{ "count" : 24884, "data" : [ { "id" : "6a3050c5f292fd229cef50de", "title" : "MEL Specialist – Qualitative Expertise", "company" : "Busara", "industry" : "Advisory", "salary" : { "min" : 6.0E7, "max" : 9.0E7, "currency" : "UGX", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority MEL Specialist in Kampala, Uganda, adjusted for the non-profit sector." }, "location" : "Kampala", "locations" : [ "Kampala" ], "timestamp" : "2026-06-16T14:13:06.494", "fingerprint" : "3c2e61dd424db119ec35e8a5141beb95d12b1f884f0b47c61c103eef3410f22e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/BusaraCenter/fdc47c1f-63df-4500-ba8b-6f6edd3ad935/apply", "externalId" : "fdc47c1f-63df-4500-ba8b-6f6edd3ad935", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kampala", "country" : "Uganda", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "0.3177137,32.5813539" } ], "locationText" : "Kampala, Uganda", "employmentType" : "CONTRACT", "technicalSkills" : "Qualitative data analysis, Quantitative data analysis, Data collection, Data analysis software, Data visualization tools, Statistical software, Database management, SQL, Python, R, SPSS, NVivo, Tableau, Power BI, Excel", "professionalSkills" : [ "Research design", "Project management", "Stakeholder engagement", "Report writing", "Data interpretation", "Problem-solving", "Analytical thinking" ], "hardSkillsList" : [ "Qualitative data analysis", "Quantitative data analysis", "Research design", "Data collection methods", "Data analysis software", "Data visualization tools", "Report writing" ], "hardSkills" : [ { "name" : "Qualitative data analysis", "level" : "intermediate" }, { "name" : "Quantitative data analysis", "level" : "intermediate" }, { "name" : "Research design", "level" : "intermediate" }, { "name" : "Data collection methods", "level" : "intermediate" }, { "name" : "Data analysis software", "level" : "intermediate" }, { "name" : "Data visualization tools", "level" : "intermediate" }, { "name" : "Report writing", "level" : "intermediate" } ], "majorSkills" : "Qualitative expertise, Quantitative analysis, Research design, Data visualization", "majorSkillsList" : [ "Qualitative expertise", "Quantitative analysis", "Research design", "Data visualization" ], "coreResponsibilities" : "Design and implement MEL frameworks, Develop data collection tools, Conduct qualitative data analysis, Conduct quantitative data analysis, Interpret data and generate insights, Develop data visualizations, Write comprehensive reports, Present findings to stakeholders, Manage MEL activities, Ensure data quality and integrity, Contribute to project planning, Support adaptive management", "teamCollaboration" : "Work with project teams; Engage with stakeholders; Collaborate with partners", "projectManagementSkills" : [ "Project management", "MEL frameworks" ], "domainKnowledge" : "Monitoring and Evaluation; Learning frameworks; Research methodologies", "domainList" : [ "monitoring-and-evaluation", "learning-frameworks", "research-methodologies" ], "domainSpecificKnowledge" : [ "Monitoring and Evaluation", "Learning frameworks", "Research methodologies" ], "toolProficiency" : [ "SPSS", "NVivo", "Tableau", "Power BI", "Excel", "SQL", "Python", "R" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Report writing", "problemSolvingSkills" : "Problem-solving; Analytical thinking", "outcomesObjectives" : "Provide timely and accurate MEL reports; Inform project decision-making; Support adaptive management practices; Ensure accountability to stakeholders", "qualificationsBasic" : "5+ years of experience in MEL, Experience in qualitative data analysis, Experience in quantitative data analysis, Experience in research design, Experience in data collection methods, Experience in data analysis software, Experience in data visualization tools, Experience in report writing, Experience in project management, Experience in stakeholder engagement, Bachelor's degree in a relevant field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience in a specific sector, Experience with specific software or tools", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description About Busara Since 2014, Busara has evolved from a small behavioral science lab in Nairobi into a boutique research and advisory organization. Our diverse team of over 130 staff from 15+ countries has engaged in diverse projects across more than 50 countries in sectors like agriculture, health, governance, and inclusive finance. While headquartered in Nairobi, Kenya, we have expanded our footprint with offices now in India, Uganda, Tanzania, Nigeria, and Latin America. Role Purpose Statement This role requires strong evaluation design, research, and analytical skills to generate high-quality evidence and improve decision-making across Busara’s behavioral science projects. It is well-suited for someone who is highly comfortable working with data, leading the design, planning, execution, analysis, presentation, and publication of qualitative and quantitative research and evaluation projects at Busara, and can translate complex findings into clear, visual, and actionable insights. The Specialist will support and lead evaluation design, conduct rigorous analysis, and develop practical Monitoring, Evaluation, and Learning (MEL) tools and processes to strengthen internal systems. The role also involves working closely with project teams to ensure evidence is effectively connected to strategy, implementation, and adaptive management across our portfolio. The ideal candidate is a strong analytical thinker and clear communicator, with technical confidence in MEL practice. They will be able to design and lead learning reviews, conduct MEL assessments and trainings, synthesize evidence across multiple countries, and support teams in using data and insights to drive continuous learning and improvement. Key Accountabilities/Responsibilities The MEL Specialist will work closely with Busara Project Leads and the research team to perform a variety of tasks, including, but not limited to; ## Evaluation Design, Research & Evidence Architecture Design evaluations and reviews, including sampling plans, analytical frameworks, and fit-for-purpose methodologies. Lead the design and strengthening of Theories of Change, learning frameworks, and measurement strategies. Design and apply appropriate evaluation designs, such as theory-based, qualitative comparative analysis, or contribution analysis. Incorporate qualitative methods, behavioral science, psychology, and economics into projects. Lead or support data collection, including designing qualitative tools and protocols. Conduct rigorous analysis of primary and secondary datasets to generate actionable insights. Ensure all evaluations meet quality, ethical, and learning standards and are tailored to decision-making needs. ## Data Analytics & Data Visualization Conduct qualitative analyses using multiple data sources (e.g. indepth interviews, focus group descriptions, key informant interviews, etc) Rapidly analyse data from qualitative interviews conducted by others using thematic analysis and qualitative comparative analysis (using NVivo or any other qualitative software),. Develop clear, engaging visualizations (charts, dashboards, summary visuals) that help teams understand patterns quickly. Present findings visually in ways that support rapid learning and decision-making. ## MEL Systems, Tools & Data Quality Develop MEL plans, indicator definitions, and practical measurement frameworks. Create user-friendly tools such as interview guides, templates, and checklists. Strengthen internal data management systems, including data flows, documentation practices, and verification steps. Lead the design of data quality assessments (DQAs) and recommend improvements. ## Learning, Synthesis & Reporting Produce clear, well-structured evaluation reports, evidence summaries, and learning briefs. Support learning sessions, reflection workshops, and sense-making meetings. Write case studies, short briefs, and presentations tailored to internal and external audiences. ## Internal MEL Capacity Building Strengthen MEL capability across Busara by guiding associates and analysts. Build and maintain tools, templates, and internal guidance notes. Support MEL-related business development by contributing to the scopes of work and proposals. Provide ad-hoc technical support to all projects that have qualitative research within them, including research being conducted by other organizations. This can include training other members of staff to conduct high-quality research and providing support with analysis. Keep abreast of developments in qualitative research and design, and promote qualitative research capability within Busara through knowledge sharing and training activities and the development of new approaches. ## Knowledge, Skills, and Experience Minimum Requirements; Master’s degree in a relevant field such as inclusive finance, public policy, social sciences, or other related fields 3–5 years of hands-on MEL, evaluation, or research experience. Proven experience designing evaluations and selecting methodologies. Proven experience with MEL capacity strengthening efforts across vast teams. Experience designing and conducting qualitative research studies in development Ability to design data collection instruments, sampling approaches, and analysis plans. Strong qualitative analysis skills (NVivo required). Demonstrated experience with qualitative coding and synthesis. Demonstrated experience managing field teams. Skilled in creating clear, compelling data visualizations. Core Competencies Strong analytical thinking and structured problem-solving skills. Excellent writing skills and ability to simplify complex information. Confidence working with data and presenting findings visually. Organized, proactive, and comfortable managing multiple tasks. Collaborative, patient, and able to support teams with varying MEL experience. Curious, adaptive, and able to work across different types of projects. ## Additional Information Busara is an equal opportunity employer committed to building diverse, inclusive teams. We particularly encourage applications from candidates with lived experience in the communities and contexts we work in. We will be reviewing applications on a rolling basis until the position is filled. We encourage you to apply as soon as possible. Data Privacy Statement As part of Busara’s recruitment process, personal information provided by an applicant through various means will be collected and stored. This includes but is not limited to the information which the candidate provides to Busara in their application and profile, any data from role assessments, interviews information including video interviews and data provided to us by your referees. This data will be used to evaluate the application, communicate with the candidate, and where a candidate has selected this option, for future recruitment opportunities. All this information will be treated as part of each job application record and only retained for the required record retention period. By choosing to apply for this position at Busara, you are giving Busara your consent to process your personal data as described above. We are committed to protecting your privacy and ensuring that your personal information is secure.", "summaryDescription" : "MEL Specialist – Qualitative Expertise at Busara. Skills: Qualitative expertise, Quantitative analysis, Research design, Data visualization. Design and implement MEL frameworks. Develop data collection tools", "postedDate" : "2026-06-15T10:10:16.981", "createdAt" : "2026-06-15T10:10:16.981", "lastUpdated" : "2026-06-16T14:13:06.494", "ingestTimestamp" : "2026-06-16T03:20:05.120", "mongoId" : "6a3050c5f292fd229cef50de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative data analysis", "Quantitative data analysis", "Research design", "Data collection methods", "Data analysis software", "Data visualization tools", "Report writing", "Qualitative expertise", "Quantitative analysis", "Data visualization", "Project management", "Stakeholder engagement", "Data interpretation", "Problem-solving", "Analytical thinking", "MEL frameworks", "Monitoring and Evaluation", "Learning frameworks", "Research methodologies", "SPSS", "NVivo", "Tableau", "Power BI", "Excel", "SQL", "Python", "R" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 978.0309, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65a", "title" : "Quantitative Data Analyst", "company" : "Connor, Clark & Lunn Investment Management", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:31:13.653", "fingerprint" : "34ff43fdb29565fe9574fc665d34d1166817e7140448eab71542980c12aae3d4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223817009", "externalId" : "4223817009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "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 engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "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" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Design and deploy machine learning models, Create and maintain BI dashboards, Perform statistical analysis, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to grow your career steadily over time. This is an opportunity for ambitious individuals to drive their career growth in data. While we take the approach of tailoring the career path to individual strengths, we expect successful candidates for this role to develop excellence in the following tasks: Create processes to assess, explore, and link billions of data points. Test structured and unstructured data sets for data quality and reliability. Assess new data opportunities for quality and usefulness. Evaluate your data solutions for sensibility, accuracy, and bias. Collaborate with quantitative researchers – support alpha projects with your data expertise. Collaborate with technology specialists – help trade off application performance and operational feasibility. Support production deployments of your work to ensure long-term reliability. Enable clarity of and access to your work through robust documentation and exposition. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You are able to manage and prioritize multiple ongoing projects. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Data Analyst at Connor, Clark & Lunn Investment Management. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data pipelines. Build and maintain data models", "postedDate" : "2026-06-14T20:05:45.793", "createdAt" : "2026-06-14T20:05:45.793", "lastUpdated" : "2026-06-16T01:31:13.653", "ingestTimestamp" : "2026-06-14T20:05:45.793", "mongoId" : "6a2c7c2274d8ee00a094c65a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "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" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 815.9681, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079aef292fd229c034403", "title" : "Retail Data & Consumer Insights Intern", "company" : "Umami", "industry" : "Work-Based Learning", "salary" : { "min" : 15.0, "max" : 15.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Bentonville, AR", "locations" : [ "Bentonville, AR" ], "timestamp" : "2026-06-16T12:03:59.337", "fingerprint" : "6e536fffe8e3ec6e34e36a6a3478d006e6cd30d3a0d3d1e5023943cea511c667", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/acds/f1b59e1c-6037-430d-8bcd-38f63c131057/apply", "externalId" : "f1b59e1c-6037-430d-8bcd-38f63c131057", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bentonville", "state" : "Arkansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.3728608,-94.2087870" } ], "locationText" : "Bentonville, Arkansas, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Clippr plugin", "professionalSkills" : [ "Consumer insights", "Product insights", "Data collection", "Data entry", "Data analysis", "Reporting", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories" ], "hardSkillsList" : [ "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Retail data, Consumer insights, AI", "majorSkillsList" : [ "Retail data", "Consumer insights", "AI" ], "coreResponsibilities" : "Capture product data, Capture pricing data, Capture packaging data, Capture assortment data, Maintain accuracy, Maintain consistency, Identify anomalies, Identify gaps, Identify trends, Flag data entry issues, Use Clippr plugin, Scrape retail product information, Tag retail product information, Organize retail product information, Execute standardized workflows, Support category scans, Support competitive benchmarking, Support assortment mapping, Structure data for analytics, Structure data for reporting, Gather review-based consumer sentiment data, Decode consumer pain points, Decode unmet needs, Decode competitive strengths, Decode competitive weaknesses, Support creation of category snapshots, Support creation of opportunity maps, Support creation of concept inputs, Support preparation of reports, Analyze patterns across retailers, Analyze patterns across categories, Analyze patterns across consumer feedback, Contribute to innovation pipeline prioritization, Organize data inputs, Synthesize data inputs, Assist with ad hoc research, Support internal documentation, Support workflow optimization, Participate in team meetings, Contribute to process improvements, Maintain internal databases, Maintain knowledge repositories, Provide general operational support", "teamCollaboration" : "Innovation team; Insights team; Product team", "domainKnowledge" : "CPG innovation; AI; Retail data; Product development", "domainList" : [ "cpg-innovation", "ai", "retail-data", "product-development" ], "domainSpecificKnowledge" : [ "CPG innovation", "AI", "Retail data", "Product development" ], "toolProficiency" : [ "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Internal documentation", "continuousLearning" : "Learning new technologies", "problemSolvingSkills" : "Identify anomalies; Identify gaps; Identify trends; Decode consumer pain points; Decode unmet needs; Decode competitive strengths; Decode competitive weaknesses", "specialRequirements" : "No future visa sponsorship", "qualificationsBasic" : "Attention to detail, Proficiency with Microsoft Excel, Proficiency with Google Sheets, Ability to identify patterns, Ability to identify trends, Ability to identify inconsistencies in data, Ability to work independently, Ability to manage multiple projects, Ability to meet deadlines, Current Arkansas state resident, Ability to pass a standard background check, Ability to work 40 hours a week, Ability to work full-time in the United States, Technical aptitude", "qualificationsPreferred" : "Familiarity with data visualization tools, Familiarity with reporting tools, Curious about CPG innovation, Excited to work at the intersection of AI, retail data, and product development, Interest in learning new technologies, Interest in growing IT career, Interest in starting IT career, Ability to communicate technical aptitude", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Apprenticely is working with our company partner, the Umami to add an Retail Data & Consumer Insights Intern to their team in Bentonville, Arkansas! Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand. About Umami: Umami is an AI-enabled, customer-driven Food & Beverage innovation platform built to analyze customer feedback and company advantages to generate strategic product insights for innovators within consumer-driven brands. We combine machine learning, consumer data, and brands’ unique advantages—from insight to innovation. FIELDBOOK, a studio operated by Alloy Partners, is dedicated to creating and accelerating advantaged “retail value chain” startups. We are launching Umami out of Fieldbook Studio—backed by the Walton Family Foundation and the Arkansas Development Finance Authority (ADFA). About the Role: The Intern will support Umami’s retail data collection and consumer insights workflows using the Clippr plugin and related internal tools. This role is ideal for someone who is detail‑oriented, curious about CPG innovation, and excited to work at the intersection of AI, retail data, and product development. ## Intern Responsibilities Capture product, pricing, packaging, and assortment data across assigned retailers and categories Maintain accuracy and consistency across large datasets Identify anomalies, gaps, or trends during data entry and flag them for review Use the Clippr plugin to scrape, tag, and organize retail product information Execute standardized workflows to support category scans, competitive benchmarking, and assortment mapping Ensure data is properly structured for downstream analytics and reporting Assist in gathering review-based consumer sentiment data aligned with Umami’s methodology (real reviews, not social media) Help decode consumer pain points, unmet needs, and competitive strengths/weaknesses Support the creation of category snapshots, opportunity maps, and early-stage concept inputs Support the preparation of internal and client-facing reports, including charts, summaries, and insights Help analyze patterns across retailers, categories, and consumer feedback Contribute to innovation pipeline prioritization work by organizing and synthesizing data inputs Collaborate with the Innovation, Insights, and Product teams as needed Assist with ad hoc research tasks related to brand health, innovation reports, and opportunity sizing Support internal documentation and workflow optimization Participate in team meetings and contribute to process improvements Help maintain internal databases and knowledge repositories Provide general operational support as the company scales its AI-powered product development platform ## Qualifications of an ideal candidate Strong attention to detail with the ability to maintain accuracy across large datasets. Proficiency with Microsoft Excel and/or Google Sheets. Familiarity with data visualization and reporting tools such as Tableau, Power BI, Looker Studio, or similar platforms. Excellent organizational and time management skills. Strong written and verbal communication skills. Ability to identify patterns, trends, and inconsistencies in data. Comfortable learning new software tools and technology platforms. Ability to work independently while managing multiple projects and deadlines. ## Additional Details Pay Range: $15/hr Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand Location: Bentonville, Arkansas ## Our Must Haves Current Arkansas state resident Ability to pass a standard background check Ability to work 40 hours a week, following the three-month internship Ability to work full-time in the United States without a current or future need for visa sponsorship High curiosity and interest in learning new technologies and growing or starting your IT career Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know ## Additional Information How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program. Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page. Check out our YouTube page for past webinars and career tips! Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30 SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/", "summaryDescription" : "Retail Data & Consumer Insights Intern at Umami. Skills: Retail data, Consumer insights, AI. Capture product data. Capture pricing data", "postedDate" : "2026-06-15T14:23:33.187", "createdAt" : "2026-06-15T14:23:33.187", "lastUpdated" : "2026-06-16T12:03:59.337", "ingestTimestamp" : "2026-06-16T03:26:12.618", "mongoId" : "6a3079aef292fd229c034403", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 15, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data visualization", "Reporting", "Retail data", "Consumer insights", "AI", "Product insights", "Data collection", "Data entry", "Data analysis", "Competitive benchmarking", "Assortment mapping", "Consumer sentiment analysis", "Innovation pipeline prioritization", "Brand health analysis", "Opportunity sizing", "Workflow optimization", "Process improvements", "Database maintenance", "Knowledge repositories", "CPG innovation", "Product development", "Clippr plugin", "Microsoft Excel", "Google Sheets", "Tableau", "Power BI", "Looker Studio" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 685.3831, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d6c5874d8ee00a0bdce18", "title" : "Consumer Insights Researcher", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Consumer Insights Researcher in Milpitas, CA, adjusted for the technology industry and company size." }, "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "timestamp" : "2026-06-16T01:35:35.302", "fingerprint" : "1062f7812f723683c64814784419945100c450757ff7f5571e040b1ffc18d431", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131807280-consumer-insights-researcher", "externalId" : "744000131807280", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SPSS", "professionalSkills" : [ "Research design", "Data analysis", "Stakeholder consulting", "Business strategy", "Portfolio strategy", "Pricing strategy", "Marketing strategy", "Shopper experience", "Customer understanding" ], "hardSkillsList" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analysis", "Advanced analytics" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Statistical testing", "level" : "intermediate" }, { "name" : "Segmentation analysis", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Market research, Quantitative research, Qualitative research", "majorSkillsList" : [ "Consumer insights", "Market research", "Quantitative research", "Qualitative research" ], "coreResponsibilities" : "Lead end-to-end primary research projects, Recommend appropriate methodologies, Design questionnaires, Design discussion guides, Design sampling plans, Design research approaches, Manage external research vendors, Manage fieldwork partners, Manage sample providers, Evaluate research quality, Identify risks, Identify limitations, Identify opportunities for improvement, Analyze quantitative data, Analyze qualitative data, Uncover consumer behaviors, Uncover consumer motivations, Uncover consumer needs, Uncover market opportunities, Integrate findings across multiple data sources, Develop comprehensive consumer understanding, Translate research findings into business implications, Translate research findings into strategic recommendations, Identify emerging consumer trends, Identify emerging opportunities, Partner with product teams, Partner with marketing teams, Partner with sales teams, Partner with strategy teams, Partner with commercial teams, Understand business challenges, Define research needs, Recommend research approaches, Guide stakeholders through interpretation of findings, Present insights to stakeholders, Present recommendations to stakeholders, Educate stakeholders on consumer behavior, Educate stakeholders on research methodologies, Educate stakeholders on best practices, Manage multiple concurrent research initiatives, Balance speed, quality, and business impact, Maintain research documentation, Contribute to knowledge management, Support continuous improvement of research standards, Support continuous improvement of research tools, Support continuous improvement of research processes, Stay current on evolving research methodologies, Stay current on analytical techniques, Stay current on consumer insights best practices", "teamCollaboration" : "Partner with product; Partner with marketing; Partner with sales; Partner with strategy; Partner with commercial teams; Cross-functional stakeholders", "projectManagementSkills" : [ "End-to-end project management" ], "domainKnowledge" : "Consumer behavior; Market research methodologies; Pricing research; Shopper experience; Customer experience", "domainList" : [ "consumer-behavior", "market-research-methodologies", "pricing-research", "shopper-experience", "customer-experience" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market research methodologies", "Pricing research", "Shopper experience", "Customer experience" ], "toolProficiency" : [ "SPSS" ], "communicationSkills" : "Present insights; Present recommendations", "documentationSkills" : "Maintain research documentation", "continuousLearning" : "Stay current on evolving research methodologies; Stay current on analytical techniques; Stay current on consumer insights best practices", "problemSolvingSkills" : "Data analysis; Translate research findings; Identify emerging trends", "outcomesObjectives" : "Improve business outcomes; Improve consumer satisfaction", "qualificationsBasic" : "Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field, 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines, Demonstrated experience independently leading end-to-end primary research projects, Expertise in quantitative and qualitative research methodologies, Advanced proficiency in SPSS, Data cleaning and preparation, Weighting and sample management, Cross-tabulation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The Consumer Insights Researcher is responsible for leading primary consumer research that drives business decisions across product innovation, portfolio strategy, pricing, marketing, shopper experience, and customer understanding. This role serves as a strategic partner to cross-functional stakeholders by transforming consumer insights into actionable recommendations that improve business outcomes and consumer satisfaction. The ideal candidate is an experienced researcher with strong expertise in both quantitative and qualitative methodologies. They are capable of independently managing end-to-end research projects, applying statistical rigor to data analysis, and effectively communicating insights to stakeholders at multiple levels of the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: Research Design & Execution * Lead end-to-end primary research projects from business question development through final recommendation. * Recommend appropriate methodologies based on business objectives, including surveys, focus groups, in-depth interviews, concept testing, product testing, segmentation, pricing, shopper, and customer experience research. * Design questionnaires, discussion guides, sampling plans, and research approaches that ensure methodological rigor and actionable outcomes. * Manage external research vendors, fieldwork partners, and sample providers to ensure project quality, timeliness, and budget adherence. * Evaluate research quality and proactively identify risks, limitations, and opportunities for improvement. Analysis & Insight Development * Analyze quantitative and qualitative data to uncover meaningful consumer behaviors, motivations, needs, and market opportunities. * Utilize SPSS to conduct data cleaning, weighting, statistical testing, segmentation analyses, and advanced analytical techniques. * Integrate findings across multiple data sources to develop comprehensive consumer understanding. * Translate research findings into clear business implications and strategic recommendations. * Identify emerging consumer trends and opportunities that can inform future business decisions. Stakeholder Consulting & Influence * Partner with product, marketing, sales, strategy, and commercial teams to understand business challenges and define research needs. * Serve as a trusted advisor by recommending research approaches and guiding stakeholders through interpretation of findings. * Present insights and recommendations to cross-functional stakeholders and leadership audiences. * Educate stakeholders on consumer behavior, research methodologies, and best practices for evidence-based decision-making. Operational Excellence * Manage multiple concurrent research initiatives while balancing speed, quality, and business impact. * Maintain research documentation and contribute to knowledge management efforts across the Consumer Insights organization. * Support continuous improvement of research standards, tools, and processes. * Stay current on evolving research methodologies, analytical techniques, and consumer insights best practices. ## Qualifications * Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field. * 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines. * Demonstrated experience independently leading end-to-end primary research projects. * Strong expertise in quantitative and qualitative research methodologies. * Advanced proficiency in SPSS, including: * Data cleaning and preparation * Weighting and sample management * Cross-tabulation and significance testing * Regression analysis * Factor analysis * Cluster analysis and segmentation * Strong survey design and questionnaire-writing skills. * Experience synthesizing complex datasets into actionable business recommendations. * Excellent written, verbal, and presentation communication skills. * Ability to manage multiple projects simultaneously in a fast-paced environment. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk 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. Sandisk 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@sandisk.com](mailto:jobs.accommodations@sandisk.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. Based on our experience, we anticipate that the application deadline will be 09/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Consumer Insights Researcher at Sandisk. Skills: Consumer insights, Market research, Quantitative research, Qualitative research. Lead end-to-end primary research projects. Recommend appropriate methodologies", "postedDate" : "2026-06-12T02:56:58.000", "createdAt" : "2026-06-14T18:52:53.192", "lastUpdated" : "2026-06-16T01:35:35.302", "ingestTimestamp" : "2026-06-14T18:52:53.192", "mongoId" : "6a2d6c5874d8ee00a0bdce18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analysis", "Advanced analytics", "Consumer insights", "Market research", "Research design", "Data analysis", "Stakeholder consulting", "Business strategy", "Portfolio strategy", "Pricing strategy", "Marketing strategy", "Shopper experience", "Customer understanding", "End-to-end project management", "Consumer behavior", "Market research methodologies", "Pricing research", "Customer experience", "SPSS" ], "skillCount" : 22, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 671.91547, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c70fb74d8ee00a092d242", "title" : "Consumer Insights Researcher", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Mid-level Consumer Insights Researcher in Milpitas, California, adjusted for the technology industry and company size." }, "location" : "Milpitas, CA, United States", "locations" : [ "Milpitas", "CA", "United States" ], "timestamp" : "2026-06-15T07:30:39.714", "fingerprint" : "fcb0a281843298f6c130401cf4ddeedfd6ee0e8bd04ad51fe1950e955802d2cd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000131807280-consumer-insights-researcher", "externalId" : "744000131807280", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milpitas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4332273,-121.8989248" } ], "locationText" : "Milpitas, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "SPSS", "professionalSkills" : [ "Consumer insights", "Market research", "Customer insights", "Portfolio strategy", "Pricing strategy", "Shopper experience", "Customer understanding", "Business outcomes", "Consumer satisfaction", "Research design", "Methodology recommendation", "Data analysis", "Insight development", "Stakeholder consulting", "Business challenges", "Research needs", "Evidence-based decision-making", "Research initiatives", "Knowledge management", "Research standards", "Analytical techniques" ], "hardSkillsList" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analyses", "Advanced analytical techniques", "Data cleaning", "Weighting", "Sample management", "Cross-tabulation", "Significance testing", "Regression analysis", "Factor analysis", "Cluster analysis", "Segmentation" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Statistical testing", "level" : "intermediate" }, { "name" : "Segmentation analyses", "level" : "intermediate" }, { "name" : "Advanced analytical techniques", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Weighting", "level" : "intermediate" }, { "name" : "Sample management", "level" : "intermediate" }, { "name" : "Cross-tabulation", "level" : "intermediate" }, { "name" : "Significance testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Factor analysis", "level" : "intermediate" }, { "name" : "Cluster analysis", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" } ], "majorSkills" : "Consumer insights, Market research, Quantitative research, Qualitative research", "majorSkillsList" : [ "Consumer insights", "Market research", "Quantitative research", "Qualitative research" ], "coreResponsibilities" : "Lead end-to-end primary research projects, Recommend appropriate methodologies, Design questionnaires, discussion guides, sampling plans, Manage external research vendors, Evaluate research quality, Analyze quantitative and qualitative data, Utilize SPSS to conduct data cleaning, Integrate findings across multiple data sources, Translate research findings into business implications, Identify emerging consumer trends, Partner with product, marketing, sales, strategy, and commercial, Serve as a trusted advisor, Present insights and recommendations to stakeholders, Educate stakeholders on consumer behavior, Manage multiple concurrent research initiatives, Maintain research documentation, Contribute to knowledge management efforts, Support continuous improvement of research standards, Stay current on evolving research methodologies", "teamCollaboration" : "Partner with product teams; Partner with marketing teams; Partner with sales teams; Partner with strategy teams; Partner with commercial teams; Present to leadership audiences", "projectManagementSkills" : [ "End-to-end research projects", "Manage multiple projects" ], "domainKnowledge" : "Consumer behavior; Flash memory technologies; Advanced memory technologies; 4IR innovations; Sustainability Lighthouses; Global supply chain", "domainList" : [ "consumer-behavior", "flash-memory-technologies", "advanced-memory-technologies", "4ir-innovations", "sustainability-lighthouses", "global-supply-chain" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Flash memory technologies", "Advanced memory technologies", "4IR innovations", "Sustainability Lighthouses", "Global supply chain" ], "toolProficiency" : [ "SPSS" ], "communicationSkills" : "Presentation communication; Verbal communication; Written communication", "documentationSkills" : "Research documentation", "continuousLearning" : "Stay current on evolving research methodologies; Stay current on analytical techniques; Stay current on consumer insights best practices", "innovationCreativity" : "Innovate to deliver solutions; Groundbreaking innovations", "problemSolvingSkills" : "Transforming insights into recommendations; Uncover meaningful consumer behaviors; Develop comprehensive consumer understanding; Identify emerging consumer trends; Define research needs", "outcomesObjectives" : "Improve business outcomes; Improve consumer satisfaction", "qualificationsBasic" : "Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field, 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines, Demonstrated experience independently leading end-to-end primary research projects, Expertise in quantitative and qualitative research methodologies, Advanced proficiency in SPSS, Survey design and questionnaire-writing skills, Experience synthesizing complex datasets into actionable business recommendations, Excellent written, verbal, and presentation communication skills, Ability to manage multiple projects simultaneously in a fast-paced environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. The Consumer Insights Researcher is responsible for leading primary consumer research that drives business decisions across product innovation, portfolio strategy, pricing, marketing, shopper experience, and customer understanding. This role serves as a strategic partner to cross-functional stakeholders by transforming consumer insights into actionable recommendations that improve business outcomes and consumer satisfaction. The ideal candidate is an experienced researcher with strong expertise in both quantitative and qualitative methodologies. They are capable of independently managing end-to-end research projects, applying statistical rigor to data analysis, and effectively communicating insights to stakeholders at multiple levels of the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: Research Design & Execution * Lead end-to-end primary research projects from business question development through final recommendation. * Recommend appropriate methodologies based on business objectives, including surveys, focus groups, in-depth interviews, concept testing, product testing, segmentation, pricing, shopper, and customer experience research. * Design questionnaires, discussion guides, sampling plans, and research approaches that ensure methodological rigor and actionable outcomes. * Manage external research vendors, fieldwork partners, and sample providers to ensure project quality, timeliness, and budget adherence. * Evaluate research quality and proactively identify risks, limitations, and opportunities for improvement. Analysis & Insight Development * Analyze quantitative and qualitative data to uncover meaningful consumer behaviors, motivations, needs, and market opportunities. * Utilize SPSS to conduct data cleaning, weighting, statistical testing, segmentation analyses, and advanced analytical techniques. * Integrate findings across multiple data sources to develop comprehensive consumer understanding. * Translate research findings into clear business implications and strategic recommendations. * Identify emerging consumer trends and opportunities that can inform future business decisions. Stakeholder Consulting & Influence * Partner with product, marketing, sales, strategy, and commercial teams to understand business challenges and define research needs. * Serve as a trusted advisor by recommending research approaches and guiding stakeholders through interpretation of findings. * Present insights and recommendations to cross-functional stakeholders and leadership audiences. * Educate stakeholders on consumer behavior, research methodologies, and best practices for evidence-based decision-making. Operational Excellence * Manage multiple concurrent research initiatives while balancing speed, quality, and business impact. * Maintain research documentation and contribute to knowledge management efforts across the Consumer Insights organization. * Support continuous improvement of research standards, tools, and processes. * Stay current on evolving research methodologies, analytical techniques, and consumer insights best practices. ## Qualifications * Bachelor's degree in Market Research, Psychology, Sociology, Statistics, Behavioral Science, Marketing, Business, or related field. * 4-7 years of experience in consumer insights, market research, customer insights, or related research disciplines. * Demonstrated experience independently leading end-to-end primary research projects. * Strong expertise in quantitative and qualitative research methodologies. * Advanced proficiency in SPSS, including: * Data cleaning and preparation * Weighting and sample management * Cross-tabulation and significance testing * Regression analysis * Factor analysis * Cluster analysis and segmentation * Strong survey design and questionnaire-writing skills. * Experience synthesizing complex datasets into actionable business recommendations. * Excellent written, verbal, and presentation communication skills. * Ability to manage multiple projects simultaneously in a fast-paced environment. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk 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. Sandisk 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@sandisk.com](mailto:jobs.accommodations@sandisk.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. Based on our experience, we anticipate that the application deadline will be 09/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-KH1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Consumer Insights Researcher at Sandisk. Skills: Consumer insights, Market research, Quantitative research, Qualitative research. Lead end-to-end primary research projects. Recommend appropriate methodologies", "postedDate" : "2026-06-12T02:56:58.000", "createdAt" : "2026-06-13T16:46:08.794", "lastUpdated" : "2026-06-15T07:30:39.714", "ingestTimestamp" : "2026-06-13T16:46:08.794", "mongoId" : "6a2c70fb74d8ee00a092d242", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Quantitative research", "Qualitative research", "Statistical testing", "Segmentation analyses", "Advanced analytical techniques", "Data cleaning", "Weighting", "Sample management", "Cross-tabulation", "Significance testing", "Regression analysis", "Factor analysis", "Cluster analysis", "Segmentation", "Consumer insights", "Market research", "Customer insights", "Portfolio strategy", "Pricing strategy", "Shopper experience", "Customer understanding", "Business outcomes", "Consumer satisfaction", "Research design", "Methodology recommendation", "Data analysis", "Insight development", "Stakeholder consulting", "Business challenges", "Research needs", "Evidence-based decision-making", "Research initiatives", "Knowledge management", "Research standards", "Analytical techniques", "End-to-end research projects", "Manage multiple projects", "Consumer behavior", "Flash memory technologies", "Advanced memory technologies", "4IR innovations", "Sustainability Lighthouses", "Global supply chain", "SPSS" ], "skillCount" : 44, "jobCategory" : "research", "jobSubcategory" : "research", "dataQualityScore" : 1.0, "_score" : 671.91547, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c75ec74d8ee00a09388a3", "title" : "Quantitative Developer", "company" : "Poesis", "industry" : "Engineering", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T02:57:35.521", "fingerprint" : "3b2dc2fae32d1b45fec189e17e460b6008dc79f71883911d9bec5cf31a69d6a2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/poesis/95065a70-aa63-4469-b98c-087201a28d77/application", "externalId" : "95065a70-aa63-4469-b98c-087201a28d77", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Menlo Park", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4519671,-122.1779920" } ], "locationText" : "Menlo Park, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Pandas, Numpy, Scipy, Matplotlib, SQL, Claude Code, Codex", "professionalSkills" : [ "Feature generation", "Back-testing", "Model evaluation", "Data schemas", "APIs", "Reproducibility standards" ], "hardSkillsList" : [ "Statistics", "Regression", "Optimization", "ML fundamentals" ], "softSkillsList" : [ "Clear communicator" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "ML fundamentals", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communicator" } ], "majorSkills" : "Quantitative research, Model implementation, Data pipelines", "majorSkillsList" : [ "Quantitative research", "Model implementation", "Data pipelines" ], "coreResponsibilities" : "Implement and iterate on research ideas, Implement model prototypes, Clean financial datasets, Process financial datasets, Join financial datasets, Build processes for feature generation, Build processes for back-testing, Build processes for model evaluation, Maintain processes for feature generation, Maintain processes for back-testing, Maintain processes for model evaluation, Run experiments, Summarize results, Report findings to leadership, Contribute to code quality, Support defining data schemas, Support defining APIs, Support defining reproducibility standards, Implement models, Test models, Refine models, Implement signals, Test signals, Refine signals, Implement analytical workflows, Test analytical workflows, Refine analytical workflows, Maintain consistent cadence of deliverables, Focus on iteration speed, Focus on reliability", "teamCollaboration" : "Engineering leadership; Chief Scientist; CEO", "domainKnowledge" : "Financial datasets; Portfolio optimization; Risk modeling; Financial time-series", "domainList" : [ "financial-datasets", "portfolio-optimization", "risk-modeling", "financial-time-series" ], "domainSpecificKnowledge" : [ "Financial datasets", "Portfolio optimization", "Risk modeling", "Financial time-series" ], "toolProficiency" : [ "Git", "Docker", "Prefect", "Airflow" ], "communicationSkills" : "Explain technical findings", "documentationSkills" : "Documentation", "innovationCreativity" : "Research ideas; Model prototypes", "problemSolvingSkills" : "Analytical workflows", "specialRequirements" : "Work visa sponsorship", "qualificationsBasic" : "Python skills, SQL comfort, Claude Code, Codex, or other coding agents skill, Real-world financial datasets proficiency, Reproducible analyses or pipelines building, Statistics understanding, Regression understanding, Optimization understanding, ML fundamentals understanding, Clear communicator, BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field", "qualificationsPreferred" : "Prior full-time experience in finance, data science, or ML engineering, Early-stage startup experience, Demonstrated builder mindset", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT POESIS Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal. ABOUT THE ROLE We’re hiring a Quantitative Developer to help turn research ideas into production-grade code. You’ll help build data pipelines, implement models and ensure results are clean, reproducible and explainable. You’ll work alongside Poesis’ Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making. RESPONSIBILITIES - Rapidly implement and iterate on research ideas and model prototypes. - Clean, process, and join financial and fundamental datasets from professional and public sources. - Build and maintain processes for feature generation, back-testing, and model evaluation. - Run experiments, summarize results, and report findings to leadership. - Contribute to code quality: testing, documentation, and integration into shared systems. - Support the team in defining data schemas, APIs, and reproducibility standards. - Implement, test, and refine models, signals, and analytical workflows. - Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability. REQUIRED COMPETENCIES - Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL. - Skill working with Claude Code, Codex, or other coding agents. - Proficiency working with real-world financial datasets and building reproducible analyses or pipelines. - Understanding of statistics, regression, optimization, and ML fundamentals. - Clear communicator who can explain technical findings to non-specialists. - BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field. PREFERRED COMPETENCIES - Prior full-time experience in finance, data science, or ML engineering. - Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv. - Exposure to portfolio optimization, risk modeling, or financial time-series. - Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.). - Early-stage startup experience or demonstrated builder mindset. LOCATION Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available. BENEFITS We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more. Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees. WORKING AT POESIS As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.", "summaryDescription" : "Quantitative Developer at Poesis. Skills: Quantitative research, Model implementation, Data pipelines. Implement and iterate on research ideas. Implement model prototypes", "createdAt" : "2026-06-14T18:38:40.209", "lastUpdated" : "2026-06-16T02:57:35.521", "ingestTimestamp" : "2026-06-14T18:38:40.209", "mongoId" : "6a2c75ec74d8ee00a09388a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 280000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistics", "Regression", "Optimization", "ML fundamentals", "Clear communicator", "Quantitative research", "Model implementation", "Data pipelines", "Feature generation", "Back-testing", "Model evaluation", "Data schemas", "APIs", "Reproducibility standards", "Financial datasets", "Portfolio optimization", "Risk modeling", "Financial time-series", "Git", "Docker", "Prefect", "Airflow" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 663.41534, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308724f292fd229c0863dc", "title" : "Client Insights Analyst", "company" : "iSeatz", "industry" : "Hospitality", "salary" : { "min" : 77000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Full-Time Remote (USA)", "locations" : [ "Full-Time Remote (USA)" ], "timestamp" : "2026-06-16T08:42:22.280", "fingerprint" : "f317d1e65bb832dae5c06cb159309f39a2a004a649b31eccca994e5c649fe038", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/iseatz/jobs/5255722008", "externalId" : "5255722008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics" ], "hardSkillsList" : [ "Data validation", "Trend identification", "Result interpretation" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" }, { "name" : "Result interpretation", "level" : "intermediate" } ], "majorSkills" : "Client Insights, Data Analysis", "majorSkillsList" : [ "Client Insights", "Data Analysis" ], "coreResponsibilities" : "Identify trends, Interpret results, Troubleshoot inconsistencies, Communicate findings", "teamCollaboration" : "Collaboration; Customer focus", "domainKnowledge" : "Travel bookings; Lifestyle bookings; Digital commerce; Travel technology; Loyalty tech", "domainList" : [ "travel-bookings", "lifestyle-bookings", "digital-commerce", "travel-technology", "loyalty-tech" ], "domainSpecificKnowledge" : [ "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech" ], "toolProficiency" : [ "Tableau" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Professional development allowance", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years experience, SQL proficiency, Analytical skills, Problem-solving skills, Data validation skills", "qualificationsPreferred" : "Experience with Snowflake or similar cloud data platforms, Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products, Experience supporting client-facing analytics, reporting, or product teams, Exposure to product analytics, conversion analysis, or digital web analytics, Familiarity with data governance concepts, Familiarity with data privacy and security best practices, Tableau experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission iSeatz drives enduring brand loyalty through exceptional, connected experiences. Our digital commerce and technology solutions enable travel and lifestyle bookings for the world’s leading brands in financial services, travel, and hospitality, including American Express, IHG Hotels Tableau experience preferred Strong analytical, problem-solving, and data validation skills, with the ability to identify trends, interpret results, troubleshoot inconsistencies, and communicate findings Strong organizational, written, and verbal communication skills Awareness of responsible data handling practices Alignment with iSeatz core values, including collaboration, accountability, curiosity, and customer focus Bonus Points Experience working with Snowflake or similar cloud data platforms Experience in travel, eCommerce, marketplaces, loyalty, or digital consumer products Experience supporting client-facing analytics, reporting, or product teams Exposure to product analytics, conversion analysis, or digital web analytics Familiarity with data governance concepts and data privacy and security best practices Pay Range for this Position: $77,000—$90,000 USD Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What We Bring To The Table iSeatz has been honored as an Inc. Magazine Best Workplace for the past two years — recognition based on our commitment to transparency, trust, and open communication, as well as our efforts to foster growth for our team members beyond their current roles and responsibilities. We trust our team members to use their expertise and creativity to deliver high-quality results — without micromanagement — and support them in building careers that are as dynamic and multifaceted as the work we do. We believe there's no one-size-fits-all approach to engagement or collaboration. That’s why we strive to provide the tools, autonomy, and support employees need to succeed — while delivering exceptional products and services to our customers. We recognize that great work deserves meaningful support. At iSeatz, we provide competitive compensation and a comprehensive suite of benefits to match. Our team members enjoy robust health insurance, a 401(k) plan with company matching, generous paid time off, and up to eight weeks of paid parental leave for eligible caregivers. We’re a remote-first company that values flexibility and autonomy, and we invest in continuous learning with an annual professional development allowance. Whether you're growing your skills, your family, or your impact — we’re here to support what’s next. We Value A Diverse Workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at humanresources@iseatz.com. A Note About Joining Our Workforce At iSeatz, we're building a team of bold thinkers, innovative builders, and thoughtful collaborators — people who are excited to make an impact, grow their careers, and help shape the future of travel and loyalty tech. If you're energized by meaningful work, passionate about creating exceptional experiences, and ready to bring your unique perspective to a team that values trust, growth, and transparency — we can't wait to meet you.", "summaryDescription" : "Client Insights Analyst at iSeatz. Skills: Client Insights, Data Analysis. Identify trends. Interpret results", "postedDate" : "2026-06-16T01:22:13.039", "createdAt" : "2026-06-16T01:22:13.039", "lastUpdated" : "2026-06-16T08:42:22.280", "ingestTimestamp" : "2026-06-16T01:22:13.039", "mongoId" : "6a308724f292fd229c0863dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 77000, "salaryAnnualMax" : 90000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data validation", "Trend identification", "Result interpretation", "Client Insights", "Data Analysis", "Client-facing analytics", "Client-facing reporting", "Product analytics", "Conversion analysis", "Digital web analytics", "Travel bookings", "Lifestyle bookings", "Digital commerce", "Travel technology", "Loyalty tech", "Tableau" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 647.6204, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30514cf292fd229cefe134", "title" : "Senior User Researcher (Qualitative Focus)", "company" : "Blueprint Technologies", "industry" : "Technology", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T05:12:09.765", "fingerprint" : "e6f432a1a1df2f733819eec72cd0577eb57903797605d1f436447c6c4e61f32c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/notexternal/jobs/8008008", "externalId" : "8008008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role In this role, you will support qualitative user research efforts for a portfolio of data, analytics, and business intelligence products used by technical professionals. You will partner closely with researchers, designers, and product teams to plan and execute studies that uncover user needs, workflows, and pain points. You’ll play a hands-on role in conducting interviews and usability testing, managing research logistics, and synthesizing findings into clear, actionable insights. This position is ideal for someone who enjoys both the execution and operational sides of research and is comfortable working within complex technical domains. Responsibilities Support the planning and execution of qualitative research studies, including in-depth interviews and usability testing Conduct and assist with user interviews, contextual inquiry, and usability evaluations to understand user workflows and pain points Help manage research operations, including participant recruitment, scheduling, note-taking, and study logistics Analyze qualitative data and synthesize findings into themes, reports, and presentations Create clear, structured deliverables such as research summaries, insights decks, and documentation Maintain organized research repositories and documentation for team access and reuse Collaborate across multiple research projects, ensuring timely and high-quality execution Identify patterns in user feedback and help translate insights into product and design recommendations Ensure research activities align with privacy, consent, and compliance standards Required Qualifications Bachelor’s degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Information Science, Market Research, or a related field (or equivalent experience) 4–6+ years of experience in UX research, user research, or market research Demonstrated experience with qualitative research methods, including: Interviews Usability testing Surveys Qualitative synthesis Strong ability to analyze and communicate research findings clearly Excellent verbal and written communication skills Strong organizational skills and attention to detail Ability to manage multiple projects and deadlines independently Comfort working in technical or complex product environments Preferred Qualifications Experience researching enterprise software, technical products, or data/analytics tools Familiarity with cloud technologies, analytics platforms, or developer-focused tools Experience supporting research in technical user domains (e.g., data professionals, engineers, analysts) Exposure to end-to-end research workflows, including study design through delivery Interest in data, analytics, and modern technical workflows Experience working in fast-paced, cross-functional product teams Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $90,000– $100,000 per annum. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote", "summaryDescription" : "Senior User Researcher (Qualitative Focus) at Blueprint Technologies", "postedDate" : "2026-06-15T23:15:33.520", "createdAt" : "2026-06-15T23:15:33.520", "lastUpdated" : "2026-06-16T05:12:09.765", "ingestTimestamp" : "2026-06-15T23:15:33.520", "mongoId" : "6a30514cf292fd229cefe134", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 644.35406, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308b05f292fd229c097da6", "title" : "Qualitative Project Assistant (French speaking)", "company" : "M3USA", "industry" : "Market Research", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Qualitative Project Assistant in Madrid, Spain, adjusted for the healthcare industry and company size." }, "location" : "Madrid, MD, Spain", "locations" : [ "Madrid", "MD", "Spain" ], "timestamp" : "2026-06-16T12:35:52.489", "fingerprint" : "b6b59a43004dc6263c816acc604f1245ee9e860e78addd6e53b468451ee2e4b2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/M3USA/744000132157560-qualitative-project-assistant-french-speaking-", "externalId" : "744000132157560", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Time management", "Organizational skills", "Analytical ability", "Problem-solving ability" ], "majorSkills" : "Project coordination, Vendor management, Respondent management", "majorSkillsList" : [ "Project coordination", "Vendor management", "Respondent management" ], "coreResponsibilities" : "Coordinate qualitative projects, Assist Project Manager, Deliver projects in accordance with client specs, Coordinate with respondents, Coordinate with vendors, Coordinate with freelancers, Coordinate with translation agencies, Check quality of deliverables, Manage respondents, Manage vendors, Manage project delivery, Aide in recruitment of respondents, Recruit respondents from panel, Recruit respondents via free-finding, Call respondents, Confirm respondents, Rescreen respondents, Finalize recruitment update spreadsheets, Manage vendors for qualitative projects, Check deliverables from vendors, Negotiate costs with vendors, Negotiate costs with freelancers, Manage vendor progress, Manage freelancer progress, Maintain relationships with freelancers, Develop relationships with vendors, Liaise with clients", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Healthcare industry; Life science industry; Market research", "domainList" : [ "healthcare-industry", "life-science-industry", "market-research" ], "domainSpecificKnowledge" : [ "Healthcare industry", "Life science industry", "Market research" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Outlook", "Word" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem-solving; Analytical", "qualificationsBasic" : "Native French speaking, Microsoft Office skills, Excel skills, Outlook skills, Word skills, Ability to manage multiple research projects accurately and on-time", "qualificationsPreferred" : "Market research experience preferred, Medical/healthcare field experience preferred, Bachelor's degree or equivalent work experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Business Unit Mission: M3 Global Research, part of M3 Inc., provides the most comprehensive and highest quality market research recruitment and support services available to the industry with relationships reaching respondents in more than 70 countries worldwide. The mission of the Qualitative Project Assistant is the coordination of a qualitative projects and assisting the Project Manager in making sure projects are delivered in accordance with the specs given by the client. The Qualitative Project Assistant is one of the key players in the execution of a qualitative project, and is responsible for coordinating with respondents, vendors, freelancers, translation agencies and checking quality of the deliverables before they are passed on to the client. The Qualitative Project Assistant is accountable for successful management of respondents, vendors and delivery. Essential Duties and Responsibilities: * Candidate will aide in recruitment of respondents on a project in their local language, including recruitment from panel and free-finding * Call, confirm and rescreen respondents that participated in an online screener. * Finalize the internal and client recruitment update spreadsheets for the Project Managers * Candidate will be responsible for the management and control of the vendors selected for qualitative projects they are allocated to, and help ensure M3 achieves and exceeds client expectations * Candidate will be responsible for checking any deliverables from the vendor. * Negotiating costs with vendors and freelancers and managing their progress throughout the lifecycle of the project * Maintain and develop relationships with freelancers and vendors on behalf of M3 Global Research * On occasion, the candidate will liaise with clients on behalf of Project Managers ## Qualifications Education and Training Required: Bachelor's degree or equivalent work experience preferred. Minimum Experience: Experience in market research preferred, ideally in the medical/healthcare field. Knowledge, Skill, Ability: * Native French speaking * The candidate must be a self-motivated individual with exceptional time management, organisational skills and attention to detail. * The candidate must have well-developed analytical and problem-solving skills; ability to quickly solve problems as they present as well as proactively identify and resolve potential issues to avoid escalation. The candidate must have the ability to work autonomously and in a team environment to successfully meet study specific and departmental objectives. * The candidate must be self-motivated with the ability to prioritize and reprioritize throughout the day. * The candidate must have very strong Microsoft Office skills including Excel, Outlook and Word, and be a quick learner of new technologies/software. * The candidate must have exceptional written and verbal communication skills. * The candidate must have the ability to manage multiple research projects accurately and on-time in a fast-paced environment where moving deadlines and other changes often occur in real time. ## Additional Information #LI-LC1 #LI-Remote", "summaryDescription" : "Qualitative Project Assistant (French speaking) at M3USA. Skills: Project coordination, Vendor management, Respondent management. Coordinate qualitative projects. Assist Project Manager", "postedDate" : "2026-06-15T09:47:12.000", "createdAt" : "2026-06-16T01:41:41.453", "lastUpdated" : "2026-06-16T12:35:52.489", "ingestTimestamp" : "2026-06-16T01:41:41.453", "mongoId" : "6a308b05f292fd229c097da6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Project coordination", "Vendor management", "Respondent management", "Time management", "Organizational skills", "Analytical ability", "Problem-solving ability", "Project management", "Healthcare industry", "Life science industry", "Market research", "Microsoft Office", "Excel", "Outlook", "Word" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 634.0993, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305947f292fd229cf46678", "title" : "Qualitative Project Assistant (French speaking)", "company" : "M3USA", "industry" : "Market Research", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Qualitative Project Assistant in Madrid, Spain, adjusted for the healthcare industry and company size." }, "location" : "Madrid, MD, Spain", "locations" : [ "Madrid", "MD", "Spain" ], "timestamp" : "2026-06-16T09:41:34.889", "fingerprint" : "851f579ac3aedc1529e8dc122b03a1eccacb8669fe6a51a45a6b07be9f0ad806", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/M3USA/744000132157560-qualitative-project-assistant-french-speaking-", "externalId" : "744000132157560", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's degree", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "professionalSkills" : [ "Time management", "Organizational skills", "Analytical ability", "Problem-solving ability" ], "majorSkills" : "Project coordination, Vendor management, Respondent management", "majorSkillsList" : [ "Project coordination", "Vendor management", "Respondent management" ], "coreResponsibilities" : "Coordinate qualitative projects, Assist Project Manager, Deliver projects in accordance with client specs, Coordinate with respondents, Coordinate with vendors, Coordinate with freelancers, Coordinate with translation agencies, Check quality of deliverables, Manage respondents, Manage vendors, Manage project delivery, Aide in recruitment of respondents, Recruit respondents from panel, Recruit respondents via free-finding, Call respondents, Confirm respondents, Rescreen respondents, Finalize recruitment update spreadsheets, Manage vendors for qualitative projects, Check deliverables from vendors, Negotiate costs with vendors, Negotiate costs with freelancers, Manage vendor progress, Manage freelancer progress, Maintain relationships with freelancers, Develop relationships with vendors, Liaise with clients", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Market research; Healthcare industry; Life science industry", "domainList" : [ "market-research", "healthcare-industry", "life-science-industry" ], "domainSpecificKnowledge" : [ "Market research", "Healthcare industry", "Life science industry" ], "toolProficiency" : [ "Microsoft Office", "Excel", "Outlook", "Word" ], "communicationSkills" : "Written communication; Verbal communication", "problemSolvingSkills" : "Problem-solving; Analytical", "qualificationsBasic" : "Native French speaking, Microsoft Office skills, Excel skills, Outlook skills, Word skills, Ability to manage multiple research projects accurately and on-time", "qualificationsPreferred" : "Market research experience preferred, Medical/healthcare field experience preferred, Bachelor's degree or equivalent work experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Business Unit Mission: M3 Global Research, part of M3 Inc., provides the most comprehensive and highest quality market research recruitment and support services available to the industry with relationships reaching respondents in more than 70 countries worldwide. The mission of the Qualitative Project Assistant is the coordination of a qualitative projects and assisting the Project Manager in making sure projects are delivered in accordance with the specs given by the client. The Qualitative Project Assistant is one of the key players in the execution of a qualitative project, and is responsible for coordinating with respondents, vendors, freelancers, translation agencies and checking quality of the deliverables before they are passed on to the client. The Qualitative Project Assistant is accountable for successful management of respondents, vendors and delivery. Essential Duties and Responsibilities: * Candidate will aide in recruitment of respondents on a project in their local language, including recruitment from panel and free-finding * Call, confirm and rescreen respondents that participated in an online screener. * Finalize the internal and client recruitment update spreadsheets for the Project Managers * Candidate will be responsible for the management and control of the vendors selected for qualitative projects they are allocated to, and help ensure M3 achieves and exceeds client expectations * Candidate will be responsible for checking any deliverables from the vendor. * Negotiating costs with vendors and freelancers and managing their progress throughout the lifecycle of the project * Maintain and develop relationships with freelancers and vendors on behalf of M3 Global Research * On occasion, the candidate will liaise with clients on behalf of Project Managers ## Qualifications Education and Training Required: Bachelor's degree or equivalent work experience preferred. Minimum Experience: Experience in market research preferred, ideally in the medical/healthcare field. Knowledge, Skill, Ability: * Native French speaking * The candidate must be a self-motivated individual with exceptional time management, organisational skills and attention to detail. * The candidate must have well-developed analytical and problem-solving skills; ability to quickly solve problems as they present as well as proactively identify and resolve potential issues to avoid escalation. The candidate must have the ability to work autonomously and in a team environment to successfully meet study specific and departmental objectives. * The candidate must be self-motivated with the ability to prioritize and reprioritize throughout the day. * The candidate must have very strong Microsoft Office skills including Excel, Outlook and Word, and be a quick learner of new technologies/software. * The candidate must have exceptional written and verbal communication skills. * The candidate must have the ability to manage multiple research projects accurately and on-time in a fast-paced environment where moving deadlines and other changes often occur in real time. ## Additional Information #LI-LC1 #LI-Remote", "summaryDescription" : "Qualitative Project Assistant (French speaking) at M3USA. Skills: Project coordination, Vendor management, Respondent management. Coordinate qualitative projects. Assist Project Manager", "postedDate" : "2026-06-15T09:47:12.000", "createdAt" : "2026-06-15T23:54:14.552", "lastUpdated" : "2026-06-16T09:41:34.889", "ingestTimestamp" : "2026-06-15T23:54:14.552", "mongoId" : "6a305947f292fd229cf46678", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Project coordination", "Vendor management", "Respondent management", "Time management", "Organizational skills", "Analytical ability", "Problem-solving ability", "Project management", "Market research", "Healthcare industry", "Life science industry", "Microsoft Office", "Excel", "Outlook", "Word" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 634.0993, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c96fa74d8ee00a09910b7", "title" : "Graduate Quantitative Researcher", "company" : "IMC", "industry" : "FinTech", "salary" : { "min" : 105000.0, "max" : 135000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level Quantitative Researchers in Zug, Switzerland, adjusted for the FinTech industry and company size." }, "location" : "Zug, Switzerland", "locations" : [ "Zug", "Switzerland" ], "timestamp" : "2026-06-16T02:14:32.543", "fingerprint" : "d0dbd340ee76e4df11ba4008a8228eefb70ea2846950eb08bf306a98b9f7b594", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/imc/jobs/4892687101", "externalId" : "4892687101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zug", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.1486137,8.5539378" } ], "locationText" : "Zug, Switzerland", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++", "professionalSkills" : [ "Quantitative analysis", "Data analysis" ], "hardSkillsList" : [ "Quantitative methods" ], "hardSkills" : [ { "name" : "Quantitative methods", "level" : "intermediate" } ], "majorSkills" : "Quantitative research, Data analysis, Model development", "majorSkillsList" : [ "Quantitative research", "Data analysis", "Model development" ], "coreResponsibilities" : "Research trading ideas, Test trading ideas, Analyse datasets, Build models, Test models, Improve models, Build signals, Test signals, Improve signals, Build algorithms, Test algorithms, Improve algorithms, Work with data infrastructure, Work with software infrastructure, Work with HPC infrastructure, Collaborate with researchers, Collaborate with developers, Collaborate with engineers, Turn research into strategies, Evaluate trading opportunities", "teamCollaboration" : "Collaborate with researchers; Collaborate with developers; Collaborate with engineers", "domainKnowledge" : "Financial markets; Trading; Cryptocurrency; DeFi; Quantitative trading", "domainList" : [ "financial-markets", "trading", "cryptocurrency", "defi", "quantitative-trading" ], "domainSpecificKnowledge" : [ "Financial markets", "Trading", "Cryptocurrency", "DeFi", "Quantitative trading" ], "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Final-year student or recent graduate, Mathematics, Statistics, Physics, Computer Science, Engineering or related quantitative field, Analytical and problem-solving skills, Programming experience, Quantitative methods to real-world problems", "qualificationsPreferred" : "Python programming experience, C++ familiarity, Prior experience in trading, crypto, or financial markets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Graduate Quantitative Researcher, you will work with experienced researchers and developers in a fast-paced, data-driven environment. You will learn how trading ideas are researched, tested, and deployed, while contributing to live strategy development from early in your career. Your Core Responsibilities: Research and test data-driven trading ideas Analyse large and complex datasets from cryptocurrency exchanges, DeFi protocols, and financial markets Build, test, and improve models, signals, and algorithms that support trading strategies Work with IMC’s cutting-edge data, software, and high-performance computing infrastructure Collaborate closely with researchers, developers, and engineers to turn research into production-ready strategies Learn how to evaluate trading opportunities with a focus on performance, scalability, robustness, and risk Your Skills and Experience: Final-year student or recent graduate in Mathematics, Statistics, Physics, Computer Science, Engineering or a related quantitative field Strong analytical and problem-solving skills, with the ability to learn quickly Programming experience, ideally in Python. Familiarity with C++ is a plus A genuine interest in financial markets, trading, crypto, or DeFi Comfortable working with data and applying quantitative methods to real-world problems Curious, collaborative, and eager to take ownership in a fast-moving environment Prior experience in trading, crypto, or financial markets is helpful but not required. This is an on-site role based in Zug, Switzerland, with very limited flexibility for working from home. About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.", "summaryDescription" : "Graduate Quantitative Researcher at IMC. Skills: Quantitative research, Data analysis, Model development. Research trading ideas. Test trading ideas", "postedDate" : "2026-06-14T20:07:21.715", "createdAt" : "2026-06-14T20:07:21.715", "lastUpdated" : "2026-06-16T02:14:32.543", "ingestTimestamp" : "2026-06-14T20:07:21.715", "mongoId" : "6a2c96fa74d8ee00a09910b7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative methods", "Quantitative research", "Data analysis", "Model development", "Quantitative analysis", "Financial markets", "Trading", "Cryptocurrency", "DeFi", "Quantitative trading" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 630.2064, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65e", "title" : "Quantitative Research Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-15T05:00:42.980", "fingerprint" : "35014933c5ef34b909fb994d950ec77ba17e336901e5e3b808228540df251bce", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223730009", "externalId" : "4223730009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data science, Statistics", "professionalSkills" : [ "Securities valuation", "Quantitative research", "Investment insights" ], "hardSkillsList" : [ "Algorithmic strategies", "Predictive modeling" ], "hardSkills" : [ { "name" : "Algorithmic strategies", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" } ], "majorSkills" : "Quantitative research, Data science, Finance", "majorSkillsList" : [ "Quantitative research", "Data science", "Finance" ], "coreResponsibilities" : "Research and development of new investment models, Generate ideas for new investment insights, Apply skills and techniques in finance, Apply skills and techniques in data science, Apply skills and techniques in statistics, Collaborate with technology teams, Collaborate with portfolio management teams, Collaborate with investment process teams, Deliver exceptional investment performance", "teamCollaboration" : "Quantitative Equity team; Quantitative research team; Technology teams; Portfolio management teams; Investment process teams", "domainKnowledge" : "Financial markets; Algorithmic investment strategies; Securities valuation", "domainList" : [ "financial-markets", "algorithmic-investment-strategies", "securities-valuation" ], "domainSpecificKnowledge" : [ "Financial markets", "Algorithmic investment strategies", "Securities valuation" ], "toolProficiency" : [ "Bloomberg Terminal" ], "communicationSkills" : "Communicating complex concepts", "problemSolvingSkills" : "Analytical Mindset", "outcomesObjectives" : "Deliver top tier performance", "qualificationsBasic" : "Undergraduate degree in finance, Undergraduate degree in mathematics, Undergraduate degree in statistics, Undergraduate degree in computer science", "qualificationsPreferred" : "Graduate level studies", "rawDescription" : "We are looking for a Quantitative Research Analyst to join our fast-paced and entrepreneurial Quantitative Equity team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We combine leading edge quantitative research with state-of-the-art technology to develop our unique algorithmic investment strategies. A culture of innovation, growth and success through collaboration has enabled us to deliver top tier performance for over two decades. What You Will Do As a member of the quantitative research team, you will help tackle a broad array of challenges at the Intersection of finance, data science, and technology. We seek to identify novel predictors of business outcomes and model complex inefficiencies in constantly evolving financial markets. Our focus is on developing cutting edge and uniquely powerful investment insights. This is an exciting role for an individual who is passionate about quantitative research and wants to apply a disciplined and scientific approach to investing. You will work with key decision makers on the team and have a broad range of responsibilities, including: Research and development of new investment models Generating ideas for new investment insights Apply a variety of skills and techniques in finance, data science and statistics Collaborate with our technology, portfolio management and investment process teams to deliver exceptional investment performance What You Bring Domain Expertise – You have a deep understanding of the drivers of business success, securities valuation, and markets. You can effectively apply both creativity and discipline to sourcing and evaluating novel data sets that are useful for predicting the performance of companies and securities. Analytical Mindset – You have experience with producing rigorous quantitative research, particularly in finance, and are adept at balancing intuition with statistical validation. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science or related discipline. Graduate level studies are valuable in this role. Exceptional achievements and recognition (e.g., research or awards) are helpful in demonstrating your abilities. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The annual base salary for this position is $125,000 - $200,000 for new graduates. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, RRSP contribution matching, health benefits, and family building benefits. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and transcript. Please note, this posting is specifically for the quantitative research group and experience in academic research is usually preferred. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Research Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative research, Data science, Finance. Research and development of new investment models. Generate ideas for new investment insights", "postedDate" : "2026-06-14T04:00:17.587", "createdAt" : "2026-06-14T04:00:17.587", "lastUpdated" : "2026-06-15T05:00:42.980", "ingestTimestamp" : "2026-06-14T04:00:17.587", "mongoId" : "6a2c7c2274d8ee00a094c65e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Algorithmic strategies", "Predictive modeling", "Quantitative research", "Data science", "Finance", "Securities valuation", "Investment insights", "Financial markets", "Algorithmic investment strategies", "Bloomberg Terminal" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 630.14276, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2b74d8ee00a094c82a", "title" : "Quantitative Researcher", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Quantitative Researcher in the United States, adjusted for Seniority, FinTech industry, and Massachusetts location." }, "location" : "Massachusetts", "locations" : [ "Massachusetts" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T05:05:00.246", "fingerprint" : "582ad6193055169e82de1f1852baa0dd22b6d1d356850c35985b0295491677d1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4737145101", "externalId" : "4737145101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Massachusetts", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Massachusetts, United States", "minimumEducation" : "Master's", "technicalSkills" : "Python, R, SQL, Spark, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Alpha research", "Monetization algos", "Execution algos", "Market impact modelling", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistics", "Machine learning", "Programming", "Data handling", "Tick data analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Intellectual integrity", "Interpersonal adaptability" ], "hardSkills" : [ { "name" : "Statistics", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Tick data analysis", "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" } ], "softSkills" : [ { "name" : "Intellectual integrity" }, { "name" : "Interpersonal adaptability" } ], "majorSkills" : "Quantitative research, Machine learning, Data science, Algorithmic trading", "majorSkillsList" : [ "Quantitative research", "Machine learning", "Data science", "Algorithmic trading" ], "coreResponsibilities" : "Conduct alpha research, Design monetization algos, Design execution algos, Model market impact, Apply statistics to problems, Apply ML to problems, Handle large data sets, Handle tick data", "teamCollaboration" : "Close collaboration; Quantitative researchers; Technologists; Traders; Business people", "projectManagementSkills" : [ "Time management" ], "domainKnowledge" : "Alternative investment; Systematic strategies; Market structure; Trading venues; Asset classes; Cash Equities; Futures; FX; Options; High-frequency trading; Microstructure", "domainList" : [ "alternative-investment", "systematic-strategies", "market-structure", "trading-venues", "asset-classes", "cash-equities", "futures", "fx", "options", "high-frequency-trading", "microstructure" ], "domainSpecificKnowledge" : [ "Alternative investment", "Systematic strategies", "Market structure", "Trading venues", "Asset classes", "Cash Equities", "Futures", "FX", "Options", "High-frequency trading", "Microstructure" ], "toolProficiency" : [ "Python", "R", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Argue a point; Deal with views", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytic approach; Problem solving", "outcomesObjectives" : "Maximise realized P", "qualificationsBasic" : "Master's qualification, Quantitative subject, Analytic approach, Programming language, Python/R, Handling large data, Tick data", "qualificationsPreferred" : "PhD qualification, Knowledge of market structure, Knowledge of trading venues, Knowledge of microstructure, Experience in intraday alpha research, Experience in building ML models, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Algo Research Team Algo Research team is responsible for alpha research across a wide range of time-scales (from high-frequency up to ~48 hours), design of monetization/execution algos and market impact modelling across all major asset classes (including Cash Equities, Futures, FX, Options). We work in close collaboration with various systematic research teams across Man Group to maximise realized P recognised by peers as an expert in one’s domain Deep understanding of statistics/ML and an ability to apply it to real world problems Expertise in a high-level programming language such as Python/ R Advantageous Knowledge of market structure, participants, trading venues and microstructure of at least one of the major asset classes Experience in intraday alpha research Experience in building ML models Experience with handling large data sets and tick data Personal Attributes PhD or exceptional Masters / Bachelor’s qualification in a quantitative subject Intellectual integrity with a keenly analytic approach to problem solving Ability to deliver projects with high commercial value Hands-on attitude; willing to get involved with technology and projects across the firm Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; adaptability and ability to establish and maintain a close working relationship with quantitative researchers, technologists, traders and senior business people alike Confident communicator, able to argue a point concisely and deal positively with conflicting views The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $120,000—$140,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Researcher at Man Group. Skills: Quantitative research, Machine learning, Data science, Algorithmic trading. Conduct alpha research. Design monetization algos", "postedDate" : "2026-06-14T08:18:55.572", "createdAt" : "2026-06-14T08:18:55.572", "lastUpdated" : "2026-06-15T05:05:00.246", "ingestTimestamp" : "2026-06-14T08:18:55.572", "mongoId" : "6a2c7c2b74d8ee00a094c82a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Statistics", "Machine learning", "Programming", "Data handling", "Tick data analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Intellectual integrity", "Interpersonal adaptability", "Quantitative research", "Data science", "Algorithmic trading", "Alpha research", "Monetization algos", "Execution algos", "Market impact modelling", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Time management", "Alternative investment", "Systematic strategies", "Market structure", "Trading venues", "Asset classes", "Cash Equities", "Futures", "FX", "Options", "High-frequency trading", "Microstructure", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "R", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 58, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 628.64557, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c68ca74d8ee00a0904c50", "title" : "Quantitative Developer", "company" : "TradingHub", "industry" : "Analytics & Data", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quantitative Developer in London, UK, adjusted for the FinTech industry." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T03:36:13.356", "fingerprint" : "a5891dc60db14cae01d4de338056b5787054ced27c5889ecbb74887ecd41b7d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tradinghub/10a15c19-9c9e-4dda-b95c-e2936d618dea/application", "externalId" : "10a15c19-9c9e-4dda-b95c-e2936d618dea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Python", "professionalSkills" : [ "Financial modeling", "Risk algorithms" ], "hardSkillsList" : [ "Mathematical skills", "Analytical skills" ], "hardSkills" : [ { "name" : "Mathematical skills", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" } ], "majorSkills" : "Quantitative development, Pricing models, Financial markets", "majorSkillsList" : [ "Quantitative development", "Pricing models", "Financial markets" ], "coreResponsibilities" : "Design pricing models, Build pricing models, Validate pricing models, Create financial pricing libraries, Create calculators, Create risk algorithms, Develop financial pricing libraries, Develop calculators, Develop risk algorithms, Use in-house big data language, Perform large-scale analysis, Productionize securities data, Research market dynamics, Develop market dynamics, Prototype proprietary models, Test proprietary models, Validate proprietary models", "teamCollaboration" : "Fast-paced environment", "domainKnowledge" : "Financial markets; Multiple asset classes; Risk sensitivities; Greeks; Delta; Gamma; DV01; Derivatives; Swaps; Options; Futures", "domainList" : [ "financial-markets", "multiple-asset-classes", "risk-sensitivities", "greeks", "delta", "gamma", "dv01", "derivatives", "swaps", "options", "futures" ], "domainSpecificKnowledge" : [ "Financial markets", "Multiple asset classes", "Risk sensitivities", "Greeks", "Delta", "Gamma", "DV01", "Derivatives", "Swaps", "Options", "Futures" ], "toolProficiency" : [ "Big data language" ], "continuousLearning" : "Study leave", "innovationCreativity" : "Experiment with new ideas", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Proficiency with C#, C++ or Python, Exceptional mathematical and analytical skills, Initial industry experience as quant, Knowledge of risk sensitivities, Understanding of derivatives", "qualificationsPreferred" : "Capacity to put yourself in eyes of trader", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Quantitative Developer to contribute in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: - Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms - Using our in-house big data language for the large-scale analysis and production of securities data - Research and development of market dynamics across multiple asset classes - Prototyping, testing, and validation of TradingHub’s proprietary models Requirements - Proficiency with C#, C++ or Python - Evidence of exceptional mathematical and analytical skills - Initial industry experience working as a quant within a financial services organisation - Some knowledge of risk sensitivities or \"Greeks\" such as Delta, Gamma, DV01 etc. - Understanding of derivatives (e.g. swaps, options, futures) - Confidence to experiment with new ideas and technologies - Keen to work in a fast-paced environment Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: - Annual discretionary performance bonus (permanent employees only) - Hybrid working policy - Office lunches twice a week - Private medical insurance + dental cover - Extended parental leave (up to 6 months of fully paid maternity leave) - 25 days annual leave + bank holidays - Enhanced company pension plan - 5 days study leave towards professional qualifications - Salary sacrifice schemes - Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.", "summaryDescription" : "Quantitative Developer at TradingHub. Skills: Quantitative development, Pricing models, Financial markets. Design pricing models. Build pricing models", "createdAt" : "2026-06-14T19:20:30.123", "lastUpdated" : "2026-06-16T03:36:13.356", "ingestTimestamp" : "2026-06-14T19:20:30.123", "mongoId" : "6a2c68ca74d8ee00a0904c50", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mathematical skills", "Analytical skills", "Quantitative development", "Pricing models", "Financial markets", "Financial modeling", "Risk algorithms", "Multiple asset classes", "Risk sensitivities", "Greeks", "Delta", "Gamma", "DV01", "Derivatives", "Swaps", "Options", "Futures", "Big data language" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 615.07983, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305ffff292fd229cf840cc", "title" : "Retail Insights Manager", "company" : "SPINS", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Retail Insights Manager in Bulgaria, adjusted for a full-time remote role." }, "location" : "Remote", "locations" : [ "Remote", "Chicago", "Illinois", "United States" ], "timestamp" : "2026-06-16T08:10:16.333", "fingerprint" : "a5016047951be6731f0733443befa5cc1dfc20e996afd4165599fb55aaa4ccdf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.spins.com/work-at-spins/?gh_jid=7655949", "externalId" : "7655949", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "experienceLevel" : "Manager", "technicalSkills" : "MS Office, Excel, PowerPoint, Outlook", "professionalSkills" : [ "Analytics", "Storytelling", "Reporting efficiency" ], "hardSkillsList" : [ "Data analysis", "Strategic analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Strategic analysis", "level" : "intermediate" } ], "majorSkills" : "Retail analytics, Client management, Data insights", "majorSkillsList" : [ "Retail analytics", "Client management", "Data insights" ], "coreResponsibilities" : "Lead delivery of strategic analyses, Deliver insights and recommendations, Apply SPINS proprietary assets, Work directly with executives, Understand client opportunities, Develop growth solutions, Develop growth strategies, Partner with client, Assess reporting and tools, Improve reporting and tools, Deliver client training sessions, Ensure client captures value, Provide business growth opportunities, Bring forward thought leadership, Add value to clients, Add insights to clients", "teamCollaboration" : "Client team members; Client stakeholders", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "CPG/Retail analytics; Natural products industry", "domainList" : [ "cpg-retail-analytics", "natural-products-industry" ], "domainSpecificKnowledge" : [ "CPG/Retail analytics", "Natural products industry" ], "toolProficiency" : [ "Circana", "NielsenIQ", "SPINS", "Numerator" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Strategic analyses", "outcomesObjectives" : "Capture biggest growth opportunities; Drive client's business forward; Ensure client captures value", "qualificationsBasic" : "2-4 years CPG/Retail analytics experience, Prior experience managing client stakeholders, Prior experience in translating data, Excellent presentation skills, Prior experience with syndicated data, Intermediate MS Office skills", "qualificationsPreferred" : "Experience with Distributor or Retailer, Comfortable with complexity, Interpersonal skills, Organizational skills, Project management skills, Ability to understand customer mindset, Skilled at leveraging business relationships, Experience with natural products industry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health however, qualified applicants from other locations will be considered Retail Insights Manager Summary The Retail Team is focused on recruiting, retaining, and expanding our partnerships with retailers and distributors to ensure their sustained growth. Retail is the cornerstone of SPINS as our Retail Partners are the primary source of data fueling our front-end applications and enabling our proprietary Product Intelligence. SPINS is focused on helping our clients achieve sustained, profitable growth. The Retail Support Team uses SPINS industry-leading Natural, Organic, and Specialty Products Retail Market Information in combination with analytics and strategic analyses to generate powerful insights. This Retail Insights Manager will be working directly with clients to help them capture their biggest growth opportunities. Job Duties & Responsibilities Lead the delivery of strategic analyses, insights, and recommendations based on applying SPINS proprietary assets, in combination with the client's team members and client's information. Work directly with executives at our client company to understand their opportunities and develop growth solutions and strategies to capture them. Partner with the client to understand, continually assess, and improve reporting and tools to continue to drive forward the client's business. Deliver client training sessions to ensure client captures value of the SPINS assets and provide business growth opportunities. Brings forward relevant SPINS and 3rd party thought leadership to add additional value and insights to assigned clients. Requirements: Education & Experience 2-4 years CPG/Retail analytics experience in with a Distributor, Retailer, CPG company, or Market Research firm Prior experience managing client stakeholders and multiple projects concurrently Prior experience in translating data and using analyses in storytelling and reporting efficiency Excellent presentation skills and is very comfortable presenting to clients Initiative, creativity and a passion to deliver results that make a difference to our client Self-starter, with strong intellectual curiosity Prior experience with syndicated data such as Circana (IRi), NielsenIQ, SPINS, Numerator, etc. Intermediate knowledge/skills in MS Office (Excel, PowerPoint, Outlook) The following is strongly preferred: Experience with Distributor or Retailer Comfortable with complexity Interpersonal, organizational and project management skills Ability to understand the customer mindset and offer solutions Skilled at leveraging business relationships at all levels within the organization Experience with the natural products industry Salary Range: $80,000 to $90,000 Note: Applicants must be authorized to work for any US employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time. #LI-SB1 #LI-Hybrid What SPINS Offers We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down! While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. We embrace hybrid work options so that you have the flexibility to create a work/life balance that actually works! Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched. Semi-annual company-wide employee survey that is used to shape company programs, perks, and culture. The SPINS Way Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback. Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action. Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths. Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution. For details about the information SPINS’s collects about our applicants and how we use it, please see the SPINS Privacy Policy here.", "summaryDescription" : "Retail Insights Manager at SPINS. Skills: Retail analytics, Client management, Data insights. Lead delivery of strategic analyses. Deliver insights and recommendations", "postedDate" : "2026-06-15T23:22:36.694", "createdAt" : "2026-06-15T23:22:36.694", "lastUpdated" : "2026-06-16T08:10:16.333", "ingestTimestamp" : "2026-06-15T23:22:36.694", "mongoId" : "6a305ffff292fd229cf840cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Strategic analysis", "Retail analytics", "Client management", "Data insights", "Analytics", "Storytelling", "Reporting efficiency", "Project management", "CPG/Retail analytics", "Natural products industry", "Circana", "NielsenIQ", "SPINS", "Numerator" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 614.1829, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "69f9b8024c40e2acd1114014", "title" : "UX Researcher, GREF, Customer Insights", "company" : "Amazon.com Services LLC", "industry" : "Design, finance", "salary" : { "min" : 130100.0, "max" : 176000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:14:29.018", "fingerprint" : "b1dceb1d6ad18e529978805da182917c7ad9a223c4bf9afc753f0350c0fd4d98", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10410329/apply", "externalId" : "92e9f5ff-c275-4470-9ba0-b8bd4828be56", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Customer Insights", "Workplace journey", "Workplace programs", "Service strategies", "Communications strategies", "Foundational insights", "Product initiatives", "Program initiatives", "Real estate transactions", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Program management", "Facility maintenance", "Operations" ], "hardSkillsList" : [ "Mixed method research", "Qualitative research", "Quantitative research", "Data collection", "Analysis", "Reporting", "Study design", "Moderation", "Survey design", "Survey development", "Survey programming", "Survey analysis" ], "softSkillsList" : [ "Ownership", "Think Big", "Move fast", "Challenge one another", "Collaborating", "Unique perspectives", "Thrive in ambiguity" ], "hardSkills" : [ { "name" : "Mixed method research", "level" : "intermediate" }, { "name" : "Qualitative research", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Study design", "level" : "intermediate" }, { "name" : "Moderation", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Survey development", "level" : "intermediate" }, { "name" : "Survey programming", "level" : "intermediate" }, { "name" : "Survey analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Think Big" }, { "name" : "Move fast" }, { "name" : "Challenge one another" }, { "name" : "Collaborating" }, { "name" : "Unique perspectives" }, { "name" : "Thrive in ambiguity" } ], "majorSkills" : "Mixed method research, Qualitative research, Quantitative research, User Research", "majorSkillsList" : [ "Mixed method research", "Qualitative research", "Quantitative research", "User Research" ], "coreResponsibilities" : "Drive and implement qualitative and quantitative research, Own research process end to end, Contribute to high-impact research initiatives, Inform workplace programs, services, and communications strategies, Lead collection, synthesis, and communication of foundational insights, Cultivate relationships with key partners, Identify learning opportunities, Design and execute generative and evaluative research studies, Lead vendor management of outsourced studies, Engage in strategic discussion with partner teams, Ensure research generates actionable findings", "teamCollaboration" : "Global partners; Partner teams; Key partners; Customer Insights team; Business Insights; Creative + UX Design; Communications", "projectManagementSkills" : [ "Program initiatives", "Program management" ], "domainKnowledge" : "Workplace experience; Employee experience; Amazonians; Corporate offices; Global context", "domainList" : [ "workplace-experience", "employee-experience", "amazonians", "corporate-offices", "global-context" ], "domainSpecificKnowledge" : [ "Workplace experience", "Employee experience", "Amazonians", "Corporate offices", "Global context" ], "communicationSkills" : "Written communication; Verbal communication; Communicate with technical audiences; Communicate with non-technical audiences; Communicate with senior leadership", "documentationSkills" : "Study plans; Reports; Personas", "innovationCreativity" : "Creative solutions; Creative outputs", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "qualificationsBasic" : "Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or related field, 3+ years proven success leading User Research projects, Experience with all aspects of research, Portfolio demonstrating past work experience and deliverables, Experience in vendor management, 2+ years quantitative survey design, development, programming and analysis", "qualificationsPreferred" : "Experience conducting and applying research in a global context, Experience in written and verbal communication skills, Can work proactively and independently, Meet deadlines, Deliver on projects and tasks, Ability to lead at least 4-hours of qualitative research a day", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is a unique opportunity to help shape the workplace experience for Amazonians around the world. The Global Real Estate and Facilities (GREF) organization is responsible for creating the spaces that inspire Amazonians to make history. The globally diverse team manages Amazon’s corporate offices in more than 60 countries. GREF provides real estate transactions expertise, business partnering, space and occupancy planning, design and construction, capital investment program management, facility maintenance, and operations all contributing to the employee experience and leveraging places and programs to enable culture to thrive at Amazon. Within GREF, the Customer Insights team represents the voice of the Amazonian throughout the workplace journey. We surface insights that help GREF deliver a workplace experience that enables Amazonians to do their best work while at the office. We are seeking an experienced mixed method researcher to join our growing Customer Insights team. As UX Researcher based in Arlington, VA or Seattle, WA, you will be responsible for driving and implementing both qualitative and quantitative research with global partners – owning the process end to end, from data collection to analysis and reporting. You will contribute to high-impact research initiatives that directly inform workplace programs, services, and communications strategies. You will lead the collection, synthesis, and communication of foundational insights across a variety of workplace dimensions, going beyond digital products typically associated with UX research. You will be required to work with minimal direction and be capable of working quickly while delivering high-quality outputs. You will work on overlapping projects, which require the ability to multi-task and juggle competing priorities. The right candidate will understand both qualitative and quantitative research methods, have hands on research experience, and demonstrate best practices while also being flexible, creative, and pragmatic. The candidate must be able to balance frugality with creativity in offering solutions, and approach problem-solving with an emphasis on root cause. Key job responsibilities - Cultivate relationships with key partners to identify learning opportunities that support product and program initiatives, and ladder into top organization priorities - Design and execute both generative and evaluative research studies, leading vendor management of outsourced studies, when necessary - Engage in strategic discussion with partner teams to ensure research generates actionable findings About the team This role will be a key within the Customer Insights team. Key functions within this team include, Business Insights, Creative + UX Design, and Communications. We are customer obsessed, and index high on Ownership. We Think Big, and move fast, and constantly challenge one another while collaborating on \"what else\", \"how might we\", and \"how can I help\". We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity. Basic Qualifications: - Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field - 3+ years of proven success leading User Research projects with demonstrated impact experience - Experience (end to end) with all aspects of research (study design, recruiting, moderation, analysis, reporting) - Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas) - Experience in vendor management - 2+ years quantitative survey design, development, programming and analysis Preferred Qualifications: - Experience conducting and applying research in a global context - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Can work proactively and independently, meet deadlines, and deliver on projects and tasks - Ability to lead at least 4-hours of qualitative research a day Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 130,100.00 - 176,000.00 USD annually USA, WA, Seattle - 130,100.00 - 176,000.00 USD annually", "summaryDescription" : "UX Researcher, GREF, Customer Insights at Amazon.com Services LLC. Skills: Mixed method research, Qualitative research, Quantitative research, User Research. Drive and implement qualitative and quantitative research. Own research process end to end", "postedDate" : "2026-06-13T05:34:28.570", "createdAt" : "2026-06-13T05:34:28.570", "lastUpdated" : "2026-06-15T01:14:29.018", "ingestTimestamp" : "2026-06-13T05:34:28.570", "mongoId" : "69f9b8024c40e2acd1114014", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10410329/apply", "salaryAnnualMin" : 130100, "salaryAnnualMax" : 176000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Mixed method research", "Qualitative research", "Quantitative research", "Data collection", "Analysis", "Reporting", "Study design", "Moderation", "Survey design", "Survey development", "Survey programming", "Survey analysis", "Ownership", "Think Big", "Move fast", "Challenge one another", "Collaborating", "Unique perspectives", "Thrive in ambiguity", "User Research", "Customer Insights", "Workplace journey", "Workplace programs", "Service strategies", "Communications strategies", "Foundational insights", "Product initiatives", "Program initiatives", "Real estate transactions", "Space planning", "Occupancy planning", "Design and construction", "Capital investment", "Program management", "Facility maintenance", "Operations", "Workplace experience", "Employee experience", "Amazonians", "Corporate offices", "Global context" ], "skillCount" : 41, "jobCategory" : "design", "dataQualityScore" : 1.0, "_score" : 601.56476, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b5574d8ee00a09115d8", "title" : "Quantitative Trader", "company" : "Tower Research Capital", "industry" : "FinTech", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Quantitative Trader in New York, adjusted for mid-seniority and FinTech industry." }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-15T22:18:02.314", "fingerprint" : "07c3641e8501e6ed9094b06500d7942cae99bedbfbb61f0debdcaadebb167145", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.tower-research.com/open-positions/?gh_jid=8001169", "externalId" : "8001169", "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", "minimumEducation" : "Bachelor's", "remoteFriendly" : true, "rawDescription" : "Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Design, implement and deploy trading algorithms Support live trade strategies in production Research high to mid frequency alphas Explore trading ideas by analyzing market data, market microstructure and alternate data for patterns Present research results transparently and convincingly Create tools to analyze data for patterns and develop data platforms Contribute to libraries of analytical computations to support market data analysis and trading Develop, augment and calibrate exchange simulators Part-time work from home benefits Qualifications Bachelor’s degree or foreign equivalent in Mathematics, Statistics, Computer Science, or related STEM field Experience may be gained from coursework or internship. Must have experience with the following: Derivatives pricing and stochastic calculus Machine Learning including LLM Probability Theory Mathematics and statistics Back-testing, simulation, and statistical techniques, including auto-regression, auto-correlation and Principal Component Analysis Data mining and analysis skills, including experience dealing with a large amount of data Signal generation and statistical models Programming skills in Python or C++ Anticipated New York annual base salary range $125,000-$250,000, plus eligible for discretionary bonus. If interested, in addition to applying here you can email your resume indicating job # ID 00088964 to: Tower HR at us-ta@tower-research.com. Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer. #LI-DNI", "summaryDescription" : "Quantitative Trader at Tower Research Capital", "postedDate" : "2026-06-14T18:00:11.985", "createdAt" : "2026-06-14T18:00:11.985", "lastUpdated" : "2026-06-15T22:18:02.314", "ingestTimestamp" : "2026-06-14T18:00:11.985", "mongoId" : "6a2c6b5574d8ee00a09115d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 450000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 596.5272, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308b88f292fd229c09974f", "title" : "Sr. Analyst, Consumer Insights", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Consumer Insights in New York, with adjustments for the media industry and company size." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T11:30:39.913", "fingerprint" : "910f08e64e95991f9126785a52ce0d20b067df8ef4af22aa857d7b5acf6e77e9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968293-sr-analyst-consumer-insights", "externalId" : "744000131968293", "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", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Excel", "professionalSkills" : [ "Data analysis", "Market research", "Statistical modeling" ], "hardSkillsList" : [ "Consumer behavior analysis", "Survey design", "Data visualization" ], "hardSkills" : [ { "name" : "Consumer behavior analysis", "level" : "intermediate" }, { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Consumer Insights, Data Analysis, Market Research", "majorSkillsList" : [ "Consumer Insights", "Data Analysis", "Market Research" ], "coreResponsibilities" : "Design and execute consumer research studies, Analyze quantitative and qualitative data, Identify key consumer trends and insights, Develop compelling data visualizations, Present findings and recommendations to stakeholders, Collaborate with marketing and product teams, Monitor and report on key performance indicators, Contribute to strategic decision-making", "teamCollaboration" : "Marketing teams; Product teams; Cross-functional stakeholders", "projectManagementSkills" : [ "Project planning", "Timeline management" ], "domainKnowledge" : "Consumer behavior; Market dynamics; Brand strategy", "domainList" : [ "consumer-behavior", "market-dynamics", "brand-strategy" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market dynamics", "Brand strategy" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel", "SQL" ], "communicationSkills" : "Presentation skills; Reporting", "documentationSkills" : "Research reports", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "outcomesObjectives" : "Drive data-informed business decisions; Improve consumer understanding; Inform product development", "qualificationsBasic" : "5+ years of experience in consumer insights, Bachelor's degree in a related field", "qualificationsPreferred" : "Master's degree preferred, Experience with advanced statistical techniques, Experience with qualitative research methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Versant, an industry-leading news, sports and entertainment media business that provides content through a portfolio of iconic television networks (MS NOW, CNBC, USA Network, Golf Channel, E!, SYFY and Oxygen) and complementary digital assets (Fandango, Rotten Tomatoes, GolfNow and SportsEngine), is seeking a Consumer Insights Senior Analyst who is energized by the idea of contributing to the growth of a new company within a fast-paced media landscape. This position is part of the Consumer Insights team and, in collaboration with members of the broader Data Insights & Strategic Analytics department, will play a pivotal role in developing a deep understanding of media audiences and their perceptions and attitudes towards Versant portfolio brands. The Senior Analyst will contribute to research studies from design through execution in support of brand and audience strategy, including but not limited to: a portfolio-wide brand tracking study, audience segmentations, market sizing, competitive benchmarking, and cross-platform brand research. Your insights will directly influence marketing, programming, product, and audience strategies across linear and digital platforms. The ideal candidate for this role is someone who loves tackling tough questions, has a passion for consumer insights and a knack for quantitative analysis, is genuinely interested in the evolving media industry, and is motivated to juggle many projects and priorities. Responsibilities: * Collaborate with Consumer Insights colleagues and the broader Data Insights department to support ongoing research needs and custom research studies * Assist with primary research studies from start to finish, including research design, writing surveys and discussion guides, fielding, analyzing and interpreting results, and compiling presentations * Play a key role in administering and operating a complex, portfolio-wide brand tracking study, partnering with vendors to oversee regular fielding, incorporate questions from stakeholders, interpret results, and flag potential issues * Synthesize information from multiple data sets and secondary research to develop insights and help internal stakeholders stay on top of brand and audience trends * Contribute to story-driven, executive-friendly presentations * Assist with team project management and administrative duties as needed ## Qualifications * 2+ years of experience with primary research, preferably in media, entertainment, or a related industry * A knack for digging into data to identify insights beyond the obvious or surface-level * Ability to learn various tools and interfaces for conducting research and visualizing results (e.g., Qualtrics, MRI, YouGov, DisplayR, etc.) * Excellent written and verbal communication skills * Attention to detail and strong analytical skills * Excel and PowerPoint proficiency * Knowledge and passion for TV and digital media, including entertainment, sports, and/or news * Bachelor’s degree - preferably in business, communications, marketing, psychology, social sciences, or a related field Desired Characteristics: * Demonstrated enthusiasm for audience research * Experience supporting ongoing brand tracking programs * Comfort using AI-assisted methodologies & resources to execute research * Ability to work as part of a team, handle multiple assignments, and meet deadlines in a fast-paced environment * Proactive problem solver * Proficiency with tools including SPSS, R, or Python for statistical analysis is a plus (but not required) Additional Information: Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $70,000 - $90,000 ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr. Analyst, Consumer Insights at Versant. Skills: Consumer Insights, Data Analysis, Market Research. Design and execute consumer research studies. Analyze quantitative and qualitative data", "postedDate" : "2026-06-12T18:44:43.000", "createdAt" : "2026-06-16T03:31:12.619", "lastUpdated" : "2026-06-16T11:30:39.913", "ingestTimestamp" : "2026-06-16T03:31:12.619", "mongoId" : "6a308b88f292fd229c09974f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Consumer behavior analysis", "Survey design", "Data visualization", "Consumer Insights", "Data Analysis", "Market Research", "Data analysis", "Market research", "Statistical modeling", "Project planning", "Timeline management", "Consumer behavior", "Market dynamics", "Brand strategy", "Tableau", "Power BI", "Excel", "SQL" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 596.51434, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d29f292fd229cf64d6a", "title" : "Sr. Analyst, Consumer Insights", "company" : "Versant", "industry" : "Entertainment", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst, Consumer Insights in New York, with adjustments for the media industry and company size." }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "timestamp" : "2026-06-16T10:55:19.740", "fingerprint" : "7342b3eec37315d01f53579999931f6f900c68db8b1ece44a9f76846180027e9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Versant3/744000131968293-sr-analyst-consumer-insights", "externalId" : "744000131968293", "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", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Excel, Statistical software", "professionalSkills" : [ "Consumer behavior analysis", "Market research", "Data interpretation", "Strategic thinking" ], "hardSkillsList" : [ "Survey design", "Statistical analysis", "Data visualization", "Reporting" ], "hardSkills" : [ { "name" : "Survey design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Consumer Insights, Data Analysis, Market Research", "majorSkillsList" : [ "Consumer Insights", "Data Analysis", "Market Research" ], "coreResponsibilities" : "Design and execute consumer research studies, Analyze quantitative and qualitative data, Identify key consumer trends and insights, Develop actionable recommendations for product and marketing teams, Present findings and insights to stakeholders, Collaborate with cross-functional teams, Monitor market trends and competitive landscape", "teamCollaboration" : "Cross-functional teams; Product teams; Marketing teams", "projectManagementSkills" : [ "Project planning", "Timeline management" ], "domainKnowledge" : "Consumer behavior; Market research methodologies; Brand strategy", "domainList" : [ "consumer-behavior", "market-research-methodologies", "brand-strategy" ], "domainSpecificKnowledge" : [ "Consumer behavior", "Market research methodologies", "Brand strategy" ], "toolProficiency" : [ "Tableau", "Power BI", "Excel", "Statistical software" ], "communicationSkills" : "Presentation skills; Report writing", "documentationSkills" : "Research reports", "problemSolvingSkills" : "Data interpretation; Root cause analysis", "outcomesObjectives" : "Drive product innovation; Inform marketing strategies; Improve customer understanding", "qualificationsBasic" : "5+ years of experience in consumer insights, Bachelor's degree in a related field", "qualificationsPreferred" : "Master's degree preferred, Experience with advanced statistical techniques, Experience with survey design and analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant’s sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Versant, an industry-leading news, sports and entertainment media business that provides content through a portfolio of iconic television networks (MS NOW, CNBC, USA Network, Golf Channel, E!, SYFY and Oxygen) and complementary digital assets (Fandango, Rotten Tomatoes, GolfNow and SportsEngine), is seeking a Consumer Insights Senior Analyst who is energized by the idea of contributing to the growth of a new company within a fast-paced media landscape. This position is part of the Consumer Insights team and, in collaboration with members of the broader Data Insights & Strategic Analytics department, will play a pivotal role in developing a deep understanding of media audiences and their perceptions and attitudes towards Versant portfolio brands. The Senior Analyst will contribute to research studies from design through execution in support of brand and audience strategy, including but not limited to: a portfolio-wide brand tracking study, audience segmentations, market sizing, competitive benchmarking, and cross-platform brand research. Your insights will directly influence marketing, programming, product, and audience strategies across linear and digital platforms. The ideal candidate for this role is someone who loves tackling tough questions, has a passion for consumer insights and a knack for quantitative analysis, is genuinely interested in the evolving media industry, and is motivated to juggle many projects and priorities. Responsibilities: * Collaborate with Consumer Insights colleagues and the broader Data Insights department to support ongoing research needs and custom research studies * Assist with primary research studies from start to finish, including research design, writing surveys and discussion guides, fielding, analyzing and interpreting results, and compiling presentations * Play a key role in administering and operating a complex, portfolio-wide brand tracking study, partnering with vendors to oversee regular fielding, incorporate questions from stakeholders, interpret results, and flag potential issues * Synthesize information from multiple data sets and secondary research to develop insights and help internal stakeholders stay on top of brand and audience trends * Contribute to story-driven, executive-friendly presentations * Assist with team project management and administrative duties as needed ## Qualifications * 2+ years of experience with primary research, preferably in media, entertainment, or a related industry * A knack for digging into data to identify insights beyond the obvious or surface-level * Ability to learn various tools and interfaces for conducting research and visualizing results (e.g., Qualtrics, MRI, YouGov, DisplayR, etc.) * Excellent written and verbal communication skills * Attention to detail and strong analytical skills * Excel and PowerPoint proficiency * Knowledge and passion for TV and digital media, including entertainment, sports, and/or news * Bachelor’s degree - preferably in business, communications, marketing, psychology, social sciences, or a related field Desired Characteristics: * Demonstrated enthusiasm for audience research * Experience supporting ongoing brand tracking programs * Comfort using AI-assisted methodologies & resources to execute research * Ability to work as part of a team, handle multiple assignments, and meet deadlines in a fast-paced environment * Proactive problem solver * Proficiency with tools including SPSS, R, or Python for statistical analysis is a plus (but not required) Additional Information: Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $70,000 - $90,000 ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [candidateaccessibility@versantmedia.com](mailto:candidateaccessibility@versantmedia.com). VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.", "summaryDescription" : "Sr. Analyst, Consumer Insights at Versant. Skills: Consumer Insights, Data Analysis, Market Research. Design and execute consumer research studies. Analyze quantitative and qualitative data", "postedDate" : "2026-06-12T18:44:43.000", "createdAt" : "2026-06-16T00:14:31.452", "lastUpdated" : "2026-06-16T10:55:19.740", "ingestTimestamp" : "2026-06-16T00:14:31.452", "mongoId" : "6a305d29f292fd229cf64d6a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Survey design", "Statistical analysis", "Data visualization", "Reporting", "Consumer Insights", "Data Analysis", "Market Research", "Consumer behavior analysis", "Market research", "Data interpretation", "Strategic thinking", "Project planning", "Timeline management", "Consumer behavior", "Market research methodologies", "Brand strategy", "Tableau", "Power BI", "Excel", "Statistical software" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 596.51434, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa48d", "title" : "Senior Product Manager, Customer Insights", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in the Technology industry in Bulgaria, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T14:16:35.966", "fingerprint" : "56e8fa47f44e1c7b8c9c002705dc5ea8b623e0e0632b525829b26b2b7fa2b4b0", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/9d2c7764-9446-41ad-b871-65cc97ea5795/apply", "externalId" : "9d2c7764-9446-41ad-b871-65cc97ea5795", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Natural language processing", "professionalSkills" : [ "Roadmap development", "Prioritization", "Data architecture", "Metrics design", "Analytical frameworks", "Stakeholder management", "Cross-functional collaboration", "Product strategy" ], "hardSkillsList" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Instrumentation strategies", "level" : "intermediate" }, { "name" : "Metrics design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytical frameworks", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" } ], "majorSkills" : "Customer Insights, Data Products, AI-powered insights", "majorSkillsList" : [ "Customer Insights", "Data Products", "AI-powered insights" ], "coreResponsibilities" : "Own Customer Insights product area, Define usage data architecture, Ensure data quality, Ensure data scalability, Align business metrics, Design reporting experiences, Enhance analytics experiences, Design dashboard experiences, Enhance audit logs experiences, Design API experiences, Drive AI-powered insights vision, Implement AI-powered insights, Collaborate with Sales teams, Collaborate with Customer Success teams, Translate insights into narratives, Engage with enterprise stakeholders, Understand stakeholder needs, Validate stakeholder priorities, Ensure solutions meet requirements, Partner with adjacent product teams, Create seamless experiences, Transform business questions, Develop user-centric solutions", "teamCollaboration" : "Cross-functional collaboration; Work with engineering teams; Work with data teams; Partner with adjacent product teams; Collaborate with Sales teams; Collaborate with Customer Success teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization" ], "domainKnowledge" : "Customer retention; Customer growth; Value measurement; Enterprise administrators; AI-native user experiences; Intelligent analytics; Governance requirements; Compliance requirements; Operational requirements; Identity management; Security domains; Compliance domains; Enterprise analytics", "domainList" : [ "customer-retention", "customer-growth", "value-measurement", "enterprise-administrators", "ai-native-user-experiences", "intelligent-analytics", "governance-requirements", "compliance-requirements", "operational-requirements", "identity-management", "security-domains", "compliance-domains", "enterprise-analytics" ], "domainSpecificKnowledge" : [ "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "communicationSkills" : "Stakeholder management; Customer narratives", "innovationCreativity" : "AI-powered insights capabilities", "problemSolvingSkills" : "Transform complex business questions", "outcomesObjectives" : "Support customer renewals; Support expansion opportunities; Meet governance requirements; Meet compliance requirements; Meet operational requirements", "qualificationsBasic" : "4+ years product management experience, 2+ years building analytics/reporting/BI/data products, Expertise in data products, Experience with data modeling, Experience with instrumentation strategies, Experience with metrics design, Experience with data pipelines, Experience with analytical frameworks, Ability to work with engineering teams, Ability to work with data teams, Experience developing AI-enabled products, Proven success translating business needs, Experience partnering with customer-facing teams", "qualificationsPreferred" : "Experience building enterprise administration products, Experience building governance products, Experience building identity management products, Experience building security products, Experience building compliance products, Experience building audit-related products, Background in business intelligence platforms, Background in analytics solutions, Background in data-focused products, Experience designing customer-facing APIs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own the Customer Insights product area end-to-end, including strategy, roadmap development, prioritization, and execution across data foundations and customer-facing experiences. Define and evolve the underlying usage data architecture, ensuring data quality, scalability, and alignment with business metrics that support customer retention, growth, and value measurement. Design and enhance reporting, analytics, dashboards, audit logs, and API experiences that deliver actionable insights to enterprise administrators, executives, and internal teams. Drive the vision and implementation of AI-powered insights capabilities, including natural language interactions, proactive analytics, and intelligent workflows. Collaborate closely with Sales and Customer Success teams to translate product insights into compelling customer narratives that support renewals and expansion opportunities. Engage directly with enterprise stakeholders to understand needs, validate priorities, and ensure solutions meet governance, compliance, and operational requirements. Partner with adjacent product teams to create seamless experiences across administration, identity management, security, and compliance domains. Transform complex and ambiguous business questions into scalable, user-centric product solutions. Requirements 4+ years of product management experience, including at least 2 years building analytics, reporting, business intelligence, or data-driven products for administrative or business users. Strong expertise in data products, including experience with data modeling, instrumentation strategies, metrics design, data pipelines, and analytical frameworks. Demonstrated ability to work effectively with engineering and data teams while balancing technical considerations such as aggregation, data freshness, granularity, and scalability. Experience developing or contributing to AI-enabled products, with a strong understanding of emerging trends in AI-native user experiences and intelligent analytics. Proven success translating complex business needs into intuitive and impactful product experiences. Experience partnering with customer-facing teams to support customer engagement, retention, and growth initiatives. Exceptional communication, stakeholder management, and cross-functional collaboration skills. Ability to thrive in fast-paced environments and navigate ambiguity with confidence. Preferred Qualifications Experience building enterprise administration, governance, identity management, security, compliance, or audit-related products. Background in business intelligence platforms, analytics solutions, or data-focused products. Experience designing customer-facing APIs for analytics, reporting, or data access use cases. Benefits Competitive base salary ranging from $160,000 to $215,000, depending on location, experience, and qualifications. Performance-based bonus opportunities. Comprehensive benefits package. Opportunity to shape the future of enterprise analytics and AI-driven insights. High-impact role with significant ownership and visibility across the organization. Collaborative and cross-functional work environment. Exposure to enterprise-scale products, customers, and strategic initiatives. Inclusive workplace committed to equal opportunity and reasonable accommodations for individuals with disabilities. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Product Manager, Customer Insights. Skills: Customer Insights, Data Products, AI-powered insights. Own Customer Insights product area. Define usage data architecture", "postedDate" : "2026-06-15T08:52:20.464", "createdAt" : "2026-06-15T08:52:20.464", "lastUpdated" : "2026-06-16T14:16:35.966", "ingestTimestamp" : "2026-06-16T03:25:24.529", "mongoId" : "6a30511af292fd229cefa48d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Instrumentation strategies", "Metrics design", "Data pipelines", "Analytical frameworks", "API design", "Customer Insights", "Data Products", "AI-powered insights", "Roadmap development", "Prioritization", "Data architecture", "Stakeholder management", "Cross-functional collaboration", "Product strategy", "Customer retention", "Customer growth", "Value measurement", "Enterprise administrators", "AI-native user experiences", "Intelligent analytics", "Governance requirements", "Compliance requirements", "Operational requirements", "Identity management", "Security domains", "Compliance domains", "Enterprise analytics" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 590.76373, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c2274d8ee00a094c659", "title" : "Product Analyst, Quantitative Equities", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-16T04:05:21.995", "fingerprint" : "0a6e22741b0c6ac623428d3a10d3a5b720daf7eb93b00fbb01b97437031da4c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4274259009", "externalId" : "4274259009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Quantitative analysis, Financial modeling, Data analysis", "majorSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "coreResponsibilities" : "Develop and maintain quantitative models, Perform data analysis, Generate reports, Support trading strategies, Conduct market research, Collaborate with portfolio managers, Assist with risk management", "teamCollaboration" : "Portfolio managers; Traders; Risk management team", "domainKnowledge" : "Equities; Fixed income; Derivatives; Risk management; Quantitative finance", "domainList" : [ "equities", "fixed-income", "derivatives", "risk-management", "quantitative-finance" ], "domainSpecificKnowledge" : [ "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report generation; Presentation skills", "documentationSkills" : "Model documentation", "problemSolvingSkills" : "Quantitative analysis; Data analysis", "outcomesObjectives" : "Enhance investment strategies; Improve risk-adjusted returns; Provide timely market insights", "qualificationsBasic" : "2+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, CFA charterholder preferred, FRM certification preferred, Experience with Python preferred, Experience with R preferred, Experience with SQL preferred, Experience with Bloomberg Terminal preferred, Experience with Reuters Eikon preferred, Experience with FactSet preferred", "remoteFriendly" : false, "rawDescription" : "We are looking for a Product Analyst to support our globally recognized quantitative investment platform. We combine quantitative research with leading-edge technology to develop differentiated algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. Today, our clients entrust us with over US$60 billion in assets under management across a range of investment mandates. The successful candidate will contribute directly to analysis and research that translate a quantitative investment process into clear, credible content for institutional investors. This is a high-impact role for someone who combines technical depth, sound judgment, and strong communication skills. What You Will Do Working closely with the Quantitative Equity, Client Solutions, and Institutional Sales teams, the Product Analyst will support a broad range of activities, including: Investment Content Development – Develop materials that resonate with internal/external stakeholders by clearly and succinctly relating a complex investment process to developments in markets and portfolios. Business Development – Support initiatives that contribute to the long-term growth and success of the Quantitative Equity platform. Cross-Team Engagement – Build strong relationships with internal stakeholders in order to improve systems, processes, and communications across teams. External Presence – Represent the Quantitative Equity team in meetings with institutional clients, prospects, and consultants. What You Bring Academic background in finance, economics, statistics, mathematics, engineering, data science or a related quantitative discipline. 2 – 5 years of work experience on a quantitative or systematic investment team. Working understanding of factor investing frameworks, portfolio construction and optimization principles, performance attribution and risk decomposition, and empirical research methods. Demonstrated ability to critically and creatively analyze large financial datasets, with a high level of attention to detail. Experience developing external-facing analysis or thought leadership, and ideally presenting this content to stakeholders. Exceptional written and verbal communication skills, with the ability to explain complex quantitative concepts clearly and concisely. A collaborative spirit that enables successful working relationships with a large number of internal and external stakeholders. CFA designation or progress toward completion is an asset. We welcome applications from candidates with different levels of experience. The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. We thank all applicants for their interest, however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Product Analyst, Quantitative Equities at Connor, Clark & Lunn Investment Management. Skills: Quantitative analysis, Financial modeling, Data analysis. Develop and maintain quantitative models. Perform data analysis", "postedDate" : "2026-06-14T19:11:56.124", "createdAt" : "2026-06-14T19:11:56.124", "lastUpdated" : "2026-06-16T04:05:21.995", "ingestTimestamp" : "2026-06-14T19:11:56.124", "mongoId" : "6a2c7c2274d8ee00a094c659", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis", "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance", "CFA", "FRM", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 584.5336, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. 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Core supervision; High-level exposure; Discuss research results; Present research results; Incorporate feedback", "projectManagementSkills" : [ "End-to-end research project ownership" ], "domainKnowledge" : "Systematic equity; Alpha signals; Medium-frequency; Statistical arbitrage; Predictive value; Systematic trading; Complex datasets; Real-world data", "domainList" : [ "systematic-equity", "alpha-signals", "medium-frequency", "statistical-arbitrage", "predictive-value", "systematic-trading", "complex-datasets", "real-world-data" ], "domainSpecificKnowledge" : [ "Systematic equity", "Alpha signals", "Medium-frequency", "Statistical arbitrage", "Predictive value", "Systematic trading", "Complex datasets", "Real-world data" ], "communicationSkills" : "Communicate complex results; Present research results", "documentationSkills" : "Document work cleanly", "continuousLearning" : "Mentorship", "problemSolvingSkills" : "Rigorous backtesting; Diagnosing overfitting; Questioning assumptions", "outcomesObjectives" : "Iterate towards deployable outcomes", "qualificationsBasic" : "Bachelor's in computer science, Bachelor's in statistics, Bachelor's in machine learning, Bachelor's in signal processing, Bachelor's in optimization, Bachelor's in mathematics, Bachelor's in physics, Master's in computer science, Master's in statistics, Master's in machine learning, Master's in signal processing, Master's in optimization, Master's in mathematics, Master's in physics, PhD in computer science, PhD in statistics, PhD in machine learning, PhD in signal processing, PhD in optimization, PhD in mathematics, PhD in physics, Proficiency in Python, Solid understanding of data structures, Solid understanding of algorithmic complexity, Solid understanding of numerical libraries, Demonstrated ability to conduct research, Ability to communicate complex results", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Location: Hong Kong SAR Duration: 3–4 months, starting 2026 Eligibility: Final year students (Bachelor's, Master's, or PhD) The Team Join the Specialist Equities team, a small and collaborative systematic equity research group focused on developing medium-frequency statistical arbitrage alpha signals. You will receive day-to-day mentorship from a quantitative researcher in Hong Kong, with core supervision and high-level exposure to portfolio managers and senior management in London. Position Overview You will own a research project end-to-end, taking a disciplined scientific approach to form hypotheses, construct signals, and iterate towards deployable outcomes. The project scope is defined on our side and will be closely tailored to your specific background and strengths once we've met you. During the internship, you will: Research time-series methods, advanced statistical techniques, and machine learning models to extract predictive value from complex datasets. Analyze large, noisy, real-world data sets to identify systematic trading opportunities. Help develop statistical and ML-based tools and techniques to solve complex data-related problems throughout the research process. Typical Day Your primary focus throughout the day will be on researching new statistical techniques, exploring datasets, and prototyping signal variants. Apply critical thinking at every step—rigorously backtesting ideas, diagnosing overfitting, and questioning your own assumptions. Discuss and present research results with your immediate team, portfolio managers, and senior management, actively incorporating their feedback. Document your work cleanly and clearly so colleagues can easily build upon your findings. Required Qualifications Quantitative Background: Pursuing a Bachelor's, Master's, or PhD in computer science, statistics, machine learning, signal processing, optimization, mathematics, physics, or a related STEM subject. Research Excellence: Demonstrated ability to conduct high-quality, in-depth, and rigorous research on real-world data, along with the ability to communicate complex results clearly to both technical peers and senior stakeholders. Programming Proficiency: Strong proficiency in Python, with a solid understanding of data structures, algorithmic complexity, and numerical libraries (e.g., pandas, numpy). Statistical if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Research Intern at Man Group. Skills: Quantitative research, Machine learning, Statistical analysis. Research time-series methods. Research advanced statistical techniques", "postedDate" : "2026-06-14T19:12:32.693", "createdAt" : "2026-06-14T19:12:32.693", "lastUpdated" : "2026-06-16T03:10:51.149", "ingestTimestamp" : "2026-06-14T19:12:32.693", "mongoId" : "6a2c7c2b74d8ee00a094c82c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Signal construction", "Backtesting", "Overfitting diagnosis", "Critical thinking", "Mentorship", "Quantitative research", "Machine learning", "Statistical analysis", "Systematic equity research", "Alpha signal development", "Medium-frequency trading", "Statistical arbitrage", "End-to-end research project ownership", "Systematic equity", "Alpha signals", "Medium-frequency", "Predictive value", "Systematic trading", "Complex datasets", "Real-world data" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 561.83093, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3079f5f292fd229c0365f0", "title" : "Quantitative Researcher - Macro Assets", "company" : "Man Group", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quantitative Researcher in London, adjusted for the financial services industry and a large company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T12:04:26.270", "fingerprint" : "2de1383a9597a3c8edb8df0cca380508a9f66fddb2e459b62ed31e2bf9082317", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4880305101", "externalId" : "4880305101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "remoteFriendly" : true, "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 The Team AHL Global Macro is the business unit responsible for global macro strategies across all asset classes. The team trade all markets, from liquid to alternative universe, with strategies spanning multiple holding periods. This role sits within the AHL Global Trend And Volatility sector. This role's research mission is to model the behaviour of global macro assets and identify alpha signals, with a particular focus on understanding and modelling what drives trends in macro assets and the timing of this style. The Role You will conduct original alpha research on global macro assets, building and testing predictive signals that inform live trading strategies. You will work across the full research lifecycle — from hypothesis generation and statistical modelling through to implementation and ongoing performance analysis — with direct exposure to live strategy management. Day-to-day you will: Research and develop alpha signals across global macro asset classes, with a focus on trend timing and directional strategies Model the dynamics of macro assets (rates, FX, equities, commodities) to identify exploitable patterns Design and evaluate predictive signals using rigorous statistical and quantitative methods Contribute to portfolio construction and risk analysis across the sector's strategies Monitor live strategy performance and translate observations back into research hypotheses Collaborate with researchers across AHL Global Macro and contribute to the broader research agenda Technology and Business Skills: 2+ years of experience researching alpha signals across macro assets Solid grounding in statistical and mathematical modelling; able to choose the right tool for the right problem Strong Python skills; comfortable working with large financial datasets Understanding of portfolio construction and risk analysis Familiarity with transaction costs and their impact on signal design is a plus Personal Attributes Strong academic record with a degree in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Engineering or Economics from a leading university; a PhD or Master's is advantageous Intellectually curious with a genuine interest in financial markets and the macro forces that move them Hands-on and rigorous: you enjoy following an idea all the way from intuition to tested, implemented signal Self-organised with the ability to manage multiple research threads in parallel Clear communicator: able to present quantitative findings concisely and engage constructively with alternative views Collaborative; comfortable working closely with researchers, technologists and portfolio managers Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Researcher - Macro Assets at Man Group", "postedDate" : "2026-06-16T01:17:44.909", "createdAt" : "2026-06-16T01:17:44.909", "lastUpdated" : "2026-06-16T12:04:26.270", "ingestTimestamp" : "2026-06-16T01:17:44.909", "mongoId" : "6a3079f5f292fd229c0365f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 560.1127, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3079f5f292fd229c0365ed", "title" : "Quantitative Portfolio Implementation Analyst", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quantitative Portfolio Implementation Analyst in Massachusetts, USA, with adjustments for the Financial Services industry and a large company size." }, "location" : "Massachusetts", "locations" : [ "Massachusetts" ], "timestamp" : "2026-06-16T11:33:04.367", "fingerprint" : "0648696c0c236da2f89e083195439ddda04f48311af5fce247e6693f82b0c297", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4890008101", "externalId" : "4890008101", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Massachusetts", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Massachusetts, United States", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 THE TEAM Man Group's quantitative investment engines, AHL and Numeric, are aligning under Systematic (USD ~138bn AUM). As part of this integration, we are expanding our Investment and Data Implementation (IDI) team, which has supported AHL for many years, into a new Boston-based team supporting the Man Numeric business. The global IDI team spans Hong Kong, Sofia, London and now Boston. The Boston team is responsible for implementing all new business and portfolios (funds, Separately Managed Accounts (SMAs), and investment strategies), maintaining the integrity of systematic models, and steering the long-term development of our trading initiatives. Our mission is to ensure every quantitative strategy is implemented with precision and aligned with its investment objectives, from initial research idea through to the last trade. Though Boston-based and focused primarily on Man Numeric’s content, as part of Systematic, you will be part of a connected global network, sharing tooling, codebase, and implementation capabilities across all four locations. The problems the team solves are diverse, complex, and high-impact. The team is the primary responder when production issues halt the investment managers, requiring rapid diagnosis and resolution without introducing new risks. The team are the operational architects who translate a researcher’s ideal strategy or portfolio into a robust, scalable solution, balancing speed, resilience, and business logic. The team also works closely with other areas such as Portfolio Management and Trading to explain why an algorithm and portfolio optimizer generated specific trades. Finally, we partner with technologists to help design trading architecture that is automated, scalable, and transparent enough for manual intervention when necessary. This role offers exceptional exposure. Man Group's flat structure means your work is widely visible across the group, you will be working with portfolio managers, quantitative researchers, product structuring specialists, and traders, with the opportunity and expectation to contribute, propose solutions, and make decisions regardless of seniority. You’ll be supported throughout and as you build confidence, you will represent the global IDI team on cross-departmental working groups and present findings directly to senior management. THE ROLE We are seeking a highly motivated professional to bridge quantitative research, portfolio management, technology, trading, and middle the ability to interact confidently with portfolio managers and domain experts Dependable judgment under pressure A relentless focus on delivering value to the business and improving implementation processes Advantageous: High level understanding of quantitative investment processes and portfolio construction Experience with portfolio management and/or trading systems, along with proficiency in data analysis and process automation Experience delivering or steering complex projects, such as fund or Separately Managed Account (SMA) launches Commercial experience or a strong interest in using AI tools to drive workflow efficiency and business insights Generalist experience and exposures within buy-side systematic investment (Implementation, Front Office, Middle Office or Trade Operations) Ability to use SQL and an object-oriented language (preferably Python) to investigate data and prototype solutions Proficiency in data reasoning techniques and relevant libraries (e.g., Pandas) The anticipated based salary range for this position is listed below. Compensation packages would also include benefits and a discretionary bonus. This is the base salary range that the Company believes it will pay for this position at the time of this posting based on the location and requirements of the position as well as the skills, qualifications, and experience of the applicant. The Firm reserves the right to modify this pay range at any time. US Pay Range $85,000—$100,000 USD Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity. You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Portfolio Implementation Analyst at Man Group", "postedDate" : "2026-06-16T01:16:52.116", "createdAt" : "2026-06-16T01:16:52.116", "lastUpdated" : "2026-06-16T11:33:04.367", "ingestTimestamp" : "2026-06-16T01:16:52.116", "mongoId" : "6a3079f5f292fd229c0365ed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 560.0815, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65c", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T05:04:26.818", "fingerprint" : "e82eebd1482170b061ef2a188b30356b72d4c7ed4e57d20f5bfef9a25d207f62", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223791009", "externalId" : "4223791009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:47:45.754", "createdAt" : "2026-06-14T21:47:45.754", "lastUpdated" : "2026-06-16T05:04:26.818", "ingestTimestamp" : "2026-06-14T21:47:45.754", "mongoId" : "6a2c7c2274d8ee00a094c65c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 555.3825, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305714f292fd229cf339cf", "title" : "Senior Social Insights Analyst", "company" : "OLIVER Agency", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Social Insights Analyst in Italy, adjusted for the marketing industry and remote work." }, "location" : "Pipeline", "locations" : [ "Pipeline" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.837", "fingerprint" : "ba25bf02c7f6a340852a3af129f29473271ba0bfe3bd3f320ac26809ea891158", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliver/jobs/8007126", "externalId" : "8007126", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or a related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Senior Social Insights Analyst Location: Italy (remote) ABOUT THE ROLE We are seeking a Research able to anticipate insight needs and build tailored responses Curious, growth‑minded, and eager to continually learn and push boundaries Confident working in fast‑paced, evolving environments with multiple stakeholders Collaborative, open‑minded team player Req ID: 17325 #LI-JP1 #LI-Hybrid #LI-director Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Senior Social Insights Analyst at OLIVER Agency. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:17:46.048", "createdAt" : "2026-06-15T23:17:46.048", "lastUpdated" : "2026-06-16T08:41:03.837", "ingestTimestamp" : "2026-06-15T23:17:46.048", "mongoId" : "6a305714f292fd229cf339cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 549.49146, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 549.48175, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65d", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA" ], "timestamp" : "2026-06-15T07:14:36.772", "fingerprint" : "23f99dcaeae28cdf3eadb256f67fc80e83c18ce04f3c1a1bcf06a56004856462", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223780009", "externalId" : "4223780009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Process engineering", "Data analysis", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Analytical Mindset", "Collaborative Approach", "Time Management" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical validation", "level" : "intermediate" }, { "name" : "Process management systems", "level" : "intermediate" }, { "name" : "Algorithmic construction", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical Mindset" }, { "name" : "Collaborative Approach" }, { "name" : "Time Management" } ], "majorSkills" : "Quantitative finance, Data science, Process engineering, Machine learning", "majorSkillsList" : [ "Quantitative finance", "Data science", "Process engineering", "Machine learning" ], "coreResponsibilities" : "Design production processes, Implement production processes, Test production processes, Design process orchestration, Monitor production health, Respond to critical issues, Communicate production issues, Identify computational bottlenecks, Improve run speeds, Collaborate with investment teams, Meet process needs, Evaluate process improvements, Assess data quality, Maintain process repos, Clean code, Construct algorithms, Run algorithms, Validate data sets, Design data loaders, Test data loaders, Perform data analysis, Provide data expertise, Facilitate ML pipelines, Audit ML pipelines, Analyze ML pipelines, Enable accessibility, Clarify data assets, Scrub data, Develop methodologies, Assess data, Analyze data, Respond to vendor data issues, Mitigate vendor data issues, Integrate data, Present findings, Present recommendations", "teamCollaboration" : "Cross-functional teams; Investment teams; Senior members", "projectManagementSkills" : [ "Agile", "Scrum", "JIRA", "Roadmap planning", "Kanban", "PMP" ], "domainKnowledge" : "Quantitative equity investment management; Investment engine; Alpha; Risk; Portfolio optimization; Market implementation; Quantitative model; Portfolios; Data assets; Optimizers; Systematic investment insights; Vendor data", "domainList" : [ "quantitative-equity-investment-management", "investment-engine", "alpha", "risk", "portfolio-optimization", "market-implementation", "quantitative-model", "portfolios", "data-assets", "optimizers", "systematic-investment-insights", "vendor-data" ], "domainSpecificKnowledge" : [ "Quantitative equity investment management", "Investment engine", "Alpha", "Risk", "Portfolio optimization", "Market implementation", "Quantitative model", "Portfolios", "Data assets", "Optimizers", "Systematic investment insights", "Vendor data" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Mentorship programme; Career development plans", "innovationCreativity" : "Operational innovation; R&D projects; Hackathons; Prototype development; Design thinking", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Accurate trade generation; Timely trade generation", "qualificationsBasic" : "Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline, SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Completion of CFA, Relevant graduate degree, PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative finance, Data science, Process engineering, Machine learning. Design production processes. Implement production processes", "postedDate" : "2026-06-13T22:20:19.828", "createdAt" : "2026-06-13T22:20:19.828", "lastUpdated" : "2026-06-15T07:14:36.772", "ingestTimestamp" : "2026-06-13T22:20:19.828", "mongoId" : "6a2c7c2274d8ee00a094c65d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference", "Analytical Mindset", "Collaborative Approach", "Time Management", "Quantitative finance", "Data science", "Process engineering", "Machine learning", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements", "Agile", "Scrum", "JIRA", "Roadmap planning", "Kanban", "PMP", "Quantitative equity investment management", "Investment engine", "Alpha", "Risk", "Portfolio optimization", "Market implementation", "Quantitative model", "Portfolios", "Data assets", "Optimizers", "Systematic investment insights", "Vendor data", "CFA", "Dbt Cloud" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 547.5851, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c926c74d8ee00a0985bd8", "title" : "Senior User Researcher (Qualitative Focus)", "company" : "Blueprint Technologies", "industry" : "Technology", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T07:48:42.906", "fingerprint" : "e4bf5c4507617a3de591705e21de8ea785917319cf2672f4aaab562b3ce55b84", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/bpcs/jobs/8003915", "externalId" : "8003915", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Science, Analytics, Business Intelligence", "professionalSkills" : [ "User research", "Market research", "Design systems", "Interface design", "Visual design", "Product development" ], "hardSkillsList" : [ "Qualitative synthesis", "User workflows", "User needs", "User pain points" ], "hardSkills" : [ { "name" : "Qualitative synthesis", "level" : "intermediate" }, { "name" : "User workflows", "level" : "intermediate" }, { "name" : "User needs", "level" : "intermediate" }, { "name" : "User pain points", "level" : "intermediate" } ], "majorSkills" : "Qualitative research, User needs analysis, Usability testing, Synthesizing findings", "majorSkillsList" : [ "Qualitative research", "User needs analysis", "Usability testing", "Synthesizing findings" ], "coreResponsibilities" : "Support planning research studies, Support execution research studies, Conduct user interviews, Conduct usability testing, Conduct contextual inquiry, Understand user workflows, Understand user pain points, Manage research operations, Recruit participants, Schedule participants, Take notes, Manage study logistics, Analyze qualitative data, Synthesize findings into themes, Synthesize findings into reports, Synthesize findings into presentations, Create research summaries, Create insights decks, Create documentation, Maintain research repositories, Maintain documentation, Collaborate across research projects, Ensure timely execution, Ensure high-quality execution, Identify patterns in user feedback, Translate insights into recommendations, Align research with privacy standards, Align research with consent standards, Align research with compliance standards", "teamCollaboration" : "Partner with researchers; Partner with designers; Partner with product teams; Cross-functional teams; Multiple clients; Multiple teams", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Data products; Analytics products; Business intelligence products; Technical professionals; Enterprise software; Technical products; Data tools; Analytics tools; Cloud technologies; Analytics platforms; Developer tools; Technical user domains; Data professionals; Engineers; Analysts; Modern technical workflows", "domainList" : [ "data-products", "analytics-products", "business-intelligence-products", "technical-professionals", "enterprise-software", "technical-products", "data-tools", "analytics-tools", "cloud-technologies", "analytics-platforms", "developer-tools", "technical-user-domains", "data-professionals", "engineers", "analysts", "modern-technical-workflows" ], "domainSpecificKnowledge" : [ "Data products", "Analytics products", "Business intelligence products", "Technical professionals", "Enterprise software", "Technical products", "Data tools", "Analytics tools", "Cloud technologies", "Analytics platforms", "Developer tools", "Technical user domains", "Data professionals", "Engineers", "Analysts", "Modern technical workflows" ], "communicationSkills" : "Verbal communication; Written communication; Actionable insights; Research summaries; Insights decks", "documentationSkills" : "Documentation; Research repositories; Research documentation", "continuousLearning" : "Professional growth; Professional development", "problemSolvingSkills" : "Solving complicated problems; Uncover user needs; Identify patterns", "outcomesObjectives" : "Uncover user needs; Uncover user workflows; Uncover user pain points; Synthesize findings into clear insights; Translate insights into product recommendations; Translate insights into design recommendations", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 4–6+ years UX research experience, Demonstrated qualitative research methods, Interviews, Usability testing, Surveys, Qualitative synthesis, Analyze and communicate findings, Excellent verbal communication, Excellent written communication, Organizational skills, Attention to detail, Manage multiple projects independently, Comfort in technical environments", "qualificationsPreferred" : "Experience researching enterprise software, Experience researching technical products, Experience researching data/analytics tools, Familiarity with cloud technologies, Familiarity with analytics platforms, Familiarity with developer-focused tools, Experience supporting research in technical user domains, Exposure to end-to-end research workflows, Interest in data, Interest in analytics, Interest in modern technical workflows, Experience in fast-paced teams, Experience in cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role In this role, you will support qualitative user research efforts for a portfolio of data, analytics, and business intelligence products used by technical professionals. You will partner closely with researchers, designers, and product teams to plan and execute studies that uncover user needs, workflows, and pain points. You’ll play a hands-on role in conducting interviews and usability testing, managing research logistics, and synthesizing findings into clear, actionable insights. This position is ideal for someone who enjoys both the execution and operational sides of research and is comfortable working within complex technical domains. Responsibilities Support the planning and execution of qualitative research studies, including in-depth interviews and usability testing Conduct and assist with user interviews, contextual inquiry, and usability evaluations to understand user workflows and pain points Help manage research operations, including participant recruitment, scheduling, note-taking, and study logistics Analyze qualitative data and synthesize findings into themes, reports, and presentations Create clear, structured deliverables such as research summaries, insights decks, and documentation Maintain organized research repositories and documentation for team access and reuse Collaborate across multiple research projects, ensuring timely and high-quality execution Identify patterns in user feedback and help translate insights into product and design recommendations Ensure research activities align with privacy, consent, and compliance standards Required Qualifications Bachelor’s degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Information Science, Market Research, or a related field (or equivalent experience) 4–6+ years of experience in UX research, user research, or market research Demonstrated experience with qualitative research methods, including: Interviews Usability testing Surveys Qualitative synthesis Strong ability to analyze and communicate research findings clearly Excellent verbal and written communication skills Strong organizational skills and attention to detail Ability to manage multiple projects and deadlines independently Comfort working in technical or complex product environments Preferred Qualifications Experience researching enterprise software, technical products, or data/analytics tools Familiarity with cloud technologies, analytics platforms, or developer-focused tools Experience supporting research in technical user domains (e.g., data professionals, engineers, analysts) Exposure to end-to-end research workflows, including study design through delivery Interest in data, analytics, and modern technical workflows Experience working in fast-paced, cross-functional product teams Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $90,000– $100,000 per annum. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote", "summaryDescription" : "Senior User Researcher (Qualitative Focus) at Blueprint Technologies. Skills: Qualitative research, User needs analysis, Usability testing, Synthesizing findings. Support planning research studies. 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Collaborate with internal teams", "projectManagementSkills" : [ "Managing multiple projects" ], "domainKnowledge" : "Brand performance; Marketing strategy; Data interpretation", "domainList" : [ "brand-performance", "marketing-strategy", "data-interpretation" ], "domainSpecificKnowledge" : [ "Brand performance", "Marketing strategy", "Data interpretation" ], "toolProficiency" : [ "CRM systems" ], "communicationSkills" : "Client presentations; Storytelling", "documentationSkills" : "Reporting; Documentation", "continuousLearning" : "Learning and development support", "problemSolvingSkills" : "Data interpretation; Actionable recommendations", "qualificationsBasic" : "5+ years of experience in data analytics, 5+ years of experience in customer insights, 5+ years of experience in consulting, 5+ years of experience in data-driven client-facing role, Proficiency in Excel, Experience transforming data into clear, compelling insights and narratives, Proven ability to lead client presentations, Communicate complex findings through storytelling, Relationship-building skills, Stakeholder management skills, Ability to influence clients effectively, Ability to advise clients effectively, Experience managing multiple projects simultaneously, Comfortable working in a consultative, client-facing role, Ability to combine quantitative analysis with qualitative understanding, Deliver actionable recommendations", "qualificationsPreferred" : "Experience in a similar data-driven client-facing role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Own and manage a portfolio of client accounts, ensuring strong engagement, satisfaction, and long-term retention through regular reviews and proactive communication. Translate client marketing and communication goals into clear measurement frameworks, reporting structures, and actionable insights. Deliver timely, high-quality reports and performance analyses that highlight brand impact, trends, and opportunities for optimization. Act as a trusted advisor to clients, presenting insights and recommendations that shape strategic marketing and communication decisions. Identify upsell and cross-sell opportunities and collaborate with sales teams to support growth initiatives and renewals. Maintain accurate client records, reporting, and documentation within CRM systems while tracking account health and risks. Collaborate with internal teams to share customer feedback, support product improvements, and contribute to new KPI development. Analyze qualitative and quantitative data to uncover trends, patterns, and performance drivers across brand portfolios. Requirements: 5+ years of experience in data analytics, customer insights, consulting, or a similar data-driven client-facing role. Strong analytical skills with proficiency in Excel and experience transforming data into clear, compelling insights and narratives. Proven ability to lead client presentations and communicate complex findings through storytelling at multiple organizational levels. Strong relationship-building and stakeholder management skills, with the ability to influence and advise clients effectively. Experience managing multiple projects simultaneously in fast-paced and evolving environments. Strong curiosity and interest in brand performance, marketing strategy, and data interpretation. Ability to combine quantitative analysis with qualitative understanding to deliver actionable recommendations. Comfortable working in a consultative, client-facing role that blends analysis, strategy, and communication. Benefits: Competitive salary with performance-based compensation (varies by location and experience). Flexible remote work arrangements, with opportunities to collaborate internationally. Comprehensive health, dental, and vision insurance (based on location). Paid time off and holidays to support work-life balance. Learning and development support to encourage continuous growth and skill-building. Exposure to leading global brands in fashion, lifestyle, and beauty industries. Collaborative, people-first culture focused on autonomy, impact, and professional development. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Brand Insights Manager. Skills: Client presentations, Data storytelling, Client relationship management. Own and manage a portfolio of client accounts. Ensure engagement, satisfaction, and long-term retention", "postedDate" : "2026-06-15T15:48:25.672", "createdAt" : "2026-06-15T15:48:25.672", "lastUpdated" : "2026-06-16T11:24:26.000", "ingestTimestamp" : "2026-06-16T03:20:42.612", "mongoId" : "6a305117f292fd229cef9692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative understanding", "Client presentations", "Data storytelling", "Client relationship management", "Data analytics", "Customer insights", "Consulting", "Data interpretation", "Brand performance", "Marketing strategy", "Managing multiple projects", "CRM systems" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 544.53735, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Marketing", "llmIndustryConfidence" : 0.92 }, { "id" : "69fc49a74c40e2acd1a83413", "title" : "Sr. Quantitative Modeler", "company" : "Hyundai Capital America", "industry" : "FinTech", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Quantitative Modeler in Irvine, United States, adjusted for industry and company size." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-15T08:02:58.393", "fingerprint" : "21242e381c0de76f297b61be4db279eb8c3438c6272bff61c4cd73830f01790d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=113547", "externalId" : "113547", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SAS, Python, R, Machine Learning, Artificial Intelligence", "professionalSkills" : [ "Model development", "Model implementation", "Model monitoring", "Data quality validation" ], "hardSkillsList" : [ "Predictive modeling", "Statistical analysis", "Generalized regression", "Survival analysis", "Sampling design", "Hypothesis testing", "Stochastic processes" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Generalized regression", "level" : "intermediate" }, { "name" : "Survival analysis", "level" : "intermediate" }, { "name" : "Sampling design", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Stochastic processes", "level" : "intermediate" } ], "majorSkills" : "Quantitative modeling, Credit risk, Machine Learning", "majorSkillsList" : [ "Quantitative modeling", "Credit risk", "Machine Learning" ], "coreResponsibilities" : "Lead design and development of predictive models, Provide analytic solutions, Support business functions, Implement models, Monitor models, Maintain model production processes, Perform additional analysis, Support business functions, Partner with auditors, Partner with model validation, Partner with legal, Partner with compliance, Partner with accounting, Ensure regulatory compliance, Adhere to internal policies, Partner with IT, Partner with data engineering, Partner with EDW teams, Validate data quality, Improve data quality", "teamCollaboration" : "Partner with internal stakeholders; Partner with external stakeholders; Partner with IT teams; Partner with data engineering; Partner with EDW teams", "domainKnowledge" : "Credit risk; Credit bureau data; Regulatory requirements; Market trends; Financial industry; Auto industry", "domainList" : [ "credit-risk", "credit-bureau-data", "regulatory-requirements", "market-trends", "financial-industry", "auto-industry" ], "domainSpecificKnowledge" : [ "Credit risk", "Credit bureau data", "Regulatory requirements", "Market trends", "Financial industry", "Auto industry" ], "communicationSkills" : "Translate concepts to insights", "problemSolvingSkills" : "Analytical methods; Analytic techniques", "qualificationsBasic" : "8 years predictive modeling experience, 5 years financial auto industry experience, Master's degree in quantitative fields, Proficiency in statistical programming, Proficiency in Machine Learning algorithms", "qualificationsPreferred" : "Ph. D. preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "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 Sr. Quantitative Modeler will act as a lead modeler in the research and development of predictive quantitative models and delivering model-related analytic support. This position provides technical and methodological leadership and expertise for the application of advanced analytic methods and techniques in the business environment. What You Will Do · Lead the design and development of predictive models and provide analytic solutions to support business functions including model implementation and monitoring. · Maintain model production processes and perform additional analysis as needed to support business functions across HCA. · Partner with internal and external auditors, model validation, legal and compliance, accounting, and other stakeholders to ensure regulatory compliance and adherence to internal policies. · Partner with IT, data engineering and EDW teams to validate and improve data quality. What You Will Bring · Minimum 8 years predictive modeling experience with focus on credit risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and auto industry. · Master’s degree in quantitative fields such as Statistics, Data Science, Economics, Econometrics, Mathematics. · Ph.D. preferred. · Deep understanding of statistical and data science, theoretical foundations and techniques, such as generalized regression, survival analysis, sampling design, hypothesis testing, stochastic processes etc. · Proficiency in Machine Learning algorithms and models, and familiarity with Artificial Intelligence approaches and platforms. · Financial and auto industry knowledge, including credit risk, credit bureau data, regulatory requirements, market trends. · Ability to translate abstract statistical concepts and analytic results into actionable business insights. · Proficiency in statistical programming utilizing SAS, Python, R or other related software and platforms. · Strong communication and collaboration skills. · Attention to detail and timelines. 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" : "Sr. Quantitative Modeler at Hyundai Capital America. Skills: Quantitative modeling, Credit risk, Machine Learning. Lead design and development of predictive models. Provide analytic solutions", "createdAt" : "2026-06-14T00:47:29.049", "lastUpdated" : "2026-06-15T08:02:58.393", "ingestTimestamp" : "2026-06-14T00:47:29.049", "mongoId" : "69fc49a74c40e2acd1a83413", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Predictive modeling", "Statistical analysis", "Generalized regression", "Survival analysis", "Sampling design", "Hypothesis testing", "Stochastic processes", "Quantitative modeling", "Credit risk", "Machine Learning", "Model development", "Model implementation", "Model monitoring", "Data quality validation", "Credit bureau data", "Regulatory requirements", "Market trends", "Financial industry", "Auto industry" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 541.11395, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6bb474d8ee00a09141c4", "title" : "Experienced Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 110000.0, "max" : 160000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Quantitative Researcher in Amsterdam, Netherlands, adjusted for FinTech industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands", "Bengaluru", "Karnataka", "India", "Hong Kong", "Singapore", "Central", "Singapore" ], "timestamp" : "2026-06-15T10:45:08.126", "fingerprint" : "aaf7c88cdb754587e85c91d6839152b00431aeb118836edaf69362e17e8356d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4001033101", "externalId" : "4001033101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Kdb+, C++", "professionalSkills" : [ "Market making", "Systematic alpha research" ], "hardSkillsList" : [ "Quantitative research", "Statistical analysis" ], "hardSkills" : [ { "name" : "Quantitative research", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "High frequency trading, Quantitative research", "majorSkillsList" : [ "High frequency trading", "Quantitative research" ], "coreResponsibilities" : "Research systematic HFT market making strategies, Develop systematic HFT market making strategies, Leverage existing technology, Leverage existing infrastructure", "teamCollaboration" : "Small collaborative environment; Experienced traders; Experienced developers", "domainKnowledge" : "Proprietary trading; Electronic market making; Asset classes", "domainList" : [ "proprietary-trading", "electronic-market-making", "asset-classes" ], "domainSpecificKnowledge" : [ "Proprietary trading", "Electronic market making", "Asset classes" ], "innovationCreativity" : "Innovate; New technologies; New ideas", "qualificationsBasic" : "Deep experience in high frequency trading, Live high frequency trading experience for at least 2 years, PnL track record with excellent Sharpe ratios", "qualificationsPreferred" : "Degree from top tier college or university a plus", "workSiteFlexibility" : "Flexible", "rawDescription" : "Quantbox is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share and are looking for experienced Quantitative Researchers to join our team. As a Quantitative Researcher, you will be working with experienced traders and developers to research and develop new systematic HFT market making strategies leveraging our existing technology and infrastructure. Quantbox encourages Bachelor’s, Master’s and PhD students in computer science, mathematics and related fields to apply. Additional requirements include: Deep experience in high frequency trading Live high frequency trading experience for at least 2 years. PnL track record with excellent Sharpe ratios. Taking pride in building solutions using Python, R, kdb+ or C++ Desire to work in a small collaborative environment Degree from top tier college or university a plus A passion for new technologies and ideas Strong communication skills Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Experienced Quantitative Researcher at Quantbox Research. Skills: High frequency trading, Quantitative research. Research systematic HFT market making strategies. Develop systematic HFT market making strategies", "postedDate" : "2026-06-14T08:01:11.800", "createdAt" : "2026-06-14T08:01:11.800", "lastUpdated" : "2026-06-15T10:45:08.126", "ingestTimestamp" : "2026-06-14T08:01:11.800", "mongoId" : "6a2c6bb474d8ee00a09141c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative research", "Statistical analysis", "High frequency trading", "Market making", "Systematic alpha research", "Proprietary trading", "Electronic market making", "Asset classes" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 539.9448, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f2374d8ee00a08e94d1", "title" : "Quantitative - Mixed Method UX Researcher IV (Consumer Insights)", "company" : "Linda Werner & Associates", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative - Mixed Method UX Researcher IV (Consumer Insights) in the Technology industry, adjusted for remote work and contract employment type." }, "location" : "LWA", "locations" : [ "LWA" ], "timestamp" : "2026-06-14T23:54:06.548", "fingerprint" : "f6ecccd1d37008096bb75f1b2a1ec7d6e7c6b7a2636f568dd253b74ab1da9a96", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lindawernerassociates/jobs/5255881008", "externalId" : "5255881008", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "hardSkillsList" : [ "Quantitative analysis", "Qualitative analysis", "Consumer insights" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Consumer insights", "level" : "intermediate" } ], "majorSkills" : "Mixed-method research, Consumer insights, Product strategy", "majorSkillsList" : [ "Mixed-method research", "Consumer insights", "Product strategy" ], "coreResponsibilities" : "Lead end-to-end research projects, Understand customer motivations, Understand purchasing behaviors, Understand product adoption, Understand consumer experiences, Manage multiple concurrent projects, Deliver actionable insights", "teamCollaboration" : "Work cross-functionally", "domainKnowledge" : "Consumer technology", "domainList" : [ "consumer-technology" ], "domainSpecificKnowledge" : [ "Consumer technology" ], "specialRequirements" : "Occasional field-based research activities, Potentially week-long trips", "qualificationsBasic" : "English (Required)", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "We are seeking an experienced Consumer Insights Researcher to support research initiatives that inform product strategy, customer experience, and go-to-market decision making. This role is ideal for a mixed-method researcher who enjoys blending quantitative and qualitative approaches to uncover meaningful consumer insights. The successful candidate will lead end-to-end research projects, helping stakeholders better understand customer motivations, purchasing behaviors, product adoption, and overall consumer experiences. This position requires a highly organized researcher who can manage multiple concurrent projects, work cross-functionally, and deliver actionable insights in a fast-paced environment. This is a contract position supporting a high-profile consumer technology organization. Remote work may be available, with occasional field-based research activities required. Key Responsibilities Research Planning potentially week-long trips. Role type: Contract 9 Month Position Expected hours: 40 per week Benefits: Dental insurance Health insurance Health savings account Life insurance Paid time off Retirement plan Vision insurance Schedule: 8 hour shift Monday to Friday Application Question(s): Do you or will you in the future require any sponsorship to work in the US? Language: English (Required)", "summaryDescription" : "Quantitative - Mixed Method UX Researcher IV (Consumer Insights) at Linda Werner & Associates. Skills: Mixed-method research, Consumer insights, Product strategy. Lead end-to-end research projects. Understand customer motivations", "postedDate" : "2026-06-12T21:54:18.023", "createdAt" : "2026-06-12T21:54:18.023", "lastUpdated" : "2026-06-14T23:54:06.548", "ingestTimestamp" : "2026-06-12T21:54:18.023", "mongoId" : "6a2c5f2374d8ee00a08e94d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Qualitative analysis", "Consumer insights", "Mixed-method research", "Product strategy", "Consumer technology" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "recruiting", "dataQualityScore" : 1.0, "_score" : 539.66113, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a305119f292fd229cef9cda", "title" : "Manager, Market Insights", "industry" : "Analyst", "salary" : { "min" : 116000.0, "max" : 151000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T13:45:38.605", "fingerprint" : "d66f1971169ac564a69c18fbdb30288bf744ae50764e73f4ee6cd93e74d98a62", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e/apply", "externalId" : "fc6ba82f-ae7e-4f6c-b23e-cceb9f318a4e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Excel, PowerPoint, Word", "professionalSkills" : [ "Market research", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management" ], "hardSkillsList" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification" ], "hardSkills" : [ { "name" : "Message testing", "level" : "intermediate" }, { "name" : "Customer journey analysis", "level" : "intermediate" }, { "name" : "Brand performance tracking", "level" : "intermediate" }, { "name" : "Vendor selection", "level" : "intermediate" }, { "name" : "Timeline management", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Trend identification", "level" : "intermediate" } ], "majorSkills" : "Market research, Data analysis, Insight generation", "majorSkillsList" : [ "Market research", "Data analysis", "Insight generation" ], "coreResponsibilities" : "Design primary market research initiatives, Lead primary market research initiatives, Manage end-to-end research projects, Select vendors, Oversee execution, Manage timelines, Manage budgets, Communicate progress to leadership, Leverage secondary data sources, Identify market trends, Support business decision-making, Integrate primary research findings, Generate actionable insights, Generate strategic recommendations, Collaborate with cross-functional stakeholders, Define research priorities, Address ad hoc analytical needs, Evaluate new research methodologies, Introduce new research methodologies, Enhance insight generation, Enhance analytical capabilities, Contribute to annual planning, Contribute to budget allocation, Ensure effective resource management", "teamCollaboration" : "Cross-functional stakeholders; Marketing; Sales; Market Access; Insights teams", "projectManagementSkills" : [ "Vendor management", "Timeline management", "Budget management" ], "domainKnowledge" : "Biopharmaceutical environments; Biotechnology environments; Healthcare data sources; Claims data; Promotional data; Prescription data", "domainList" : [ "biopharmaceutical-environments", "biotechnology-environments", "healthcare-data-sources", "claims-data", "promotional-data", "prescription-data" ], "domainSpecificKnowledge" : [ "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data" ], "toolProficiency" : [ "Excel", "PowerPoint", "Word" ], "communicationSkills" : "Storytelling; Presentations", "continuousLearning" : "Introduce new research methodologies; Introduce new tools; Introduce new approaches", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Data synthesis", "specialRequirements" : "Travel up to 20% domestically", "outcomesObjectives" : "Generate actionable insights; Generate strategic recommendations", "qualificationsBasic" : "Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related equivalent experience, 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments, Expertise in qualitative and quantitative research methodologies, Experience working with secondary healthcare data sources, Analytical and problem-solving skills, Excellent communication and storytelling skills, Proven ability to manage multiple projects, vendors, timelines, and budgets, Advanced proficiency in Excel, PowerPoint, and Word, Collaboration and stakeholder management skills", "qualificationsPreferred" : "Best practices for generating actionable insights, Ability to synthesize multiple data streams into clear business recommendations, Ability to translate complex findings into clear presentations for senior stakeholders, Attention to detail and organizational skills, Ability to influence across cross-functional teams", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and lead primary market research initiatives such as message testing, customer journey analysis, brand performance tracking, and sales force effectiveness studies, ensuring appropriate methodologies are applied to key business questions. Manage end-to-end research projects including vendor selection, execution oversight, timeline and budget management, and regular communication of progress to leadership. Leverage secondary data sources such as claims, promotional data, and internal prescription data to identify market trends and support business decision-making. Integrate primary research findings with secondary data and competitive intelligence to generate actionable insights and strategic recommendations. Collaborate with cross-functional stakeholders across Marketing, Sales, Market Access, and Insights teams to define research priorities and address ad hoc analytical needs. Continuously evaluate and introduce new research methodologies, tools, and approaches to enhance insight generation and analytical capabilities. Contribute to annual planning and budget allocation for insights initiatives, ensuring effective resource management. Requirements: Bachelor’s degree in Marketing, Business, Life Sciences, Market Research, or related field; equivalent experience may be considered. 6+ years of experience in market research, commercial analytics, or competitive intelligence within biopharmaceutical or biotechnology environments. Strong expertise in qualitative and quantitative research methodologies and best practices for generating actionable insights. Experience working with secondary healthcare data sources, including claims, promotional, and prescription data. Strong analytical and problem-solving skills with the ability to synthesize multiple data streams into clear business recommendations. Excellent communication and storytelling skills, with the ability to translate complex findings into clear presentations for senior stakeholders. Proven ability to manage multiple projects, vendors, timelines, and budgets in a fast-paced environment. Advanced proficiency in Excel, PowerPoint, and Word, with strong attention to detail and organizational skills. Strong collaboration and stakeholder management skills, with the ability to influence across cross-functional teams. Ability to travel up to 20% domestically for meetings and company events. Benefits: Competitive base salary range of $116,000 – $151,000, plus short-term incentives and long-term equity compensation opportunities. Comprehensive health coverage including medical, dental, vision, disability, and life insurance for employees and eligible dependents. Retirement savings plan with employer match. Generous paid time off, holidays, and work-life balance programs. Access to wellness programs and employee assistance resources. Opportunity to work in a mission-driven environment focused on rare disease innovation and patient impact. Exposure to high-impact strategic projects with strong cross-functional visibility and leadership engagement. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Manager, Market Insights. Skills: Market research, Data analysis, Insight generation. Design primary market research initiatives. Lead primary market research initiatives", "postedDate" : "2026-06-15T10:10:06.604", "createdAt" : "2026-06-15T10:10:06.604", "lastUpdated" : "2026-06-16T13:45:38.605", "ingestTimestamp" : "2026-06-16T03:23:38.625", "mongoId" : "6a305119f292fd229cef9cda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 116000, "salaryAnnualMax" : 151000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Message testing", "Customer journey analysis", "Brand performance tracking", "Vendor selection", "Timeline management", "Budget management", "Trend identification", "Market research", "Data analysis", "Insight generation", "Commercial analytics", "Competitive intelligence", "Qualitative research", "Quantitative research", "Data synthesis", "Business decision-making", "Strategic recommendations", "Resource management", "Vendor management", "Biopharmaceutical environments", "Biotechnology environments", "Healthcare data sources", "Claims data", "Promotional data", "Prescription data", "Excel", "PowerPoint", "Word" ], "skillCount" : 28, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 537.50275, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c94e874d8ee00a098be08", "title" : "Analista Pleno de Analytics e Data Insights", "company" : "Getnet", "industry" : "FinTech", "salary" : { "min" : 100000.0, "max" : 160000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Analytics and Data Insights Analyst in São Paulo, Brazil, adjusted for the FinTech industry and full-time employment." }, "location" : "São Paulo, Brazil", "locations" : [ "São Paulo", "Brazil" ], "timestamp" : "2026-06-15T11:33:27.122", "fingerprint" : "d3625b69d11ef142c6dc896ea8273616389743b754964ca796f098f0899acc90", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4880672101", "externalId" : "4880672101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI", "professionalSkills" : [ "Data analysis", "Data modeling", "Data segmentation" ], "hardSkillsList" : [ "Data manipulation", "Performance analysis", "Business intelligence" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" } ], "majorSkills" : "Data Insights, Analytics, SQL, Power BI", "majorSkillsList" : [ "Data Insights", "Analytics", "SQL", "Power BI" ], "domainKnowledge" : "Payment methods; Banking; Fintech; Pix; Tap on Phone; Payment link; PAT; Customer journey; Product funnels", "domainList" : [ "payment-methods", "banking", "fintech", "pix", "tap-on-phone", "payment-link", "pat", "customer-journey", "product-funnels" ], "domainSpecificKnowledge" : [ "Payment methods", "Banking", "Fintech", "Pix", "Tap on Phone", "Payment link", "PAT", "Customer journey", "Product funnels" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Clear presentation; Objective presentation", "documentationSkills" : "Document concepts; Document metrics; Document premises", "continuousLearning" : "Language learning platform; LinkedIn Learning access; O'Reilly access", "problemSolvingSkills" : "Problem-solving profile; Autonomy in analysis", "qualificationsBasic" : "Solid SQL knowledge, Programming logic knowledge, Power BI dashboard experience, Large data volume manipulation, Clear communication, Objective presentation, Analytical profile, Organized profile, Problem-solving profile, Autonomy in analysis, Hands-on profile, Strategic profile", "qualificationsPreferred" : "Payment methods experience, Banking experience, Fintech experience, Pix knowledge, Tap on Phone knowledge, Payment link knowledge, PAT knowledge, Experimentation notions, A/B testing notions, Profitability indicators experience, Monetization indicators experience, Commercial efficiency indicators experience, Customer journey analysis experience, Product funnel analysis experience, Python knowledge, R knowledge", "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Seu talento impulsiona o nosso futuro A Getnet é uma empresa global de tecnologia especializada em soluções de pagamento para o comércio. Fundada no Brasil e presente na América Latina e na Península Ibérica, apoiamos mais de 1,3 milhão de comerciantes com serviços completos — da maquininha ao e-commerce. Fazemos parte da PagoNxt, a fintech global do Grupo Santander, e atuamos como um hub de adquirência com forte presença em Espanha, Portugal, Brasil, México, Chile, Argentina e Uruguai. Nossa missão é clara: simplificar os pagamentos com inovação, segurança e escala, ajudando negócios de todos os tamanhos a crescer com agilidade. Oferecemos uma plataforma unificada que integra hardware, software, prevenção à fraude, adquirência, conciliação e serviços financeiros — tudo em um só ecossistema, para que nossos clientes possam focar no crescimento do seu negócio. Fazer parte da Getnet é se juntar a uma empresa que combina a inovação de uma fintech com a solidez de um banco global. Imagine your future. Care for your career. Simplify your journey. Isso significa que você terá a chance de construir soluções de impacto, crescer com oportunidades reais de desenvolvimento e evoluir em uma cultura que valoriza bem-estar, inclusão e clareza. Combinamos flexibilidade, autonomia e colaboração global — para que você possa focar no que importa, se conectar com propósito e ajudar a moldar o futuro. Aqui, você vai encontrar espaço para crescer, oportunidades reais para liderar e uma cultura onde todas as pessoas pertencem e contribuem. ✨ Se você quer fazer parte da próxima geração de soluções financeiras, este é o lugar certo. Já te imagina sendo Nxter? Na Getnet, estamos buscando uma pessoa para a vaga de Analista Pleno de Analytics e Data Insights para se juntar ao nosso time em São Paulo. \uD83D\uDCCCO que você vai fazer Construir, atualizar e evoluir dashboards executivos e operacionais. Criação e manutenção de painéis para acompanhamento dos produtos. Acompanhar indicadores por produto, canal, segmento, região e perfil de cliente. Realizar análises de performance dos produtos, identificando variações, tendências, oportunidades e possíveis causas de crescimento ou queda. Apoiar a gestão dos funis de aquisição, ativação, uso, retenção e monetização dos produtos. Identificar gargalos na jornada do cliente e propor oportunidades de otimizaçã o. Modelagem de dados e segmentaçã o. Criação de cohorts e análises por comportamento. Apoiar as áreas de produto e negócio com análises estruturadas e recomendações baseadas em dados. Garantir consistência básica das informações utilizadas em dashboards e relatórios. Documentar conceitos, métricas e premissas utilizadas nas análises. ✅ O que buscamos em você Experiência prévia com Analytics, BI, Dados ou áreas correlatas. Conhecimento sólido em SQL e lógica de programaçã o. Experiência em construção de dashboards em Power BI. Capacidade de manipulação de grandes volumes de dados. Boa capacidade de comunicação para apresentar análises de forma clara e objetiva. Perfil analítico, organizado e orientado à resolução de problemas. Capacidade de atuar com autonomia em análises. Perfil hands-on + estratégico. ✅ O que pode contar pontos a mais Experiência em meios de pagamento, bancos ou fintechs. Conhecimento em produtos como Pix, Tap on Phone, Link de pagamento, PAT. Noções de experimentação (A/B test). Familiaridade com indicadores de rentabilidade, monetização ou eficiência comercial. Experiência com análise de jornada do cliente ou funis de produto. Conhecimento em Python/R (plus). \uD83C\uDFAF O que oferecemos \uD83E\uDE7A Assistência médica \uD83E\uDDB7 Assistência odontológica \uD83E\uDD73 Day off de aniversário \uD83D\uDE91 Seguro de vida \uD83D\uDC89 Campanha de vacinação anual \uD83D\uDE8C VT \uD83C\uDF5D VR/VA \uD83D\uDCB0 Bônus anual \uD83D\uDC76 Auxílio creche \uD83C\uDF85 Vale natalino \uD83E\uDD30 Extensão dos períodos de licença maternidade e paternidade \uD83E\uDDE0 Programa de Apoio Pessoal Especializado (PAPE) \uD83C\uDF0E Plataforma Ástex: recurso gratuito para você aprender um novo idioma (inglês, espanhol, francês, italiano, alemão ou português) \uD83D\uDCDA Acesso a uma plataforma de learning conectada a todos os conteúdos do LinkedIn Learning e o'Reilly ♨️ Possibilidade de contratação de empréstimos pessoais com juros menores que os de mercado \uD83D\uDCEC Seguinte passo Candidate-se e se você conhece alguém que possa estar procurando por essa oportunidade, compartilhe.", "summaryDescription" : "Analista Pleno de Analytics e Data Insights at Getnet. 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Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. 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New Zealand; United States; United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R", "professionalSkills" : [ "Quantitative analysis", "Thought partner", "Stakeholder management", "Business decisions" ], "hardSkillsList" : [ "Statistical techniques", "Hypothesis testing", "Experimentation techniques" ], "hardSkills" : [ { "name" : "Statistical techniques", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "Experimentation techniques", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics, Business Intelligence", "majorSkillsList" : [ "Data Science", "Analytics", "Business Intelligence" ], "coreResponsibilities" : "Provide insights to understand marketplace dynamics, Provide insights to understand user behaviours, Provide insights to understand long-term trends, Use quantitative analysis, Present data, Build full-cycle analytics experiments, Build reports, Build dashboards, Identify levers to move metrics, Measure levers to move metrics, Make recommendations, Understand and size problems, Ideate solutions, Produce recommendations, Use statistical techniques, Use hypothesis testing, Use experimentation techniques, Validate findings", "teamCollaboration" : "Strategy & Operations teams; Executive Leadership Team; Cross-functional team; Strategy, operations, product, finance and engineering", "projectManagementSkills" : [ "Strategic projects" ], "domainKnowledge" : "Three-sided marketplace; Marketplace dynamics; User behaviours; Long-term trends", "domainList" : [ "three-sided-marketplace", "marketplace-dynamics", "user-behaviours", "long-term-trends" ], "domainSpecificKnowledge" : [ "Three-sided marketplace", "Marketplace dynamics", "User behaviours", "Long-term trends" ], "problemSolvingSkills" : "Ambiguous problems; Structured problem solving; Hypothesis-driven problem solving; Data-supported problem solving", "outcomesObjectives" : "Drive growth; Drive operational excellence", "qualificationsBasic" : "6+ years of experience, Degree in Math, Physics, Statistics, Economics, Computer Science, or similar, Very experienced with SQL queries, Basic ETL, Regression techniques, Proficiency in Python or R, Experience with experimentation techniques, Experience with A/B testing, Experience with Causal Inference, Experience interpreting hypothesis testing", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Team DoorDash is a complex and constantly evolving business; The global BizOps team is primarily responsible for crafting the story about business performance (what’s happening, why is it happening, what we should do about it), diving deep on key KPI trends, and surfacing insights and recommendations to stakeholders to ensure we understand our current business climate and react in a data-informed manner. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain. The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way Experience leading /owning strategic projects to completion with multiple cross-functional teams Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs Very experienced with SQL queries, Basic ETL, Regression techniques Proficiency in at least one programming language, preferably Python or R Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. If you need any accommodations, please inform your recruiting contact upon initial connection.", "summaryDescription" : "Senior Data Scientist at DoorDash. Skills: Data Science, Analytics, Business Intelligence. Provide insights to understand marketplace dynamics. 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Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. The Role We are seeking a Senior Quantitative Developer (VP) to take a leading role in designing, building and validating our pricing models. This includes creating financial pricing libraries for multiple asset classes, calculators and risk algorithms. The successful candidate will combine excellent mathematical skills with proven experience in financial markets and the ability to productionise high-quality software. The capacity to put yourself in the eyes of a trader will be very useful as we continue to ensure our product’s capabilities are ahead of competitors in the market. Responsibilities: - Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms - Using our in-house big data language for the large-scale analysis and production of securities data - Research and development of market dynamics across multiple asset classes - Prototyping, testing, and validation of TradingHub’s proprietary models - supporting and coaching more junior team members Requirements - Proven financial markets experience, ideally within an investment bank or pricing-related firm - Proficiency with C#, Python or another object-oriented programming language - Evidence of exceptional mathematical and analytical skills - A clear understanding of market risk, preferably for fixed-income - Good knowledge of derivatives (e.g. options, swaps, futures etc.) - Good knowledge of database technologies such as SQL, Postgres etc. - Able to deliver projects to agreed deadlines with excellent prioritisation skills Benefits Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. Employee Benefits: - Annual discretionary performance bonus (permanent employees only) - Hybrid working policy - Office lunches twice a week - Private medical insurance + dental cover - Extended parental leave (up to 6 months of fully paid maternity leave) - 25 days annual leave + bank holidays - Enhanced company pension plan - 5 days study leave towards professional qualifications - Salary sacrifice schemes - Death in service coverage Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.", "summaryDescription" : "Senior Quantitative Developer at TradingHub. Skills: Quantitative development, Financial markets, Software productionisation. Develop financial pricing libraries. Develop calculators", "createdAt" : "2026-06-14T02:04:14.207", "lastUpdated" : "2026-06-15T08:38:53.289", "ingestTimestamp" : "2026-06-14T02:04:14.207", "mongoId" : "6a2c68ca74d8ee00a0904c4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Mathematical analysis", "Financial modeling", "Risk assessment", "Database management", "Quantitative development", "Financial markets", "Software productionisation", "Pricing models", "Financial pricing", "Risk algorithms", "Securities data analysis", "Market dynamics research", "Model validation", "Prioritisation", "Market manipulation", "Asset classes", "Fixed-income risk", "Derivatives", "Options", "Swaps", "Futures" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 517.1393, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6bb474d8ee00a09141c7", "title" : "Junior Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Quantitative Researcher in Amsterdam, Netherlands, adjusted for entry-level experience and the FinTech industry." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T08:51:38.012", "fingerprint" : "66f88c066458580e20fe8613a3abdeb66e476c31f8ceaff19236d420e6f6f77e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4081386101", "externalId" : "4081386101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, R", "coreResponsibilities" : "Build and improve models", "problemSolvingSkills" : "Creative approach", "qualificationsBasic" : "Bachelor's degree, Python programming, C++ programming, R programming", "qualificationsPreferred" : "PhD", "workSiteFlexibility" : "Onsite", "rawDescription" : "Quantbox is a technology-driven Proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking to appoint a Junior Quantitative Researcher/Trader. What you’ll need: You possess a bachelor's degree / Phd in mathematics, computer science, statistics, physics, or a related field Ability to think independently and use creative approach in problem solving Familiarity with python, C++, R programming languages You will be responsible for building and improving the models that keeps us competitive in the market. You will work alongside the traders, software developers and our engineering scientist, you would learn, research, improve, test, build our trading algorithms to increase trading profitability. A typical day involves applying rigorous scientific method, machine learning techniques to a vast array of datasets in order to create insights on how the market behave. Quantbox is an equal opportunity employer. Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Junior Quantitative Researcher at Quantbox Research. Build and improve models", "postedDate" : "2026-06-14T02:53:47.403", "createdAt" : "2026-06-14T02:53:47.403", "lastUpdated" : "2026-06-15T08:51:38.012", "ingestTimestamp" : "2026-06-14T02:53:47.403", "mongoId" : "6a2c6bb474d8ee00a09141c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 514.31305, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe69", "title" : "Senior Data Analyst, Ads, Sales Enablement & Insights", "company" : "Amazon Advertising", "industry" : "Data Science, Business Intel Engineer, Advertising", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:24:06.134", "fingerprint" : "54b69ad1004c05cea3d218d7f19b57a3699b2b68dd740fbe67e230d52c94e0d7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051447/apply", "externalId" : "301d7cb9-36c7-4ad3-b81d-545f8a8790b2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AI", "professionalSkills" : [ "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives" ], "hardSkillsList" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Modeling", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Scaling insights", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data analysis, Insights, Automation", "majorSkillsList" : [ "Data analysis", "Insights", "Automation" ], "coreResponsibilities" : "Lead critical analytical projects, Shape insights and recommendations, Understand customer advertising problems, Leverage Amazon's first party insights, Leverage third party insights, Identify potential insights solutions, Automate and scale insights, Mentor junior employees, Play active role in maintaining team culture, Collaborate with senior stakeholders, Help advertisers and agencies optimize investment, Grow investment on Amazon Ads, Create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "teamCollaboration" : "Global stakeholder exposure; Collaborate with engineering teams; Collaborate with senior stakeholders", "domainKnowledge" : "Digital advertising; Media analytics; Ecommerce advertising", "domainList" : [ "digital-advertising", "media-analytics", "ecommerce-advertising" ], "domainSpecificKnowledge" : [ "Digital advertising", "Media analytics", "Ecommerce advertising" ], "communicationSkills" : "Written communication; Verbal communication; Data-driven narratives", "documentationSkills" : "Maintain documentation", "innovationCreativity" : "Leverage AI and automation", "problemSolvingSkills" : "Translate data into insights; Identify scaling opportunities", "qualificationsBasic" : "Bachelor's degree in quantitative discipline, 6+ years of experience in business analysis, data science, or business intelligence, Expert-level SQL skills, Programming skills in Python or R, Business acumen, Experience translating data into insights, Excellent written and verbal communication skills, Global stakeholder exposure, Collaborate with engineering teams, Use SQL and Python to create and enhance insights, Analyze complex datasets, Identify scaling opportunities, Design and implement quality control processes, Identify opportunities to leverage AI and automation, Maintain documentation and best practices", "qualificationsPreferred" : "Master's degree in computer science, Data Science, Engineering, or related field, Prior experience in digital advertising or media analytics, Knowledge of experimentation frameworks, Knowledge of statistical modeling techniques, Experience influencing senior decision-makers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising exists at the intersection of marketing and ecommerce and offers advertisers a rich array of innovative advertising solutions across Amazon owned properties, as well as third party properties Amazon operates. We believe that advertising, when done well, can greatly enhance the value of the customer experience and generate a positive return on investment for our advertising partners. The Analytics & Insights (A&I) organization develops actionable insights using Amazon’s unique data to influence how advertisers promote their businesses. Our insights enhance their marketing decision-making, leading to them to be measurably more successful with Amazon. The A&I organization consists of a variety of different Practices, which are groups that focus on different approaches to create these insights. Key job responsibilities We are looking for a Senior Analyst to lead critical analytical projects in support of Amazon’s Global Advertising organization. This individual will play a strategic role in shaping insights and recommendations that impact key advertising initiatives. The ideal candidate will be able to understand the customer's advertising problems and leverage Amazon's first party insights to find a solution. The candidate will also be able to leverage third party insights (when necessary). The candidate will identify potential insights solutions to automate and scale. They will help mentor junior employees on the team and play an active role in maintaining team culture and morale. This is a highly visible role, requiring collaboration with senior stakeholders in globally. About the team We are the Analytics & Insights team within the global Amazon Ads business. We solve problems for our sales teams, advertisers and partners by leveraging Amazon's rich first party insights and partnering with third party vendors (if needed). We help advertisers and agencies optimize and grow their investment on Amazon Ads. Basic Qualifications: - Bachelor’s degree in a quantitative discipline (e.g., Engineering, Math) - 6+ years of experience in business analysis, data science, or business intelligence - Expert-level SQL skills and experience manipulating large datasets - Strong programming skills in Python or R for automation and modeling - Strong business acumen and experience in translating data into insights - Excellent written and verbal communication skills with global stakeholder exposure - Collaborate with engineering teams to implement scalable solutions - Use SQL and Python to create and enhance insights, analyzing complex datasets to identify scaling opportunities - Design and implement quality control processes for scaled insights - Identify opportunities to leverage AI and automation in content creation - Maintain documentation and best practices for insights scaling Preferred Qualifications: - Master’s degree in computer science, Data Science, Engineering, or related field - Prior experience in digital advertising or media analytics - Knowledge of experimentation frameworks and statistical modeling techniques - Experience influencing senior decision-makers through data-driven narratives Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Data Analyst, Ads, Sales Enablement & Insights at Amazon Advertising. Skills: Data analysis, Insights, Automation. Lead critical analytical projects. Shape insights and recommendations", "postedDate" : "2026-06-13T11:47:34.930", "createdAt" : "2026-06-13T11:47:34.930", "lastUpdated" : "2026-06-15T04:24:06.134", "ingestTimestamp" : "2026-06-13T11:47:34.930", "mongoId" : "68b706997fc9a711f0f6fe69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051447/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Automation", "Modeling", "Quality control", "Scaling insights", "Mentoring", "Data analysis", "Insights", "Business analysis", "Data science", "Business intelligence", "Sales Enablement", "Insights generation", "Advertising initiatives", "Digital advertising", "Media analytics", "Ecommerce advertising" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 511.9084, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Ecommerce" }, { "id" : "6a2c7c2b74d8ee00a094c829", "title" : "Quantitative Developer, Intern", "company" : "Man Group", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in FinTech in China, adjusted for company size and industry." }, "location" : "China", "locations" : [ "China" ], "timestamp" : "2026-06-15T12:02:15.073", "fingerprint" : "41ea312f02588658cfa5e916ad3690a0279d74417f650c3a8fce22fb04e8cf47", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/mangroup/jobs/4847708101", "externalId" : "4847708101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "China", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "China", "employmentType" : "INTERNSHIP", "rawDescription" : "About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com * As at 31 December 2025 Key Skills if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.", "summaryDescription" : "Quantitative Developer, Intern at Man Group", "postedDate" : "2026-06-14T03:08:01.891", "createdAt" : "2026-06-14T03:08:01.891", "lastUpdated" : "2026-06-15T12:02:15.073", "ingestTimestamp" : "2026-06-14T03:08:01.891", "mongoId" : "6a2c7c2b74d8ee00a094c829", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 508.13577, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bb474d8ee00a09141c6", "title" : "Junior Quantitative Researcher", "company" : "Quantbox Research", "industry" : "FinTech", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior Quantitative Researcher in Bengaluru, India, adjusted for FinTech industry and entry-level experience." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India", "Hong Kong", "Singapore", "Central", "Singapore" ], "timestamp" : "2026-06-15T09:44:34.706", "fingerprint" : "07f6bc3993293ef29611ff57c8f11d338065a4854797fc19967782c00fb2b4b9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/quantboxresearchpte/jobs/4001979101", "externalId" : "4001979101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C++, R", "softSkillsList" : [ "Independent thinking", "Creative approach" ], "softSkills" : [ { "name" : "Independent thinking" }, { "name" : "Creative approach" } ], "coreResponsibilities" : "Build models, Improve models", "teamCollaboration" : "Work alongside traders; Work alongside software developers; Work alongside engineering team", "qualificationsBasic" : "Bachelor's degree, 1-2 years of experience", "qualificationsPreferred" : "PhD in mathematics, PhD in computer science, PhD in statistics, PhD in physics, Research experience a plus, Trading experience a plus", "workSiteFlexibility" : "Onsite", "rawDescription" : "Quantbox is a technology-driven proprietary trading firm that specializes in systematic alpha research and electronic market-making on various exchanges. We trade across a multitude of asset classes and trading venues with significant market share. We are looking for Junior Quantitative Researcher/Trader to join our team. What you’ll need: You possess a bachelor's degree / PhD in mathematics, computer science, statistics, physics, or a related field 1-2 years of experience in research or trading a plus Ability to think independently and use creative approach in problem solving Familiarity with python, C++, R programming languages You will be responsible for building and improving the models that keeps us competitive in the market. You will work alongside the traders, software developers and our engineering scientist, you would learn, research, improve, test, build our trading algorithms to increase trading profitability. A typical day involves applying rigorous scientific method, machine learning techniques to a vast array of datasets in order to create insights on how the market behave. Quantbox is an equal opportunity employer. Quantbox is a place of friends and colleagues, where people convert their passion into action. We believe in togetherness that brings out the best in ourselves and our Company. Our open and casual work culture gives you the space to innovate and deliver. Everyone on the team is approachable. Employee remuneration packages are reviewed regularly to ensure that they remain competitive. In recognition of our employees’ contributions and performance, for full time permanent roles we provide: Competitive compensation 4 Weeks of paid vacation Medical insurance International team outing Quantbox is an equal opportunities employer.", "summaryDescription" : "Junior Quantitative Researcher at Quantbox Research. Build models. Improve models", "postedDate" : "2026-06-13T20:50:22.456", "createdAt" : "2026-06-13T20:50:22.456", "lastUpdated" : "2026-06-15T09:44:34.706", "ingestTimestamp" : "2026-06-13T20:50:22.456", "mongoId" : "6a2c6bb474d8ee00a09141c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Independent thinking", "Creative approach" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 507.48358, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c76fb74d8ee00a093b688", "title" : "Quantitative Trading Strategist", "company" : "Voleon", "industry" : "Trading", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Berkeley, CA", "locations" : [ "Berkeley, CA" ], "timestamp" : "2026-06-15T05:22:08.550", "fingerprint" : "67404b9f8f52167ea15a903d78647dab59326618fdbcd4bf2cc5bd9a68bcc843", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/voleon/c295e1bc-e188-4da9-a9c3-fb7d430087e4/application", "externalId" : "c295e1bc-e188-4da9-a9c3-fb7d430087e4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berkeley", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.8708393,-122.2728630" } ], "locationText" : "Berkeley, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, R", "professionalSkills" : [ "Algorithmic execution", "Securities lending", "Portfolio financing", "Market microstructure" ], "hardSkillsList" : [ "Statistical methods", "Production code development" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Production code development", "level" : "intermediate" } ], "majorSkills" : "Quantitative trading, AI/ML, Investment management", "majorSkillsList" : [ "Quantitative trading", "AI/ML", "Investment management" ], "coreResponsibilities" : "Measure algorithmic execution quality, Improve algorithmic execution quality, Conduct high quality research, Create relevant reports, Present findings, Write high-quality production code, Design new packages, Develop new packages, Design data pipelines, Develop data pipelines, Design production trading applications, Develop production trading applications, Collaborate with trading team, Collaborate with RnD team, Improve trading strategies, Provide domain expertise, Manage relationships external brokers, Manage relationships trading partners", "teamCollaboration" : "Across teams; Trading and RnD team members", "domainKnowledge" : "Market microstructure; Asset classes", "domainList" : [ "market-microstructure", "asset-classes" ], "domainSpecificKnowledge" : [ "Market microstructure", "Asset classes" ], "communicationSkills" : "Present research findings", "qualificationsBasic" : "3+ years quantitative trading experience, Bachelor's degree scientific quantitative discipline, Proficient in basic statistics, Comprehensive market microstructure understanding", "remoteFriendly" : false, "rawDescription" : "Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a QTS, you will use deep markets knowledge alongside quantitative skills to improve the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor. RESPONSIBILITIES - Measure and improve algorithmic execution quality across asset classes - Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams - Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications - Collaborate with trading and RnD team members to improve our trading strategies - Provide domain expertise in market microstructure across asset classes to other members of trading and RnD - Manage relationships with external brokers and trading partners REQUIREMENTS - 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research - Bachelor’s degree in a scientific or quantitative discipline - Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams - Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data - Comprehensive understanding of market micro-structure and a passion for markets - Ability to effectively communicate across teams and present research findings in a clear and concise manner “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf. EQUAL OPPORTUNITY EMPLOYER The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.", "summaryDescription" : "Quantitative Trading Strategist at Voleon. Skills: Quantitative trading, AI/ML, Investment management. Measure algorithmic execution quality. Improve algorithmic execution quality", "createdAt" : "2026-06-13T22:06:41.300", "lastUpdated" : "2026-06-15T05:22:08.550", "ingestTimestamp" : "2026-06-13T22:06:41.300", "mongoId" : "6a2c76fb74d8ee00a093b688", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Production code development", "Quantitative trading", "AI/ML", "Investment management", "Algorithmic execution", "Securities lending", "Portfolio financing", "Market microstructure", "Asset classes" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 505.38815, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c9ff674d8ee00a09a0efe", "title" : "Analytics Manager, Partner Insights", "company" : "Rula", "industry" : "Finance", "salary" : { "min" : 157250.0, "max" : 175750.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T14:13:36.599", "fingerprint" : "0fc9c58195e0b2bfb049028b1186865badc1f06a7131f7b0349469202156075f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rula/36c48692-0a06-4d31-971c-63ae1f29d391/application", "externalId" : "36c48692-0a06-4d31-971c-63ae1f29d391", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Dbt, Airflow, Looker, Tableau, Hex", "professionalSkills" : [ "Data storytelling", "Reporting systems design", "Trend analysis", "Cross-functional partnership", "Strategy influence", "Client success support" ], "hardSkillsList" : [ "Quantitative analysis", "Data visualization", "Automation" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Reporting systems, Partner insights", "majorSkillsList" : [ "Data analytics", "Reporting systems", "Partner insights" ], "coreResponsibilities" : "Design reporting systems, Present insights to stakeholders, Automate foundational reports, Dive into trends", "teamCollaboration" : "Cross-functional partner; Internal client success teams; Sales teams", "domainKnowledge" : "Healthcare data; Payer reporting; Health system reporting; Clinical outcomes; Cost of care; Network adequacy; Utilization rates", "domainList" : [ "healthcare-data", "payer-reporting", "health-system-reporting", "clinical-outcomes", "cost-of-care", "network-adequacy", "utilization-rates" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer reporting", "Health system reporting", "Clinical outcomes", "Cost of care", "Network adequacy", "Utilization rates" ], "toolProficiency" : [ "SQL", "Dbt", "Airflow", "Looker", "Tableau", "Hex" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Transform data into stories; Unlock time for deeper trends", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency, Dbt proficiency, Airflow proficiency, Looker proficiency, Tableau proficiency, Hex proficiency, Experience with health plans, Experience with healthcare analytics, Experience with payer reporting, Experience with health-system reporting", "qualificationsPreferred" : "Startup environment experience, Transition manual reporting to automated workflows, Deep understanding of clinical outcomes, Deep understanding of cost of care, Deep understanding of network adequacy, Deep understanding of utilization rates", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms. We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being. We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare. Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role This role empowers Rula’s partnership teams by transforming complex healthcare data into clear, compelling stories for our largest partners. As an individual contributor, you will be responsible for designing reliable reporting systems and directly presenting easy-to-understand insights to external stakeholders. By applying your technical skills to automate foundational reports, you will unlock the time needed to dive into deeper trends around care and operational success. Ultimately, you will be a key customer-facing guide at the crossroads of data and relationships, directly influencing how partners experience the value Rula brings to the table. Required Qualifications - 5+ years of experience, embedded within an Analytics, Data Science, Operations, Product, or Engineering function - A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation - Experience working with health plans, healthcare analytics, payer and health-system-facing reporting - Advanced technical expertise with modern data stacks (i.e. SQL, dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.) - Experience operating as a highly collaborative cross-functional partner, with the ability to influence strategy, proactively anticipate cross-functional needs, and support internal client success/sales teams without having direct ownership of the account Preferred Qualifications While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement. - Experience within a fast-paced, high-growth, marketplace-centric startup environment with the ability to handle dynamic analytical priorities - A proven track record of successfully transitioning manual, one-off reporting tasks into automated, scalable workflows and templates - Deep understanding of specific healthcare performance indicators, such as clinical outcomes, cost of care, network adequacy, or utilization rates We're serious about your well-being! As part of our team, full-time employees receive: - 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii) - Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States - Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA - 401(k) plan access: Start saving for your future - Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees) - Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering - Employee Assistance Program (EAP): Supporting your mental and physical health - Quarterly department stipend: Fun team-building activities or in-person gatherings - Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all - Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses - Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend Our team We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:54:56.791", "lastUpdated" : "2026-06-16T08:17:43.745", "ingestTimestamp" : "2026-06-14T19:54:56.791", "mongoId" : "69dde45c2beec4dd3d9a3f9e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 497.00714, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc508f", "title" : "Senior Analyst, Industry Insights Retailers", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Analyst in Retail in Capetown, South Africa, adjusted for seniority and company size." }, "location" : "Capetown, ZA", "locations" : [ "Capetown", "ZA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:24:53.781", "fingerprint" : "e719006ae9e1a5006ff088058f6c0925b68321f4a59af053168bcc5627f1db0e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132167209-senior-analyst-industry-insights-retailers", "externalId" : "744000132167209", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Capetown", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-33.9228378,18.4269760" } ], "locationText" : "Capetown, Western Cape, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Snowflake, BigQuery, Databricks, Dbt, Fivetran, Airflow, AWS, GCP, Azure, Tableau, Power BI, Looker, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Data engineering", "Machine learning", "Data science" ], "hardSkillsList" : [ "Statistical methods", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analysis", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data models, Build and optimize data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Collaborate with stakeholders, Present findings to stakeholders, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Retail industry insights", "domainList" : [ "retail-industry-insights" ], "domainSpecificKnowledge" : [ "Retail industry insights" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "communicationSkills" : "Present findings", "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree, 5+ years of experience, SQL proficiency", "qualificationsPreferred" : "Master's degree preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified preferred, Dbt Certified preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NielsenIQ Customer Success places our customers at the heart of everything that we do. We strive to offer a consistent customer experience across all our markets by harmonizing our ways of working, focusing on engagement and driving analytics excellence. We give our customers an enjoyable, easy, effective service featuring a modernized customer experience. Customer Success is instrumental to realize the NielsenIQ vision to be a leading global information services company with strong, market leading growth enabled by new, innovative product offerings and modern technology that creates substantial value for our customers, retailers and employees. You’ll be working within the Analytics & Insights team, responsible for delighting clients around South Africa through delivering retail measurement insights and analysis for Retailer clients. Responsibilities Service Management: - Ensure the delivery of value analysis in a timely manner, aligned with strategic business priorities defined in the Account Plan with clients in South Africa - Support the generation of thought leadership materials. - Support account team building materials to new conversations with prospect clients -Providing performance overview analysis and business issue analysis to Retailer clients -Developing deep knowledge of NielsenIQ RMS solutions and delivering value for clients - Working closely with the Consulting Lead, Operations Team and Retailer Vertical to transform customer experience Efficiency / standardization / transformation: - Make use of NIQ Connect platform in presentations and ensure the incorporation of guided analytics as a fundamental part of analytics promoting self-service in clients. - Mapping of all deliverables committed to with the customer - Achieving transparency in responses, commitments and constant communication (used as a negotiation and service management tool) - Fulfilment of the service model agreed with the client (service mix). Promote self service to customers - Promote the use and application of NIQ Discover (data pull, reporting, business issues that can be solved by guided analytics) - Promote the use of NIQ Tools and systems for quality issues, special customer requirements and information available in the knowledge NielsenIQ - Plan trainings with clients to ensure the above-mentioned points Self-development: - Comply with the internal training and certification process defined by the company (onboarding and NielsenIQ academy). - Incorporation of the service code and golden rules in the day-to-day business. About you At Nielsen IQ you will experience a dynamic, open, and solution-oriented international environment, where we support your development through a trust-based feedback culture and diverse training possibilities. As part of our culture, our promise to you is that at Nielsen IQ you can: Be Yourself, Make a Difference & Grow with Us. Qualifications * Graduates preferably with background in Statistics (Masters Degree preferrable) * Fast learner, curious and interested in exploring data * Numeric and logical thinking. * Excellent analytical skills * Good communication and presentation skills * An ability to work independently and in a team * Fluent in spoken and written English * Competent in Microsoft Office (Excel, PowerPoint, Word, etc) ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Analyst, Industry Insights Retailers at NielsenIQ. Skills: Data analysis, Machine learning, Business intelligence. Develop and maintain data models. Build and optimize data pipelines", "postedDate" : "2026-06-15T10:37:36.000", "createdAt" : "2026-06-16T00:12:57.008", "lastUpdated" : "2026-06-16T10:24:53.781", "ingestTimestamp" : "2026-06-16T00:12:57.008", "mongoId" : "6a3068adf292fd229cfc508f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Data modelling", "Data analysis", "Machine learning", "Business intelligence", "Quantitative analysis", "Data engineering", "Data science", "Retail industry insights", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Snowflake", "BigQuery", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 490.1766, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306afff292fd229cfceb63", "title" : "Sr Manager, Distribution Insights and Analytics", "company" : "NBCUniversal", "industry" : "Entertainment", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NEW YORK, United States", "locations" : [ "New York", "NEW YORK", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T09:18:42.965", "fingerprint" : "afaa085e21ddbf0c4130a3767da4a46bd58a9db2da6ebd7e96afc025017dff0f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NBCUniversal3/744000132217389-sr-manager-distribution-insights-and-analytics", "externalId" : "744000132217389", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, 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", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data analytics", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform statistical analysis, Develop and deploy machine learning models, Collaborate with stakeholders to understand data needs, Communicate insights and recommendations, Ensure data quality and integrity", "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" : [ "SQL", "Python", "R", "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" ], "communicationSkills" : "Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Data analysis; Statistical analysis; Troubleshooting", "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 preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker)", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. About Platform Distribution & Partnerships: Platform Distribution and Partnerships is a division of NBCUniversal's media group responsible for the distribution and monetization of the company’s multi-billion-dollar linear and streaming services portfolio to pay-tv providers, NBC broadcast affiliates, consumer technology platforms and devices, and consumer brands. A key revenue-generator, the division is comprised of content distribution, affiliate relations and strategic partnerships across NBC, Peacock, Bravo, Telemundo and various FAST channels This is a unique and outstanding opportunity that offers exposure to all aspects of the NBC Network. The Affiliate Relations Division liaises between the NBC Network/Peacock and the 200+ NBC Affiliate Local Stations around the US. This includes working with Entertainment, Sports, News and Peacock. The Sr. Manager will lead the insights and analytics function for the division, focusing on the evolution of consumer viewing habits across linear and streaming platforms. The efforts will inform NBC’s broadcast distribution strategy across partners and platforms. The ideal candidate is a self-starter that can leverage a wide range of data tools to support high-visibility projects. Responsibilities * Responsible for supporting all ratings/data requests (recurring and ad-hoc) for Affiliate Relations team and larger Platform Distribution & Partnerships organization * Leverage data sources to develop internal presentations and client sales materials for critical affiliate deals * Develop frameworks for evaluating viewership of NBC/competitor content across platforms (Pay-TV, over-the-air, FAST) to shape competitive positioning * Work with leadership, communications, PR and other teams to support the development of materials for clients and industry platforms * Represent Affiliate Relations/Broadcast perspective when working on initiatives with vendors (i.e. Nielsen) and broader Decision Sciences organization * Work across NBCU departments to manage platforms and databases housing key station/market information such as ratings and clearances * Support Affiliate Reps in managing daily affiliate station relationships, with a focus on driving operational consistency ## Qualifications Qualifications * 6+ years of experience in insights, strategy, consulting or a related function * 3+ years of experience in measurement, analytics or insights at a media company (station, network, data platform) * Expertise in Media research platforms such as Nielsen, comScore, SNL Kagan, Adobe, Antenna * Expert Excel skills and experience compiling, transforming, and modeling stories using large datasets * Experience crafting compelling PowerPoint presentations that tell meaningful stories with data * Familiarity working with visualization tools (ex. Tableau) * Superior organizational and administrative skills with the ability to multi-task and prioritize work required * Excellent verbal and written communication skills with all levels both internal and external Additional Requirements: * Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. * This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. * Sr. Manager Salary range: $120,000 - $145,000 (Bonus Eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.", "summaryDescription" : "Sr Manager, Distribution Insights and Analytics at NBCUniversal. Skills: Data analytics, Machine learning, Business intelligence, Data engineering. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-15T14:25:16.000", "createdAt" : "2026-06-16T00:14:42.954", "lastUpdated" : "2026-06-16T09:18:42.965", "ingestTimestamp" : "2026-06-16T00:14:42.954", "mongoId" : "6a306afff292fd229cfceb63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Business intelligence", "Statistical modeling", "A/B testing", "Causal inference", "Data analytics", "Data modeling", "Statistical analysis", "Quantitative analysis", "Data science", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "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" ], "skillCount" : 52, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 485.2697, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0ea74d8ee00a09db7cf", "title" : "Senior Sales Insights Analyst", "company" : "Vertice", "industry" : "Business Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Sales Insights Analyst in New York, adjusted for the SaaS industry and company size." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-15T05:23:02.241", "fingerprint" : "27e15da37e0e29ffb9d9c43dd6df268c976ee5cd8e18aed3befa5f8a16214c31", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vertice/5c895fe9-3932-4aa1-a9c3-65d6a988755f/application", "externalId" : "5c895fe9-3932-4aa1-a9c3-65d6a988755f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 4, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Business analytics", "Process improvements", "Data analysis", "Financial impact analysis" ], "hardSkillsList" : [ "Data extraction", "Data analysis", "Dashboard design" ], "hardSkills" : [ { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Dashboard design", "level" : "intermediate" } ], "majorSkills" : "Sales insights, Data analysis, Executive presentations", "majorSkillsList" : [ "Sales insights", "Data analysis", "Executive presentations" ], "coreResponsibilities" : "Partner with sales organization, Drive revenue growth, Demonstrate financial impact, Analyze prospect SaaS stacks, Identify cost-saving opportunities, Present opportunities to executives, Build dynamic dashboards, Build automations", "teamCollaboration" : "Work with Sales team; Cross-functional work", "domainKnowledge" : "SaaS stacks; Technology spend management", "domainList" : [ "saas-stacks", "technology-spend-management" ], "domainSpecificKnowledge" : [ "SaaS stacks", "Technology spend management" ], "toolProficiency" : [ "Internal tooling" ], "communicationSkills" : "Presenting insights; Presenting findings", "problemSolvingSkills" : "Data analysis", "specialRequirements" : "2 days a week in office", "qualificationsBasic" : "2-4 years experience, Extracting and analyzing data, Presenting insights to others, Delivering results cross-functionally", "qualificationsPreferred" : "Experience in fast-paced environment, Translating complex data analysis, Presenting findings to executives, Python or SQL experience, Designing dashboards experience, Work ethic, Humility, kindness and respect", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Vertice was launched in 2022 to transform how companies manage their technology spend. Our agentic workflows, AI insights and expert buyers empower companies to buy smarter and scale faster, with Finance and Procurement leaders in over 30 countries worldwide trusting Vertice to manage their software purchases. In the software category alone, we have managed over $10bn in spend and have a track record of delivering 20% savings and halving procurement cycles. Headquartered in London with offices across the world including New York, Brno, Sydney and Johannesburg, we’re shaping the future of procurement on a global scale. And we’re just getting started. Founded by serial entrepreneurs Roy Tuvey and Eldar Tuvey, who have a track record of building two category-defining technology companies to exit, Vertice has seen a remarkable 13X revenue growth in two years. This trajectory earned us the #2 spot on the Sunday Times' 2026 Tech 100 list, following our recognition as 2025’s fastest-growing startup in the UK by the FT’s Sifted, and as fourth in Europe. Following our Series C, we have secured $100M+ in funding from leading investors including Bessemer Venture Partners, 83North and Lakestar, and are expanding our reach across our team. Do you want to make an outsized impact, work with exceptional people, and be part of a highly motivated team? Come and join our mission to build the Intelligent Procurement Platform. Your Role: As a Commercial Analyst at Vertice, you will be a strategic partner to our Sales organization, driving revenue growth by demonstrating the financial impact of our platform to prospective clients. You will own the critical analysis of our prospects' SaaS stacks, identifying and presenting compelling cost-saving opportunities directly to C-level executives at a diverse range of companies, from high-growth startups to established enterprise brands. You'll be reporting to the US Analytics Manager, and working closely with the Sales team from sales acceptance through deal closing activities. You'll also have other data focused responsibilities to provide our teams with the information and insights they need to work effectively, using our internal tooling to build dynamic dashboards and automations. Requirements: - You'll have 2-4 years of experience in a challenging role in consulting, professional services or business analytics - You'll have strong experience extracting and analyzing data in a methodical manner and delivering process improvements to help teams work more efficiently - You'll be comfortable with moderately complex concepts, and be able to talk confidently when presenting insights to others, both internally and externally - You'll have demonstrable success in delivering results working cross-functionally with a flexible, agile, and adaptable approach; used to wearing multiple hats and you won't get easily overwhelmed - 2 days a week in our New York office Things we like to see: - Experience working in a fast-paced environment - Experience translating complex data analysis into clear, compelling narratives and presenting findings to executive-level audiences - Experience with Python or SQL with the ability and experience in designing dashboards - Strong work ethic with a \"get stuff done\" mentality - Humility, kindness and respect in working with others. We're hoping to create a supportive and caring culture of high performing people, and your attitude is just as important as your skillset - Individuals that are eager to start something new; to commit to an ambitious plan and co-create a memorable and meaningful company. Autonomy is a highly valued quality #LI-DNP Final things to note Vertice is an equal opportunities employer, although you must be legally able to work in the specified region of the job. Any personal data you provide will be processed in accordance with Vertice's privacy policy and applicable data protection law. We use AI-assisted tools to help us review and assess applications more efficiently. These tools support our Talent team but do not make hiring decisions autonomously. You have the right to contest any AI-assisted decision, and exercise your data subject rights by contacting us; please follow the instructions in our privacy policy. We like to deal directly with our candidates so no agencies please! If you aren’t sure this job applies to you, feel free to send your CV to careers@vertice.one, and we’ll be happy to take a look and see if you could be a good fit anywhere else in our business!", "summaryDescription" : "Senior Sales Insights Analyst at Vertice. Skills: Sales insights, Data analysis, Executive presentations. Partner with sales organization. Drive revenue growth", "createdAt" : "2026-06-14T04:45:13.228", "lastUpdated" : "2026-06-15T05:23:02.241", "ingestTimestamp" : "2026-06-14T04:45:13.228", "mongoId" : "6a2cb0ea74d8ee00a09db7cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data extraction", "Data analysis", "Dashboard design", "Sales insights", "Executive presentations", "Business analytics", "Process improvements", "Financial impact analysis", "SaaS stacks", "Technology spend management", "Internal tooling" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 484.46973, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 24884, "totalPages" : 498, "hasNext" : true, "hasPrevious" : false } }

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