and accountability, our team helps deliver complex capital programs and build the resilient energy infrastructure that communities depend on. Position Overview CARIAN is seeking an experienced Data Analytics Process Lead to support data analytics initiatives for a utility customer experience organization. This role will serve as the primary project manager and business liaison for analytics-related initiatives, working closely with program managers, IT, business stakeholders, and analytics resources. The ideal candidate has strong experience leading data-driven projects, gathering business requirements, supporting dashboard and reporting delivery, and translating business needs into practical analytics solutions. This is a senior, business-facing role requiring a strong mix of project management, process improvement, stakeholder communication, and technical analytics experience. The work may include Power BI dashboards, reporting solutions, data lake enhancements, executive reporting, business cases, and coordination across business and technical teams. Key Responsibilities - Serve as the project manager and primary point of contact for client’s data analytics initiatives. - Coordinate activities across program management, IT, analytics teams, business stakeholders, and external vendors. - Lead the planning, execution, monitoring, and delivery of analytics projects, including dashboards, reporting solutions, and data lake-related initiatives. - Develop and maintain project plans, roadmaps, status reports, risk assessments, and executive-level communications. - Facilitate stakeholder workshops and meetings to gather, document, and validate business requirements. - Translate business needs into functional specifications, user stories, data requirements, and analytics development priorities. - Partner with program managers, process leads, and business stakeholders to identify opportunities for data-driven process improvements and operational efficiencies. - Collaborate with IT, data engineering, and analytics teams to support Power BI dashboards, reporting solutions, data models, and data lake enhancements. - Ensure analytics solutions meet business objectives, usability expectations, and enterprise data governance standards. - Develop executive presentations, business cases, and communication materials that summarize project progress, findings, recommendations, business impacts, and analytics insights. - Build strong working relationships across business and technology organizations to support successful delivery. - Lead technical discussions, support analytics best practices, and provide oversight to analytics resources when needed. Qualifications - Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Engineering, Finance, or a related discipline. - 7+ years of relevant professional experience in project management, business analysis, process improvement, data analytics, reporting, or related fields. - 5+ years of experience in data analytics, business intelligence, data science, or a related field. - Experience managing cross-functional projects and coordinating work among business stakeholders, IT teams, analytics teams, and external vendors. - Strong experience gathering business requirements, facilitating workshops, documenting processes, and translating business needs into technical solutions. - Experience leading or providing technical oversight to analytics resources. - Experience developing or supporting SQL solutions, data models, and ETL/ELT processes within enterprise data environments. - Experience with Power BI dashboards and reports, or equivalent business intelligence and data visualization solutions. - Experience working with large datasets, relational databases, and enterprise reporting environments. - Familiarity with AWS cloud services supporting data integration, data lake, analytics, or reporting solutions. - Experience using Python for analytics, automation, statistical modeling, or AI/ML solution development. - Strong presentation, facilitation, written communication, and executive communication skills. - Strong analytical, problem-solving, organizational, and project management skills. - Ability to build collaborative relationships and influence stakeholders across multiple organizations. - Ability to manage multiple priorities and deliver results in a fast-paced environment. Preferred Experience - MBA or advanced degree in Business, Data Analytics, Information Systems, or a related field. - PMP certification or equivalent project management credential. - Experience serving as a Product Owner, Program Lead, Analytics Project Manager, Business Analyst, or Business Process Lead for enterprise analytics initiatives. - Experience supporting customer experience, energy efficiency, utility operations, or other process-focused organizations. - Familiarity with data governance, data quality, responsible AI practices, data warehousing, data lake architecture, and enterprise data management. - Experience developing business cases, investment justifications, executive reporting materials, and leadership presentations. - Understanding of Agile, Scrum, or other project delivery methodologies. - Experience coordinating consultants, contractors, analytics resources, or cross-functional project teams. Why CARIAN - Purpose-driven work – Help deliver infrastructure that powers communities - Industry reputation – Trusted by leading utilities for our reliability and results - Career growth – Opportunities to lead major programs and mentor high-performing teams - Collaborative culture – Join a team that values delivery excellence and long-term relationships - Competitive total rewards – Strong compensation, full benefits, 401(k) match, and meaningful work Equal Employment Opportunity CARIAN is proud to be an equal opportunity employer. We hire and develop talent based on qualifications, performance, and business needs. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. As a woman-owned firm dedicated to the power sector, we are committed to building a team that reflects professionalism, expertise, and integrity at every level. Compensation The salary range for this role is $120,000 – $155,000 annually. This range represents a good-faith estimate at the time of posting; actual compensation will depend on experience, qualifications, assignment requirements, schedule, and other factors permitted by law. In addition to base compensation, the role includes a comprehensive benefits package and a company 401(k) match.", "summaryDescription" : "Data Analytics Process Lead at CARIAN. Skills: Data Analytics, Data Science, Machine Learning, Business Intelligence. Develop and implement data analytics solutions. Build and maintain data pipelines", "createdAt" : "2026-06-14T19:22:29.006", "lastUpdated" : "2026-06-16T06:04:05.575", "ingestTimestamp" : "2026-06-14T19:22:29.006", "mongoId" : "6a2c772974d8ee00a093be51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "ML/AI", "BI development", "Cloud data stacks", "Statistical methods", "ML frameworks", "BI platforms", "Modelling skills", "Data Analytics", "Data Science", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data platforms", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 751.56, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c911f74d8ee00a0982093", "title" : "Account Executive (Data Analytics)", "company" : "Minitab", "industry" : "Technology", "salary" : { "min" : 560000.0, "max" : 840000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Account Executive in the Technology industry in Hong Kong, adjusted for company size and seniority." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-16T02:57:07.762", "fingerprint" : "056e7f21fcf2746b123ef4a0ed6581bb0d7b6d9aab414fc262ac59feab0b9fce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/minitab/jobs/7621678003", "externalId" : "7621678003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene" ], "hardSkillsList" : [ "Consultative selling", "Negotiation", "Closing skills" ], "hardSkills" : [ { "name" : "Consultative selling", "level" : "intermediate" }, { "name" : "Negotiation", "level" : "intermediate" }, { "name" : "Closing skills", "level" : "intermediate" } ], "majorSkills" : "New business sales, Mid-market segment sales, Data analytics sales", "majorSkillsList" : [ "New business sales", "Mid-market segment sales", "Data analytics sales" ], "coreResponsibilities" : "Own and execute new business sales strategy, Identify, qualify, and close net-new customer opportunities, Proactively prospect and engage senior stakeholders, Understand business challenges, Position Minitab as strategic solution, Lead full sales cycle, Build and manage pipeline, Maintain accurate forecasting, Gather and share competitive intelligence, Represent Minitab at customer meetings, Represent Minitab at industry events, Represent Minitab at partner engagements", "teamCollaboration" : "Virtual team-selling environment; Work with internal teams", "domainKnowledge" : "Data analytics; Manufacturing operations; Digital transformation", "domainList" : [ "data-analytics", "manufacturing-operations", "digital-transformation" ], "domainSpecificKnowledge" : [ "Data analytics", "Manufacturing operations", "Digital transformation" ], "toolProficiency" : [ "CRM" ], "communicationSkills" : "Executive engagement; Technical engagement; Business engagement", "specialRequirements" : "Frequent travel up to 60%", "outcomesObjectives" : "Achieve sales targets; Drive new business growth", "qualificationsBasic" : "3+ years B2B sales experience, Track record of achieving sales targets, Experience managing mid-market accounts, Fluent Mandarin, Excellent English communication skills", "qualificationsPreferred" : "Experience in technology, analytics, or enterprise software, Exposure to business intelligence, analytics, or statistical software", "workSiteFlexibility" : "Flexible", "rawDescription" : "Today, Minitab is one of the only software companies able to standardize data collection across manufacturing operations, from the factory floor to the quality lab and then turn that operational data into insights. This isn’t about selling a tool; it’s about helping customers establish a shared data foundation with best-in-class analytics that drives consistent improvement and confident decision-making end to end. As a Minitab sales professional, you’ll work with growing manufacturers at every stage of their digital transformation maturity level. Some are just beginning their data journey and need simple, practical ways to collect and understand their data. Others are ready for more advanced capabilities like statistical process control (SPC) and process digital twins to drive true operational excellence. Our portfolio allows you to land where they are today and expand as they grow, creating long-term customer value and repeatable sales success. You’ll be backed by a globally respected brand and solutions trusted by manufacturers around the world for the last 50 years. Minitab continues to be the partner of choice because we make advanced analytics accessible, scalable, and relevant to real manufacturing challenges, not theoretical ones. If you’re a mid-market seller who wants to lead value-based conversations, build lasting customer relationships, and sell solutions that manufacturers genuinely rely on, Minitab offers a career with impact, credibility, and growth. What You’ll Be Doing Own and execute a new business sales strategy for the mid-market segment across the Chinese market Identify, qualify, and close net-new customer opportunities Proactively prospect and engage senior stakeholders within manufacturing organisations, understanding their business challenges and positioning Minitab as a strategic solution Lead the full sales cycle, including discovery, solution positioning, product demonstrations, negotiation, and closing Build and manage a strong pipeline of new logo opportunities, maintaining accurate forecasting and CRM hygiene Work closely with internal pre-sales, marketing, and services teams in a virtual team-selling environment Gather and share competitive and market intelligence to continuously sharpen positioning within the territory Represent Minitab at customer meetings, industry events, and partner engagements across the region What We’re Looking For Proven hunter mentality — proactive, self-starting, and motivated by winning new business Strong experience selling B2B software or technology solutions into the manufacturing industry Ability to work independently, manage your own territory, and prioritise effectively in a fast-paced environment Comfortable with frequent travel (up to 60%) across the region Confident engaging with executive, technical, and business stakeholders Consultative selling approach with strong negotiation and closing skills Language Requirements Fluent Mandarin (native or business-native level) Excellent English communication skills (written and verbal) Experience & Background 3+ years of successful B2B sales experience, ideally in technology, analytics, or enterprise software. Track record of consistently achieving or exceeding sales targets (100%+ of quota) Experience managing mid-market accounts and closing deals. Exposure to business intelligence, analytics, or statistical software is a plus Why Join Minitab? High-impact role with clear ownership of new business growth Opportunity to build and shape a key market for the business Collaborative, international sales environment with strong enablement and support Competitive compensation and career growth opportunities within a global organisation", "summaryDescription" : "Account Executive (Data Analytics) at Minitab. Skills: New business sales, Mid-market segment sales, Data analytics sales. Own and execute new business sales strategy. Identify, qualify, and close net-new customer opportunities", "postedDate" : "2026-06-14T20:08:22.841", "createdAt" : "2026-06-14T20:08:22.841", "lastUpdated" : "2026-06-16T02:57:07.762", "ingestTimestamp" : "2026-06-14T20:08:22.841", "mongoId" : "6a2c911f74d8ee00a0982093", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Consultative selling", "Negotiation", "Closing skills", "New business sales", "Mid-market segment sales", "Data analytics sales", "Value-based conversations", "Territory management", "Forecasting", "CRM hygiene", "Data analytics", "Manufacturing operations", "Digital transformation", "CRM" ], "skillCount" : 14, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 747.8317, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3067aef292fd229cfc082a", "title" : "Program Associate, Investment Analytics", "company" : "Global Atlantic Financial Company", "industry" : "Insurance", "salary" : { "min" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T08:02:49.832", "fingerprint" : "66582acd5e30e8b7720c7f38b106230bb2cb3ef12535f230a68fd47b5b5cb03c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.kkr.com/careers/career-opportunities/post?gh_jid=6026836004", "externalId" : "6026836004", "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" : "Master's", "remoteFriendly" : false, "rawDescription" : "COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com. EMPLOYER: Global Atlantic Financial Company (a KKR company) RESPONSIBILITIES • Member of the Sector Analytics team, which is responsible for working with different portfolio management teams to provide analytical and quantitative solutions to investment and asset management. • Build, enhance and support the next generation of asset modeling and analytics platforms built on AWS. • Work with senior team members to address various requests from portfolio management teams and other internal stakeholders. • Collaborate with portfolio teams to provide cash flows and analytics for commercial assets, including commercial mortgage loans, CMBS, and other related assets. • Analyze asset historic performance data, identify key drivers and create business intelligence reports. • Contribute to the development and testing of the new asset modeling and analytics platform. • Work with other team members to build investment-oriented applications to improve the efficiency of investment management. QUALIFICATIONS Master’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus one (1) year of experience in the job offered or one (1) year of experience in investment analytics or related role. The employer will alternatively accept a Bachelor’s degree (U. S. or foreign equivalent) in Finance, Financial Engineering, Statistics, Computer Science or a related quantitative field plus three (3) years of experience in the job offered or three (3) years of experience in investment analytics or related role. One (1) year of experience: working with Python and Python data analysis packages (e. g. pandas, numpy, and scipy); understanding of database and handling complex query to large data tables; experience with Tableau; working with financial instruments; excel Proficiency in Pivot tables, and complex financial functions to calculate cashflows and yields; and building and maintaining investment-oriented applications on the Beacon platform. Location: 30 Hudson Yards, New York, NY 10001 Job Type: Full-time, 40 Hours a week, Monday-Friday Salary: $160,000 - $160,000 per year. #LI-DNI KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.", "summaryDescription" : "Program Associate, Investment Analytics at Global Atlantic Financial Company", "postedDate" : "2026-06-15T23:26:53.850", "createdAt" : "2026-06-15T23:26:53.850", "lastUpdated" : "2026-06-16T08:02:49.832", "ingestTimestamp" : "2026-06-15T23:26:53.850", "mongoId" : "6a3067aef292fd229cfc082a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 742.1989, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "69fc49a74c40e2acd1a83412", "title" : "Senior Counsel, Privacy and Advisory", "company" : "Hyundai Capital America", "industry" : "Banking", "salary" : { "min" : 185000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Counsel, Privacy and Advisory in Irvine, United States, adjusted for seniority and the financial services industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "certifications" : [ "CIPP certification" ], "timestamp" : "2026-06-16T04:34:30.595", "fingerprint" : "1c545b2ff0c1e48bc47070ceedc0474c6fced0e1176e157958da978fec0bbf38", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=114963", "externalId" : "114963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Legal analysis", "Risk management", "Compliance oversight" ], "majorSkills" : "Privacy law, Data protection, Legal advisory", "majorSkillsList" : [ "Privacy law", "Data protection", "Legal advisory" ], "coreResponsibilities" : "Advise on privacy laws, Develop privacy policies, Conduct privacy risk assessments, Ensure compliance with regulations, Support data protection initiatives, Manage legal aspects of data processing, Advise on legal and regulatory requirements, Provide legal guidance on advisory matters", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Privacy laws; Data protection regulations; Consumer protection laws; Financial regulations", "domainList" : [ "privacy-laws", "data-protection-regulations", "consumer-protection-laws", "financial-regulations" ], "domainSpecificKnowledge" : [ "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations" ], "communicationSkills" : "Legal advice; Policy development", "documentationSkills" : "Privacy policies; Legal documentation", "problemSolvingSkills" : "Legal analysis; Risk assessment", "qualificationsBasic" : "Juris Doctor degree, Admission to a state bar, 5+ years of legal experience, Experience in privacy law, Experience with data protection regulations", "qualificationsPreferred" : "Experience in the automotive or financial services industry, CIPP certification", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. 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 to Expect The Senior Counsel, Privacy and Advisory will provide strategic, practical, and actionable legal guidance across the Company’s business lines—including the core consumer finance business, vehicle voluntary protection products business, and emerging mobility business—and oversees legal compliance for marketing activities, including advertising practices, digital marketing, consumer and dealer communications, and compliance with applicable marketing laws and industry standards. This role advises on federal and state privacy, information security, and advertising/consumer protection laws and requirements applicable to the Company’s operations. The role also designs, implements, maintains, and continuously improves the Company’s enterprise privacy framework, including privacy-related policies, procedures, standards, and governance processes. In addition, the Senior Counsel leads and manages other attorneys and privacy and records management governance professionals. As a key advisor to senior stakeholders, this role provides counsel on privacy risk, regulatory developments, and privacy by design principles, and supports product, technology, and business initiatives through effective privacy governance. Employees in this role should expect to work on site Monday through Thursday and remotely on Fridays. . What You Will Do 1. Act as the Company’s primary privacy SME, providing legal and strategic guidance to business, technology, product, and operations teams to ensure compliance with applicable privacy, data protection, information security and consumer protection/advertising laws. Oversee legal review of all external communications to consumers, customers and dealers. 2. Own, implement, and maintain the Company’s enterprise privacy framework, including privacy policies, standards, procedures, governance models, and internal guidance. Lead updates to the privacy framework in response to regulatory developments, enforcement trends, and evolving business practices. Oversee privacy related documentation, recordkeeping, and reporting. 3. Act as primary liaison with Company’s affiliates in various data sharing, privacy, and marketing-related initiatives. Support new and existing third-party contract negotiations to identify and address privacy, data protection, information security and records management requirements. 4. Lead, mentor, and develop team members by providing direction, performance feedback, and support to ensure effective collaboration, professional growth, and achievement of organizational and personal goals. What You Will Bring · Minimum 8 years of relevant legal experience in providing legal and strategic guidance on product and process development, with a focus on privacy, information security and advertising/consumer protection. · Minimum 3 years supervisory experience. · In-house legal experience preferred. · Consumer financial services or automobile finance experience. · Juris Doctor Degree; member in good standing of a state bar (CA preferred). · CIPP certification a plus. · Broad-based experience and knowledge in privacy and information security laws and experience in providing practical and actional guidance in product development and process changes. · Willingness to undertake substantial and diverse job responsibilities. · Ability to work independently and as part of legal and business teams. · Ability to effectively manage team members to ensure performance and alignment with Company objectives. · Ability to quickly pivot to changing business priorities. · Willingness to explore and identify creative alternative solutions to facilitate business initiatives. · Broad-based knowledge of privacy laws and regulations, both financial services-related and general consumer protection. · Broad-based knowledge of consumer financial services. · Attention to detail and follow through. · Ability to communicate in clear and concise manner; ability to communicate complex legal issues in laymen’s terms to all levels of the organization. · Ability to research in a thorough and effective manner and to analyze and distill complex legal requirements into a usable and practical framework. · Ability to multi-task under tight deadlines and manage competing priorities in a fast-paced environment. · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). · Ability to successfully manage, train, develop and mentor direct reports. · Strong written and verbal communication skills. · Strong interpersonal skills to work in a team environment and build relationships with internal and external stakeholders. Work Environment Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. 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" : "Senior Counsel, Privacy and Advisory at Hyundai Capital America. Skills: Privacy law, Data protection, Legal advisory. Advise on privacy laws. Develop privacy policies", "createdAt" : "2026-06-14T20:42:39.784", "lastUpdated" : "2026-06-16T04:34:30.595", "ingestTimestamp" : "2026-06-14T20:42:39.784", "mongoId" : "69fc49a74c40e2acd1a83412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Privacy law", "Data protection", "Legal advisory", "Legal analysis", "Risk management", "Compliance oversight", "Privacy laws", "Data protection regulations", "Consumer protection laws", "Financial regulations", "CIPP certification" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 741.768, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677aa6", "title" : "Data Analytics Engineer", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data Analytics Engineer in Bengaluru, India, adjusted for mid-seniority level and the automotive industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "India-Karnataka-Bangalore", "'Embassy Crest' Plot No 5, , EPIP Zone, Phase 1, " ], "timestamp" : "2026-06-15T10:36:08.708", "fingerprint" : "2175e871fd68ba98fcacc5559eb6a7fc0d93e08c196cf2289a8ad112621b7dac", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=878225", "externalId" : "878225", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" }, { "city" : "Pune", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Bengaluru, India; Pune, India", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, NumPy, Pandas, Matplotlib, Plotly, SQL, AWS, GCP, Azure, CAN, LIN, MDF, ROS bags, ARXML", "professionalSkills" : [ "Data analysis", "Root cause analysis", "Model validation", "Performance analysis" ], "hardSkillsList" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks" ], "softSkillsList" : [ "Ownership mindset" ], "hardSkills" : [ { "name" : "Statistical reporting", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data preprocessing", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Scenario extraction", "level" : "intermediate" }, { "name" : "Dataset quality checks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" } ], "majorSkills" : "ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines", "majorSkillsList" : [ "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines" ], "coreResponsibilities" : "Analyze ADAS sensor data, Analyze vehicle dynamics data, Analyze ECU log data, Identify patterns, Identify anomalies, Identify performance trends, Understand ADAS algorithm behaviour, Understand KPI definitions, Understand performance metrics, Support model validation, Generate statistical reports, Generate performance summaries, Perform scenario-based evaluations, Build dashboards, Build data visualizations, Build automated reporting pipelines, Clean datasets, Preprocess datasets, Transform datasets, Perform root-cause analysis, Collaborate with engineers, Refine feature KPIs, Refine data requirements, Support scenario extraction, Support annotation reviews, Support dataset quality checks, Improve ADAS performance, Document findings, Document insights, Document recommendations", "teamCollaboration" : "Work with engineering teams; Collaborate with software engineers; Collaborate with systems engineers; Collaborate with calibration engineers; Work in cross-functional teams", "domainKnowledge" : "ADAS functions; ACC; AEB; LDW/LKA; BSD; CTA; Park Assist; TJA; Highway Assist; Automotive diagnostics; MDF log format; ROS bags format; ARXML format; Vehicle dynamics; Sensor fusion; ISO 26262; SOTIF; Automotive safety standards; AI/ML automotive applications; ADAS test vehicles; Simulation tools; Proving grounds", "domainList" : [ "adas-functions", "acc", "aeb", "ldw-lka", "bsd", "cta", "park-assist", "tja", "highway-assist", "automotive-diagnostics", "mdf-log-format", "ros-bags-format", "arxml-format", "vehicle-dynamics", "sensor-fusion", "iso-26262", "sotif", "automotive-safety-standards", "ai-ml-automotive-applications", "adas-test-vehicles", "simulation-tools", "proving-grounds" ], "domainSpecificKnowledge" : [ "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds" ], "toolProficiency" : [ "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "communicationSkills" : "Technical reports", "documentationSkills" : "Document findings; Document insights; Document recommendations", "problemSolvingSkills" : "Problem-solving; Root-cause analysis", "outcomesObjectives" : "Improve ADAS performance", "qualificationsBasic" : "Bachelor's/Master's degree, Python experience, NumPy experience, Pandas experience, Matplotlib/Plotly experience, Jupyter experience, SQL experience, Cloud data platforms experience, ADAS functions understanding, CAN familiarity, LIN familiarity, Automotive diagnostics familiarity, Log formats familiarity, Vehicle dynamics exposure, Sensor fusion concepts exposure, ML pipeline basics exposure, Power BI/Tableau experience, Analytical skills, Problem-solving skills, Communication skills", "qualificationsPreferred" : "Sensor data tools experience, ISO 26262 understanding, SOTIF understanding, Automotive safety standards understanding, AI/ML automotive applications familiarity, ADAS test vehicles experience, Simulation tools experience, Proving grounds experience", "remoteFriendly" : false, "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Role Overview We are seeking a skilled Data Analyst with strong automotive analytics expertise to support our ADAS development, validation, and continuous improvement initiatives. The role involves analyzing large-scale vehicle datasets, driver behaviour insights, sensor performance logs, and algorithm outputs to deliver actionable insights for engineering, calibration, and safety teams. Key Responsibilities Analyze ADAS sensor data (camera, radar, lidar, ultrasonic), vehicle dynamics, and ECU log data to identify patterns, anomalies, and performance trends. Work with engineering teams to understand ADAS algorithm behaviour, KPI definitions, and performance metrics. Support model validation by generating statistical reports, performance summaries, and scenario-based evaluations. Build dashboards, data visualizations, and automated reporting pipelines for engineering and program teams. Clean, preprocess, and transform large datasets using Python, SQL, or cloud-based tools. Perform root-cause analysis of ADAS feature performance issues—false detections, missed detections, driver intervention events, etc. Collaborate with software, systems, and calibration engineers to refine feature KPIs and data requirements. Support scenario extraction, annotation reviews, and dataset quality checks. Work on continuous improvement of ADAS performance across markets, driving conditions, and environmental factors. Document findings, insights, and recommendations in clear technical reports. Required Skills & Qualifications Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Strong experience in Python, NumPy, Pandas, Matplotlib/Plotly, Jupyter. Hands-on experience with SQL and cloud data platforms (AWS/GCP/Azure preferred). Good understanding of ADAS functions such as: ACC, AEB, LDW/LKA, BSD, CTA, Park Assist, TJA, Highway Assist, etc. Familiarity with CAN, LIN, automotive diagnostics, log formats (MDF, ROS bags, ARXML). Exposure to vehicle dynamics, sensor fusion concepts, machine learning pipeline basics. Experience with visualization tools such as Power BI / Tableau. Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills Experience with sensor data tools (Vector CANape/CANalyzer, dSPACE, OxTS, Mobileye logs, etc.). Understanding of ISO 26262, SOTIF, and automotive safety standards. Familiarity with AI/ML applications in automotive. Experience working with ADAS test vehicles, simulation tools, or proving grounds. Soft Skills Strong ownership mindset and ability to work in cross-functional teams. Detail-oriented with a passion for data-driven engineering. Ability to break down complex engineering problems into simple insights. Qualifications - Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent. Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "Data Analytics Engineer at Mercedes-Benz Research and Development India. Skills: ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines. Analyze ADAS sensor data. Analyze vehicle dynamics data", "createdAt" : "2026-06-14T01:53:16.158", "lastUpdated" : "2026-06-15T10:36:08.708", "ingestTimestamp" : "2026-06-14T01:53:16.158", "mongoId" : "69ce5e3b9bc74574cb677aa6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical reporting", "Data cleaning", "Data preprocessing", "Data transformation", "Scenario extraction", "Dataset quality checks", "Ownership mindset", "ADAS data analysis", "Vehicle data analysis", "Data visualization", "Data pipelines", "Data analysis", "Root cause analysis", "Model validation", "Performance analysis", "ADAS functions", "ACC", "AEB", "LDW/LKA", "BSD", "CTA", "Park Assist", "TJA", "Highway Assist", "Automotive diagnostics", "MDF log format", "ROS bags format", "ARXML format", "Vehicle dynamics", "Sensor fusion", "ISO 26262", "SOTIF", "Automotive safety standards", "AI/ML automotive applications", "ADAS test vehicles", "Simulation tools", "Proving grounds", "Jupyter", "Power BI", "Tableau", "Vector CANape", "Vector CANalyzer", "DSPACE", "OxTS", "Mobileye logs" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 739.3376, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "68e0a7e5ce260f92cbf8ec2e", "title" : "Delivery Consultant - Data and Analytics, WWPS ProServe", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Professional Services, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T04:15:30.362", "fingerprint" : "c2cfce3de3111f43d1bc5b199b442e54572560278d06653fd7ec5899380a7b14", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098918/apply", "externalId" : "4f5d1f59-1ee8-4e7d-b9af-86017ce71aea", "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", "technicalSkills" : "AWS, EC2, ELB, RDS, Route53, S3", "professionalSkills" : [ "System design", "Migration strategies" ], "hardSkillsList" : [ "Cloud computing" ], "softSkillsList" : [ "Mentoring", "Training" ], "hardSkills" : [ { "name" : "Cloud computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Training" } ], "majorSkills" : "Data and Analytics, AWS solutions", "majorSkillsList" : [ "Data and Analytics", "AWS solutions" ], "coreResponsibilities" : "Design AWS solutions, Implement AWS solutions, Manage AWS solutions, Provide technical guidance, Troubleshoot project delivery, Gather requirements, Propose migration strategies, Advise on industry trends, Advise on emerging technologies, Advise on innovative solutions, Lead implementation process, Ensure adherence to best practices, Optimize performance, Manage risks, Share knowledge, Create reusable artifacts", "teamCollaboration" : "Customer teams; AWS Partner Network", "domainKnowledge" : "Cloud computing", "domainList" : [ "cloud-computing" ], "domainSpecificKnowledge" : [ "Cloud computing" ], "continuousLearning" : "Mentoring; Training", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Meet technical requirements; Meet business objectives; Drive customer success", "qualificationsBasic" : "Knowledge of primary aws services, Experience implementing AWS services", "qualificationsPreferred" : "5+ years of IT implementation experience, Experience in cloud computing technologies, Experience leading design, development, deployment, Hands-on technology infrastructure experience, Hands-on network experience, Hands-on compute experience, Hands-on storage experience, Hands-on virtualization experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications: - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization 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 Colorado base pay for this position ranges from $131,300/year up to $177,600/year. The National base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/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" : "Delivery Consultant - Data and Analytics, WWPS ProServe at Amazon Web Services, Inc.. Skills: Data and Analytics, AWS solutions. Design AWS solutions. Implement AWS solutions", "postedDate" : "2026-06-13T12:19:14.926", "createdAt" : "2026-06-13T12:19:14.926", "lastUpdated" : "2026-06-15T04:15:30.362", "ingestTimestamp" : "2026-06-13T12:19:14.926", "mongoId" : "68e0a7e5ce260f92cbf8ec2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098918/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud computing", "Mentoring", "Training", "Data and Analytics", "AWS solutions", "System design", "Migration strategies" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "_score" : 739.3201, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c7a9f74d8ee00a09461bc", "title" : "Senior Data Engineer, Analytics", "company" : "Apptegy", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Bulgaria, adjusted for the education industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:07:32.467", "fingerprint" : "c9f0d7724af62856f1ed343299fb842e9002d35bf5ef0272120603b1c229b42a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.apptegy.com/careers/?gh_jid=4202928009", "externalId" : "4202928009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Data Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.", "summaryDescription" : "Senior Data Engineer, Analytics at Apptegy", "postedDate" : "2026-06-14T19:09:39.312", "createdAt" : "2026-06-14T19:09:39.312", "lastUpdated" : "2026-06-16T01:07:32.467", "ingestTimestamp" : "2026-06-14T19:09:39.312", "mongoId" : "6a2c7a9f74d8ee00a09461bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 735.46625, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 76390, "totalPages" : 1528, "hasNext" : true, "hasPrevious" : false } }

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