{ "count" : 85379, "data" : [ { "id" : "6a2c6c7c74d8ee00a0919231", "title" : "Associate Director, Analytics", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager-level Associate Director in the Media industry in London, UK, adjusted for company size and experience level." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:59:51.263", "fingerprint" : "9ceb36a41eca597ed9591217158dbeef989b6c45505e4905d31c26a4c87b04f1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5233840008", "externalId" : "5233840008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Modelling skills" ], "hardSkillsList" : [ "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years of experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com ABOUT OPENMIND OpenMind by WPP is an integrated agency model drawing on talent from across WPP. It has been created to accelerate the European transformation for Nestlé’s media function. Core to the solution is the advanced best data and technology capabilities, fuelled by WPP’s investment in AI, to maximise the impact of Nestlé’s media investment. Role Summary and Impact The Associate Director is an experienced media analyst as part of ZEUR UK team, responsible for developing strong relationships with the UK Nestle team, providing excellent marketing effectiveness skills and have the knowledge/skills to push innovative thinking as well as best in class analysis. You will be an excellent communicator. With 47 countries, +450 team members, and regular new product launches, the account is looking for someone to support Marketing & Campaign analytics for the UK&I market Work with the Analytics Director and cross-functional teams to foster collaboration and champion marketing effectiveness across UK& I. Lead end-to-end analytical projects, with strategic recommendations that drive business impact. Lead the creation of media investment analysis and provide recommendations on a diverse array of channel budget optimization tools and methodologies to be applied across the Nestle portfolio. Leverage Marketing Mix Models and Media Best Practice to advise on optimal investment and scenarios. Advise on channel-mix optimization, and deliver data-driven recommendations to clients, linking business intelligence directly to performance. Calibrate Marketing Mix Model response curves into the agency media planning software. Translate complex analytics into clear, compelling narratives for diverse internal and external audiences. Utilise business results and client learning agendas to optimise campaign design. Design and advise on comprehensive measurement plans for campaigns of varying complexity, including hypotheses, variables, and success metrics. Support measurement setup and proactively identify measurement gaps and lead client communications. Extract, organise, and analyse data from diverse sources (e. g. Campaign performance, social listening, competitive analysis) to distil and distribute actionable insights. Support the client's learning agenda and align media sufficiency principles with local market guidelines. Engage with the broader effectiveness analytics community to share learnings and ensure delivery of agency best practices (e.g., PCAs, experimentation). Skills and Experience At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Experience in marketing analytics. Ideal for a media-savvy analyst or an analytically focused planner. Detailed knowledge of media, marketing, and measurement across all channels. Excellent proficiency in Excel, PowerPoint, and common econometrics packages. Proven ability to convert complex analysis into real-world, actionable solutions. A creative problem-solving mentality, focused on providing robust and pragmatic solutions to client challenges. Very strong client-facing skills, with the ability to explain complex analysis clearly, simply, and compellingly. Ability to independently handle routine client requests and present findings internally. Ambitious, determined, and self-motivated, with a high sense of accountability and ownership. A strategic thinker and doer, curious with a strong thirst for continuous learning about technology, trends, and the industry. Ability to thrive in a fast-paced, deadline-driven environment, with a collaborative and partnership mindset. Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Associate Director, Analytics at WPP Media. 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domain owners", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Unified data analytics", "level" : "intermediate" }, { "name" : "Data technology", "level" : "intermediate" }, { "name" : "Platform unification", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "Terabyte scale", "level" : "intermediate" }, { "name" : "Petabyte scale", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution", "majorSkillsList" : [ "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution" ], "coreResponsibilities" : "Drive alignment of analytics standards, Lead high-performing analytics teams, Develop analytics teams, Enable creation of unified data catalog, Design data domains, Manage data domains, Develop data infrastructure platforms, Maintain data infrastructure platforms, Use AI agents for dashboards, Deliver automated insights, Deliver predictive analytics, Deliver anomaly detection, Ensure data governance compliance, Establish data management frameworks, Uphold data quality, Uphold data integrity, Translate data into insights, Enable global KPI metrics dashboard, Champion data management best practices", "teamCollaboration" : "Cross-functional collaboration; Partner with business owners; Partner with data engineering; Partner with data science; Partner with business teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Cloud data stacks; Data mesh; Data governance; Data residency; Privacy compliance; Security requirements", "domainList" : [ "cloud-data-stacks", "data-mesh", "data-governance", "data-residency", "privacy-compliance", "security-requirements" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "Data mesh", "Data governance", "Data residency", "Privacy compliance", "Security requirements" ], "toolProficiency" : [ "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "communicationSkills" : "Actionable insights; Clear insights", "documentationSkills" : "Governed data dictionary", "innovationCreativity" : "Innovating with emerging data", "problemSolvingSkills" : "Translate business challenges", "outcomesObjectives" : "Accelerate business growth; Deepen product understanding; Deepen membership understanding; Optimize business operations; Drive business decisions; Drive business outcomes; Improve performance; Improve efficiency; Improve revenue; Shape future growth", "qualificationsBasic" : "10+ years leadership, 5+ years managing managers, SQL proficiency, Analytics tools proficiency, AWS/GCP/Azure familiarity, Databricks/BigQuery/Redshift familiarity", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "workSiteFlexibility" : "Onsite", "rawDescription" : "Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Reporting to the VP of Data Engineering and Analytics, this role is to lead the Data Analytics team to enable global Analytics across Oura. About the Role We are seeking an experienced analytics platform leader as the Director for the Data Analytics team. In this role, you will be responsible for setting the vision and roadmap for the Analytics Data Lifecycle including Business Metrics, Business Glossary, Data Governance, Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations. The core function is to define and execute the organization’s data strategy to drive business decisions and outcomes by bridging the gap between technical and business stakeholders, transforming data into actionable insights to improve performance, efficiency and revenue. You will lead a talented team of business and data analysts, acting as a player-coach to guide their work and develop their careers. As a key partner to leaders across the Data Engineering and Analytics organization, you will translate complex business challenges into a clear analytical roadmap, ensuring your team delivers accurate, trustworthy, and actionable insights that shape the future of Oura's growth. What You Will Do Vision drive alignment and adoption of analytics standards, metrics, and tools across domains. People leadership: Build, lead, and develop high‑performing analytics teams (including managing managers), acting as a player‑coach and fostering technical excellence and business impact. Data Products: Enable the creation of a unified data catalog. Design, visualize and manage data domains to enable the creation of interoperable, trustworthy data products that can be easily consumed by other domains, often through data pipelines and stores like data lakes or lakehouses. Self-Serve Platform Analytics Platform: Develop and maintain both prepared and self-serve data infrastructure platforms that provide domain teams with the tools and capabilities to create, manage, and consume data products. Use of AI Agents to deliver interactive dashboards with automated insights, predictive analytics, and anomaly detection Global Data Governance, Residency, Data Mesh Privacy: Ensure that our federated data governance of the data mesh and processes meet privacy, compliance, and security requirements. Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices across multiple regions internationally Translate complex data into clear, actionable insights for stakeholders at all levels. Data Literacy: Enable global KPI metrics dashboard with a governed data dictionary to enable self service Champion best practices in data management of the global unified data mesh to ensure the accuracy, reliability, and trustworthiness of all data What You Have 10+ years of leadership in data/analytics; built high‑performing teams and cloud data platforms; 5+ years managing managers and scaling teams. Proven ability to lead the data lifecycle from definition through delivery; Master delivering measurable business outcomes and actionable insights; passion for data literacy. Experience innovating with emerging data technologies; attracting, developing, and inspiring top data talent. Proficiency with Analytics tools such as Tableau, ThoughtSpot, Looker, SQL, workflow engines, and stream processing. Hands‑on familiarity with AWS/GCP/Azure and Databricks / BigQuery / Redshift. Cross-Functional Collaboration: Experience working closely with the other leaders to ensure a holistic view of the customer journey from purchase to support. Partner with Business Domain Owners, Data Engineering, Data Science and Business teams to advocate for the unified data analytics and data governance best practices to succeed. Build, operate, and improve Oura’s Data lakehouse: Experience building and working with of a global data technology and platform that unifies data across systems to move, process, and store large amounts of data (Terabyte–Petabyte scale) leveraging tools such as Google Big Query, VertexAI, Databricks, Azure, AWS, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more. Experience applying AI/ML and predictive analytics to drive efficiency, personalization, and growth. Specifically, AI/LLM Enablement and Readiness: Natural Language Processing (NLP) and Large Language Model (LLM) Design using Retrieval Augmented Generation (RAG), Vector based data architecture and design, Prompt Engineering to enable LLM reporting Experience leading data mesh delivery, management and governance Establish scalable data management and governance frameworks that uphold data quality and integrity in line with industry best practices. Experience leveraging AI, machine learning, and predictive analytics to enhance efficiency, personalization, and business growth Familiarity with some of the following: Tableau, Thoughtspot, Looker, Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks, Agentic AI. You are self-motivated, proactive, and able to lead and manage your own work effectively A pragmatic and goal oriented approach to development Nice to Have Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries. Data and Platform Architecture, Agentic AI and ML Ops platform experience Security expertise in integrating diverse data sources, including product, transactional, and compliance data Embedded analytics into product, finance, sales, marketing, business operations, and customer experience Ability to navigate hypergrowth while managing regulatory constraints Strong people leader, capable of both strategic leadership and driving execution; experience leading and scaling data and analytics teams north of 10 Strong technical foundation, demonstrated through education or early-career hands-on roles Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $226,100 - $266,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Director, Data Analytics at Ōura. Skills: Data analytics leadership, Analytics platform, Data lifecycle management, Data strategy execution. Drive alignment of analytics standards. Lead high-performing analytics teams", "postedDate" : "2026-06-14T08:44:20.731", "createdAt" : "2026-06-14T08:44:20.731", "lastUpdated" : "2026-06-15T08:42:58.885", "ingestTimestamp" : "2026-06-14T08:44:20.731", "mongoId" : "6a2c934074d8ee00a0987b3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data analytics", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Query languages", "Scripting languages", "BI visualization", "Data platforms", "Statistical modeling", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference", "Cloud data services", "Data governance", "Data mesh", "Data quality", "Data integrity", "Data literacy", "Unified data mesh", "Global KPIs", "Data dictionary", "Data catalog", "Data products", "Data domains", "Data pipelines", "Data lakes", "Lakehouses", "Self-serve analytics", "Data infrastructure", "AI agents", "Automated insights", "Predictive analytics", "Anomaly detection", "Data residency", "Data management", "Performance optimization", "Revenue growth", "Career development", "Technical excellence", "Business impact", "Customer journey", "Business domain owners", "Data science", "Unified data analytics", "Data technology", "Platform unification", "Data processing", "Data storage", "Terabyte scale", "Petabyte scale", "Leadership", "Mentoring", "Data analytics leadership", "Analytics platform", "Data lifecycle management", "Data strategy execution", "Data strategy", "Business metrics", "Analytics standards", "Metrics definition", "Roadmap development", "Stakeholder management", "Business operations", "Cross-functional collaboration", "Privacy compliance", "Security requirements", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "ThoughtSpot", "Looker", "SQL", "Databricks", "BigQuery", "Redshift", "VertexAI", "AWS", "GCP", "Azure", "S3" ], "skillCount" : 92, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 1041.6161, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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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: "b120dfc7b7dccb2f4b73dabde3ec731aa86e3b4c660e93ab0b5bcd04bca5927f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/057d728b-eda3-463c-8b06-7fd2a2be6347/apply", "externalId" : "057d728b-eda3-463c-8b06-7fd2a2be6347", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking" ], "hardSkillsList" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Behavioral analytics", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Monitoring reports", "level" : "intermediate" }, { "name" : "Dashboards", "level" : "intermediate" }, { "name" : "Field interactions", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Speaker programs", "level" : "intermediate" }, { "name" : "Background checks", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Governance", "level" : "intermediate" }, { "name" : "Compliance investigations", "level" : "intermediate" }, { "name" : "Digital engagement", "level" : "intermediate" }, { "name" : "AI-driven processes", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Trade compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML", "majorSkillsList" : [ "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML" ], "coreResponsibilities" : "Design and implement RAMP framework, Collect, analyze, and interpret global compliance data, Detect risk patterns, control gaps, fraud indicators, and, Translate findings into actionable executive-level insights, Develop and enhance a dynamic compliance monitoring framework, Build and deliver high-quality monitoring reports and dashboards, Lead or support live monitoring activities, Oversee third-party risk management processes, Ensure data integrity, traceability, and governance, Serve as the primary compliance liaison for Internal, Support planning, testing, documentation review, and remediation actions, Contribute to compliance investigations, Identify and assess emerging risk areas, Support gap assessments and remediation tracking", "teamCollaboration" : "Collaboration with Internal Audit; Collaboration with functional teams; Collaboration with Quality; Collaboration with Finance; Collaboration with external partners; Cross-functional collaboration; Stakeholders across Legal; Stakeholders across Commercial; Stakeholders across Medical; Stakeholders across Finance; Stakeholders across Audit", "domainKnowledge" : "Life sciences compliance; Regulatory requirements; Anti-bribery; Anti-corruption; Global compliance frameworks; Industry best practices; Digital engagement; AI-driven processes; Data privacy; Trade compliance", "domainList" : [ "life-sciences-compliance", "regulatory-requirements", "anti-bribery", "anti-corruption", "global-compliance-frameworks", "industry-best-practices", "digital-engagement", "ai-driven-processes", "data-privacy", "trade-compliance" ], "domainSpecificKnowledge" : [ "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "communicationSkills" : "Executive reporting; Presentation capabilities", "documentationSkills" : "Documentation review", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel approximately 20%", "qualificationsBasic" : "Bachelor’s or Master’s degree, 10+ years of experience, Expertise in risk assessment and monitoring frameworks, Deep understanding of global life sciences compliance frameworks, Analytical skills, Ability to translate complex datasets, Proven experience supporting internal audits, Cross-functional collaboration skills, Excellent written and verbal communication skills, Demonstrated ability to work independently, Experience driving innovation", "qualificationsPreferred" : "Incorporating data analytics, AI, or machine learning, Pharmaceutical or biotech industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and implement an advanced Risk Assessment and Mitigation Plan (RAMP) framework leveraging AI, machine learning, behavioral analytics, and data-driven insights to proactively identify emerging compliance risks. Collect, analyze, and interpret global compliance data to detect risk patterns, control gaps, fraud indicators, and non-compliance trends, translating findings into actionable executive-level insights. Develop and enhance a dynamic compliance monitoring framework in collaboration with Internal Audit and other functional teams, including Quality, Finance, and external partners. Build and deliver high-quality monitoring reports and dashboards, including executive summaries, root cause analyses, and actionable recommendations for risk mitigation. Lead or support live monitoring activities such as field interactions, advisory boards, and speaker programs to ensure adherence to internal policies and regulatory requirements. Oversee third-party risk management processes, including anti-bribery/anti-corruption due diligence, sanctions screening, and background checks. Ensure data integrity, traceability, and governance across all risk assessment and monitoring activities. Serve as the primary compliance liaison for Internal Audit, supporting planning, testing, documentation review, and remediation actions. Contribute to compliance investigations, including root cause analysis and reporting outcomes. Identify and assess emerging risk areas such as digital engagement, AI-driven processes, data privacy, and trade compliance. Support gap assessments and remediation tracking to ensure consistent execution of risk and compliance actions across the organization. Requirements: Bachelor’s or Master’s degree in Life Sciences, Business, Data Science, Law, or a related field. 10+ years of experience in compliance, risk management, audit, or related roles within the pharmaceutical or biotech industry. Strong expertise in designing and implementing risk assessment and monitoring frameworks, ideally incorporating data analytics, AI, or machine learning. Deep understanding of global life sciences compliance frameworks, regulatory expectations, and industry best practices. Strong analytical skills with experience building dashboards, reporting tools, and compliance monitoring systems. Ability to translate complex datasets and regulatory signals into clear, actionable business insights. Proven experience supporting internal audits, inspections, and remediation activities. Strong cross-functional collaboration skills with the ability to influence stakeholders across Legal, Commercial, Medical, Finance, and Audit functions. Excellent written and verbal communication skills, including executive reporting and presentation capabilities. Demonstrated ability to work independently, prioritize effectively, and manage multiple complex initiatives. Experience driving innovation and change within compliance or risk management functions. Willingness to travel approximately 20% as required. Benefits: Competitive base salary range of $172,000 – $236,500, plus eligibility for short- and long-term incentive programs. Comprehensive health coverage including medical, dental, and vision insurance. Retirement savings plan with employer contributions. Life, disability, and additional voluntary insurance benefits. Generous paid time off and flexible work arrangements (remote eligible). Opportunity to shape next-generation, AI-enabled compliance and risk monitoring systems. High-impact leadership role with strong cross-functional visibility and executive exposure. Work within a global, innovation-driven biotech environment focused on ethical growth and patient impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, Ethics & Compliance - Risk Assessment and Monitoring. Skills: Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML. Design and implement RAMP framework. Collect, analyze, and interpret global compliance data", "postedDate" : "2026-06-15T10:21:26.440", "createdAt" : "2026-06-15T10:21:26.440", "lastUpdated" : "2026-06-16T11:46:58.941", "ingestTimestamp" : "2026-06-16T03:20:44.837", "mongoId" : "6a305117f292fd229cef961f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance", "Leadership", "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML", "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking", "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1000.9964, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7bad74d8ee00a094aa27", "title" : "Lead Actuarial Analyst, MA Risk Adjustment", "company" : "Strive Health", "industry" : "Healthcare", "salary" : { "min" : 99000.0, "max" : 124000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid", "locations" : [ "Hybrid" ], "certifications" : [ "Associate of the Society of Actuaries (ASA)", "Member of the American Academy of Actuaries (MAAA)" ], "timestamp" : "2026-06-16T03:01:00.254", "fingerprint" : "592d0ff80f3ca8188aa41b33e0288573a281a0f6976b9668291df9d5e81c078d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/strivehealth/jobs/4689054006", "externalId" : "4689054006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7762719,-96.7968559" }, { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "29.7589382,-95.3676974" }, { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" }, { "city" : "St. Petersburg", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.7712264,-82.6340259" }, { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Dallas, Texas, United States; Houston, Texas, United States; Tampa, Florida, United States; St. Petersburg, Florida, United States; Los Angeles, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SQL, Excel", "professionalSkills" : [ "Financial modeling", "Risk analysis", "Data analysis" ], "hardSkillsList" : [ "Actuarial analysis", "Statistical modeling", "Financial reporting" ], "hardSkills" : [ { "name" : "Actuarial analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Financial reporting", "level" : "intermediate" } ], "majorSkills" : "Risk adjustment, Actuarial analysis, Financial modeling", "majorSkillsList" : [ "Risk adjustment", "Actuarial analysis", "Financial modeling" ], "coreResponsibilities" : "Develop and maintain actuarial models, Perform risk adjustment analysis, Prepare financial reports, Support regulatory filings, Collaborate with finance and operations teams, Identify trends and variances, Recommend strategies for improvement, Stay current with industry regulations", "teamCollaboration" : "Finance teams; Operations teams; Cross-functional teams", "domainKnowledge" : "Healthcare finance; Risk adjustment methodologies; Actuarial science; Healthcare regulations", "domainList" : [ "healthcare-finance", "risk-adjustment-methodologies", "actuarial-science", "healthcare-regulations" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Risk adjustment methodologies", "Actuarial science", "Healthcare regulations" ], "toolProficiency" : [ "Bloomberg Terminal", "SQL Server", "Microsoft Office" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Model documentation; Report writing", "continuousLearning" : "Professional development; Industry conferences", "problemSolvingSkills" : "Analytical skills; Problem identification; Solution development", "outcomesObjectives" : "Ensure model accuracy; Improve financial performance; Support strategic decisions", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "How You’ll Make An Impact At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey. Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday. If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive! Benefits & Perks Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits. Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts. Financial & Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources. Time Off & Leave – Paid holidays, vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves. Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend. To learn more about our offerings, click here. What You'll Do We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics). We offer a competitive Actuarial Study Program designed to help you succeed, including exam fee support, study resources, and rewards for passing exams and achieving actuarial credentials. Essential Functions Translate RA performance data into clear financial insights (i. e. revenue impact, payment accuracy, ROI, forecasting). Analyze CMS data to identify areas of opportunity to increase operational efficiency. Interpret trends, model scenarios, and assess program and policy impacts. Enable data-driven decisions by linking operational performance to enterprise financial outcomes. Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i. e. staffing, tech, etc.). Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. Who You Are A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. Comfortable navigating ambiguity and bringing structure to complex problems. An exceptional communicator who can translate technical findings into actionable business recommendations. Qualifications 4+ years of experience in risk adjustment analytics. 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 3+ actuarial exams passed. High degree of proficiency in Microsoft Excel and SQL. Experience with PBI, Redshift, dbt docs is a plus. Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10% Final compensation will be determined based on location, experience, and qualifications. Strive Health is an equal opportunity employer and drug free workplace. At this time Strive Health is unable to provide work visa sponsorship. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please apply even if you feel you do not meet all qualifications. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talentacquisition@strivehealth.com. We do not accept unsolicited resumes from outside recruiters/placement agencies. Strive Health will not pay fees associated with resumes presented through unsolicited means.", "summaryDescription" : "Lead Actuarial Analyst, MA Risk Adjustment at Strive Health. Skills: Risk adjustment, Actuarial analysis, Financial modeling. Develop and maintain actuarial models. Perform risk adjustment analysis", "postedDate" : "2026-06-14T20:07:11.996", "createdAt" : "2026-06-14T20:07:11.996", "lastUpdated" : "2026-06-16T03:01:00.254", "ingestTimestamp" : "2026-06-14T20:07:11.996", "mongoId" : "6a2c7bad74d8ee00a094aa27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99000, "salaryAnnualMax" : 124000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Actuarial analysis", "Statistical modeling", "Financial reporting", "Risk adjustment", "Financial modeling", "Risk analysis", "Data analysis", "Healthcare finance", "Risk adjustment methodologies", "Actuarial science", "Healthcare regulations", "Associate of the Society of Actuaries (ASA)", "Member of the American Academy of Actuaries (MAAA)", "Bloomberg Terminal", "SQL Server", "Microsoft Office" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 996.466, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309104f292fd229c0ba247", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsanet", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "timestamp" : "2026-06-16T10:53:17.993", "fingerprint" : "e930f3b3815cba77dedd0cb72cf16ed0c2294a10c5830ade19169993f2fb887e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itcss/jobs/6030919004", "externalId" : "6030919004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Hi Tarsan! Thanks for your interest in this position. Please review the details and if role and if it's something that could match your career goals, connect with your current manager and HRBP to discuss if your experience and skills line up. If everything is a go, please apply and the Talent Acquisition team will contact you for an interview so we can also get to know you better. - Your Human Resources Team About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsanet", "postedDate" : "2026-06-16T03:16:04.227", "createdAt" : "2026-06-16T03:16:04.227", "lastUpdated" : "2026-06-16T10:53:17.993", "ingestTimestamp" : "2026-06-16T03:16:04.227", "mongoId" : "6a309104f292fd229c0ba247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 986.43567, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307af3f292fd229c042239", "title" : "Sr Director, Enterprise Data & Analytics", "company" : "Tarsus Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 255000.0, "max" : 357000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Irvine, California, United States", "locations" : [ "Irvine", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:28:48.325", "fingerprint" : "15009b0557edbb13d8878c332809bcc4fd98d0daac11b375a51b7d0dd874df71", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://tarsusrx.com/careers?gh_jid=6030918004", "externalId" : "6030918004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Vertex AI, Azure ML", "professionalSkills" : [ "Quantitative analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification modeling", "level" : "intermediate" }, { "name" : "Clustering algorithms", "level" : "intermediate" }, { "name" : "Time-series forecasting", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "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 science models, Build and maintain data pipelines, Design and execute A/B tests, Create and maintain BI dashboards, Collaborate with cross-functional teams, Provide analytical insights, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions. The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise. Let’s talk about some of the key responsibilities of the role: Define and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiator. Serve as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business value. Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption Proactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomes. Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloads. Ensure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulations. Direct the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscape. Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperability. Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems. Serve as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworks. Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards. Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners. Lead and manage IT budgets for all enterprise data and analytics spend. Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities. Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence. Factors for Success: Bachelor’s in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus. 15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciences. Deep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partners. Familiarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11). Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and Spotfire. Experience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platforms. Proven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platforms. Exceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiences. Strong financial acumen with experience managing budgets and spending for all data analytics related projects and consultants. Good project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the project. A good team player with experience in managing and developing diverse, distributed teams of data professionals. Tarsus Leadership Competencies: Empowering Others - Fosters empowerment by aligning authority with accountability, developing leaders’ decision-making capability, and creating systems that support performance and growth. Emotional Intelligence - Foster trust and psychological safety, navigating complex interpersonal dynamics with compassion and accountability, and adapting leadership style to support others while maintaining composure under pressure. Grows Capacity - Builds organizational capacity by developing talent systems, coaching cultures, and strategic partnerships that grow leadership strength and prepare the next generation of leaders. Business Acumen - Demonstrates strong business acumen by anticipating market dynamics and using financial and strategic insight to guide investments, manage risk, and align priorities with long-term organizational value. Innovative Mindset and Action - Demonstrates an innovative mindset by championing new ideas, investing in enabling systems and partnerships, and translating innovation into sustainable growth and organizational resilience. A Few Other Details Worth Mentioning: The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered. We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact! This position reports directly to VP, Digital & IT Some travel may be required – up to 10% At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot. #LI-Hyrbid #LI-Remote Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.", "summaryDescription" : "Sr Director, Enterprise Data & Analytics at Tarsus Pharmaceuticals. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:18:21.091", "createdAt" : "2026-06-16T01:18:21.091", "lastUpdated" : "2026-06-16T12:28:48.325", "ingestTimestamp" : "2026-06-16T01:18:21.091", "mongoId" : "6a307af3f292fd229c042239", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 255000, "salaryAnnualMax" : 357000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Data modeling", "Statistical analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 984.27606, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7bad74d8ee00a094aa1b", "title" : "Lead Actuarial Analyst, MA Risk Adjustment", "company" : "Strive Health", "industry" : "Healthcare", "salary" : { "min" : 99000.0, "max" : 124000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid", "locations" : [ "Hybrid" ], "certifications" : [ "Associate of the Society of Actuaries (ASA)", "Member of the American Academy of Actuaries (MAAA)" ], "timestamp" : "2026-06-16T02:32:17.095", "fingerprint" : "f8b9fea073a2a4e099373543072e598df708497c162caf3c63de9556e6aef27f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/strivehealth/jobs/4689053006", "externalId" : "4689053006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7762719,-96.7968559" }, { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "29.7589382,-95.3676974" }, { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" }, { "city" : "St. Petersburg", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.7712264,-82.6340259" }, { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Dallas, Texas, United States; Houston, Texas, United States; Tampa, Florida, United States; St. Petersburg, Florida, United States; Los Angeles, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, R, SQL, Excel", "professionalSkills" : [ "Financial modeling", "Risk analysis", "Data analysis" ], "hardSkillsList" : [ "Actuarial analysis", "Statistical modeling", "Financial reporting" ], "hardSkills" : [ { "name" : "Actuarial analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Financial reporting", "level" : "intermediate" } ], "majorSkills" : "Risk adjustment, Actuarial analysis, Financial modeling", "majorSkillsList" : [ "Risk adjustment", "Actuarial analysis", "Financial modeling" ], "coreResponsibilities" : "Perform actuarial analysis, Develop financial models, Analyze risk adjustment data, Prepare financial reports, Support regulatory filings, Collaborate with finance teams, Present findings to management", "teamCollaboration" : "Cross-functional teams; Finance and actuarial departments", "domainKnowledge" : "Healthcare finance; Risk adjustment methodologies; Actuarial science; Healthcare regulations", "domainList" : [ "healthcare-finance", "risk-adjustment-methodologies", "actuarial-science", "healthcare-regulations" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Risk adjustment methodologies", "Actuarial science", "Healthcare regulations" ], "toolProficiency" : [ "Bloomberg Terminal", "SQL Server", "Microsoft Office" ], "communicationSkills" : "Present findings; Report writing", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development; Continuing education", "problemSolvingSkills" : "Analytical skills; Problem resolution", "outcomesObjectives" : "Ensure accurate risk adjustment reporting; Improve financial forecasting accuracy; Support strategic decision-making", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "How You’ll Make An Impact At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey. Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday. If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive! Benefits & Perks Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits. Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts. Financial & Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources. Time Off & Leave – Paid holidays, vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves. Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend. To learn more about our offerings, click here. What You'll Do We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics). We offer a competitive Actuarial Study Program designed to help you succeed, including exam fee support, study resources, and rewards for passing exams and achieving actuarial credentials. Essential Functions Translate RA performance data into clear financial insights (i. e. revenue impact, payment accuracy, ROI, forecasting). Analyze CMS data to identify areas of opportunity to increase operational efficiency. Interpret trends, model scenarios, and assess program and policy impacts. Enable data-driven decisions by linking operational performance to enterprise financial outcomes. Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls. Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i. e. staffing, tech, etc.). Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted. Who You Are A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity. Able to manage a high volume of recurring and ad hoc deliverables without compromising quality. Comfortable navigating ambiguity and bringing structure to complex problems. An exceptional communicator who can translate technical findings into actionable business recommendations. Qualifications 4+ years of experience in risk adjustment analytics. 4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data. 3+ actuarial exams passed. High degree of proficiency in Microsoft Excel and SQL. Experience with PBI, Redshift, dbt docs is a plus. Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance). Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10% Final compensation will be determined based on location, experience, and qualifications. Strive Health is an equal opportunity employer and drug free workplace. At this time Strive Health is unable to provide work visa sponsorship. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please apply even if you feel you do not meet all qualifications. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talentacquisition@strivehealth.com. We do not accept unsolicited resumes from outside recruiters/placement agencies. Strive Health will not pay fees associated with resumes presented through unsolicited means.", "summaryDescription" : "Lead Actuarial Analyst, MA Risk Adjustment at Strive Health. Skills: Risk adjustment, Actuarial analysis, Financial modeling. Perform actuarial analysis. Develop financial models", "postedDate" : "2026-06-14T19:10:36.447", "createdAt" : "2026-06-14T19:10:36.447", "lastUpdated" : "2026-06-16T02:32:17.095", "ingestTimestamp" : "2026-06-14T19:10:36.447", "mongoId" : "6a2c7bad74d8ee00a094aa1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 99000, "salaryAnnualMax" : 124000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Actuarial analysis", "Statistical modeling", "Financial reporting", "Risk adjustment", "Financial modeling", "Risk analysis", "Data analysis", "Healthcare finance", "Risk adjustment methodologies", "Actuarial science", "Healthcare regulations", "Associate of the Society of Actuaries (ASA)", "Member of the American Academy of Actuaries (MAAA)", "Bloomberg Terminal", "SQL Server", "Microsoft Office" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 977.90894, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30578df292fd229cf3b246", "title" : "Director, Data Science (Marketing Analytics)", "company" : "WPP Media", "industry" : "Media", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director, Data Science in London, UK, adjusted for the media industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:34:33.119", "fingerprint" : "3a6ba62df525fbf243ac489ac4826d3b9b5e3c96574d118a4c07a07dc922c5c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/wppmedia/jobs/5256672008", "externalId" : "5256672008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Data Engineering, Marketing Analytics", "majorSkillsList" : [ "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics" ], "coreResponsibilities" : "Develop and implement advanced statistical and machine learning, Design and build data pipelines, Create and maintain BI dashboards and reports, Analyze marketing campaign performance, Provide data-driven insights to stakeholders, Collaborate with engineering teams, Ensure data quality and integrity, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Marketing teams; Engineering teams; Stakeholders", "domainKnowledge" : "Marketing analytics; Customer segmentation; Campaign optimization; Attribution modeling; Customer lifetime value", "domainList" : [ "marketing-analytics", "customer-segmentation", "campaign-optimization", "attribution-modeling", "customer-lifetime-value" ], "domainSpecificKnowledge" : [ "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present insights; Communicate findings", "problemSolvingSkills" : "Analytical problem solving", "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.  WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. 2492 - Director, Data Science (Marketing Analytics) - UK Role Summary and Impact We are seeking an exceptional Senior Data Scientist to join our Marketing Science team, serving as both a technical leader and hands-on contributor in building advanced activation solutions that drive superior client performance. This role combines strategic leadership responsibilities with deep technical expertise in econometric modelling and predictive analytics. Responsibilities This is a dynamic and compelling role, and the successful candidate will need to demonstrate an ability to manage multiple projects simultaneously. You will develop a close working relationship with various internal and external teams. The objectives of the role are varied and will adapt to the business objectives as we grow. The following areas are key to the successful management and development of the team: Drive technical excellence and innovation in marketing measurement Build and scale team capabilities that enhance expertise in advanced analytics and marketing analytics methodologies Strengthen stakeholder relationships Establish analytical standards and best practices Foster a culture of continuous learning, collaboration, and excellence within the department Responsibilities Leadership and Team Management: Lead and mentor a team of data scientists and analysts, fostering professional development and technical excellence Establish team priorities, allocate resources effectively, and ensure delivery of high-quality analytical solutions Develop and implement training programs to enhance team capabilities in advanced analytics and marketing analytics Conduct performance reviews, provide regular feedback, and support career progression planning Build a collaborative, innovation-focused team culture that encourages experimentation and learning Stakeholder Management Serve as the primary analytical consultant for senior client stakeholders and internal leadership teams Translate complex analytical insights into actionable business recommendations and strategic guidance Collaborate with client service teams to scope analytical requirements and deliver solutions that meet business objectives Present high-level insights, recommendations, and innovations to senior stakeholders Cultivate strong relationships with agencies, identifying opportunities for expanded collaboration and business growth Address escalated client concerns and ensure consistent delivery of high-quality solutions Technical Excellence & Data Science Design, build, and validate Marketing Mix Models (MMM) using advanced econometric techniques Develop predictive models for campaign performance, customer behaviour, and business outcomes Implement cutting-edge statistical approaches including Bayesian modelling, machine learning, and causal inference Create cross-channel reach and frequency measurement frameworks and attribution models Build automated reporting and monitoring systems for ongoing campaign optimization Oversee the development of innovative data models and analytical frameworks to drive marketing effectiveness Ensure the team stays current with the latest advancements in data science and machine learning relevant to marketing Collaborate with the Marketing Strategists to translate complex data insights into actionable marketing strategies Guide the development of optimisation strategies both independently and in collaboration with WPP Media EMEA team. Innovation & Methodology Development Research and implement new analytical approaches, tools, and methodologies in marketing science Develop proprietary frameworks and best practices for effectiveness measurement and optimization Lead proof-of-concept projects exploring emerging techniques in marketing analytics Establish analytical standards and quality assurance processes across the team Contribute to thought leadership through white papers, industry presentations, and case studies Skills & Experience Advanced expertise in Marketing Mix Modelling (MMM) including media saturation curves, adstock effects, and base vs. incremental decomposition Strong econometrics background with experience in time series analysis, panel data methods, and causal inference Proficiency in predictive modelling using machine learning techniques (regression, tree-based methods, neural networks) Programming expertise in R and/or Python with experience in relevant libraries (e.g., tidyverse, scikit-learn, PyMC3, Stan) Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, SQL) Knowledge of experimental design and A/B testing methodologies Familiarity with marketing measurement frameworks including attribution, incrementality testing, and media optimization Business & Leadership Skills Exceptional communication skills with ability to present complex analyses to non-technical stakeholders Proven experience managing and developing technical teams Strong project management capabilities with experience handling multiple concurrent initiatives Deep understanding of digital marketing ecosystem and media channels Experience working in agency, consulting, or client services environment preferred Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.  #LI-Promoted Please read our Privacy Notice for more information on how we process the information you provide.", "summaryDescription" : "Director, Data Science (Marketing Analytics) at WPP Media. Skills: Data Science, Machine Learning, Data Engineering, Marketing Analytics. Develop and implement advanced statistical and machine learning. Design and build data pipelines", "postedDate" : "2026-06-15T23:22:36.690", "createdAt" : "2026-06-15T23:22:36.690", "lastUpdated" : "2026-06-16T10:34:33.119", "ingestTimestamp" : "2026-06-15T23:22:36.690", "mongoId" : "6a30578df292fd229cf3b246", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning", "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Database management", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "Machine Learning", "Data Engineering", "Marketing Analytics", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Marketing analytics", "Customer segmentation", "Campaign optimization", "Attribution modeling", "Customer lifetime value", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 974.3449, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b76f292fd229cf5e05a", "title" : "Associate Director, Information Security Risk", "company" : "EQT Group", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Associate Director, Information Security Risk in Financial Services in Warsaw, Poland, adjusted for Director seniority and full-time employment." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:55:33.446", "fingerprint" : "1002902146dbbaeebab6c88f26f44d9b30e387829be17cdefc2b9427c735de83", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897327101", "externalId" : "4897327101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design", "Incident response", "Vendor risk management", "Policy development", "Standards development", "Procedure development" ], "hardSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Risk reporting", "Vendor security requirements", "Cyber incident response", "Board reporting", "Risk appetite dashboards" ], "softSkillsList" : [ "Intellectual rigour", "Constructive challenge" ], "hardSkills" : [ { "name" : "Information security risk", "level" : "intermediate" }, { "name" : "Cybersecurity governance", "level" : "intermediate" }, { "name" : "Technology risk", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Risk reporting", "level" : "intermediate" }, { "name" : "Vendor security requirements", "level" : "intermediate" }, { "name" : "Cyber incident response", "level" : "intermediate" }, { "name" : "Board reporting", "level" : "intermediate" }, { "name" : "Risk appetite dashboards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual rigour" }, { "name" : "Constructive challenge" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Technology risk, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Regulatory frameworks" ], "coreResponsibilities" : "Translate cybersecurity risk, Translate technology risk, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead regulatory framework implementation, Monitor emerging obligations, Oversee vendor risk reviews, Define vendor security requirements, Track remediation of gaps, Coordinate incident response, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; With CISO function; With governance forums; With Technology teams; With senior management; With governance committees", "domainKnowledge" : "Financial services environment; Cross-border regulatory dynamics; Cybersecurity technologies; Cybersecurity architectures; Cybersecurity solutions; Digital tools; Workflow automation; Data governance obligations", "domainList" : [ "financial-services-environment", "cross-border-regulatory-dynamics", "cybersecurity-technologies", "cybersecurity-architectures", "cybersecurity-solutions", "digital-tools", "workflow-automation", "data-governance-obligations" ], "domainSpecificKnowledge" : [ "Financial services environment", "Cross-border regulatory dynamics", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Digital tools", "Workflow automation", "Data governance obligations" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Board-level reporting; Senior audience communication", "continuousLearning" : "Continuous professional development", "problemSolvingSkills" : "Risk reduction; Risk mitigation", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram", "summaryDescription" : "Associate Director, Information Security Risk at EQT Group. Skills: Information security risk, Cybersecurity governance, Technology risk, Regulatory frameworks. Translate cybersecurity risk. Translate technology risk", "postedDate" : "2026-06-15T23:24:48.348", "createdAt" : "2026-06-15T23:24:48.348", "lastUpdated" : "2026-06-16T08:55:33.446", "ingestTimestamp" : "2026-06-15T23:24:48.348", "mongoId" : "6a305b76f292fd229cf5e05a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Risk reporting", "Vendor security requirements", "Cyber incident response", "Board reporting", "Risk appetite dashboards", "Intellectual rigour", "Constructive challenge", "Regulatory frameworks", "Risk assessment", "Control design", "Governance design", "Incident response", "Vendor risk management", "Policy development", "Standards development", "Procedure development", "Financial services environment", "Cross-border regulatory dynamics", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Digital tools", "Workflow automation", "Data governance obligations", "CISM", "CRISC", "CISSP", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 34, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 932.5191, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b76f292fd229cf5e059", "title" : "Associate Director, Information Security Risk", "company" : "EQT Group", "industry" : "FinTech", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an Associate Director, Information Security Risk in Financial Services in Warsaw, Poland, adjusted for director-level seniority and full-time employment." }, "location" : "Warszawa, Masovian Voivodeship, Poland", "locations" : [ "Warszawa", "Masovian Voivodeship", "Poland" ], "certifications" : [ "CISM", "CRISC", "CISSP" ], "timestamp" : "2026-06-16T08:06:33.159", "fingerprint" : "952a1d4d8a31c3e333437b382c388dfa4b1e6fbad80af07de3bcbf4abb568f95", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/eqtpartners/jobs/4897613101", "externalId" : "4897613101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warszawa", "state" : "Masovian Voivodeship", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warszawa, Masovian Voivodeship, Poland", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "DORA, NIS2, ISO 27001, NIST", "professionalSkills" : [ "Risk assessment", "Control design", "Governance design" ], "hardSkillsList" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions" ], "hardSkills" : [ { "name" : "Information security risk", "level" : "intermediate" }, { "name" : "Cybersecurity governance", "level" : "intermediate" }, { "name" : "Technology risk", "level" : "intermediate" }, { "name" : "Security controls", "level" : "intermediate" }, { "name" : "Vendor risk assessments", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" }, { "name" : "Cybersecurity technologies", "level" : "intermediate" }, { "name" : "Cybersecurity architectures", "level" : "intermediate" }, { "name" : "Cybersecurity solutions", "level" : "intermediate" } ], "majorSkills" : "Information security risk, Cybersecurity governance, Regulatory frameworks", "majorSkillsList" : [ "Information security risk", "Cybersecurity governance", "Regulatory frameworks" ], "coreResponsibilities" : "Identify security risks, Assess security risks, Track security risks, Escalate material issues, Design security controls, Implement security controls, Draft information security policies, Maintain information security policies, Enforce information security policies, Lead implementation regulatory frameworks, Monitor emerging obligations, Oversee information security component, Define vendor security requirements, Track remediation identified gaps, Coordinate response activities, Ensure governance obligations met, Lead post-incident reviews, Produce board-ready reporting, Produce risk appetite dashboards, Produce briefing materials", "teamCollaboration" : "Across global footprint; Across functions; With CISO; With governance forums; With Technology teams", "domainKnowledge" : "Regulated financial services; Cross-border regulatory dynamics; Third-party vendor risk; Critical outsourcing; Cyber incident response; Information security policies; Security risk frameworks; Technology risk; Asset management; Private equity; Banking; Financial services", "domainList" : [ "regulated-financial-services", "cross-border-regulatory-dynamics", "third-party-vendor-risk", "critical-outsourcing", "cyber-incident-response", "information-security-policies", "security-risk-frameworks", "technology-risk", "asset-management", "private-equity", "banking", "financial-services" ], "domainSpecificKnowledge" : [ "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Technology risk", "Asset management", "Private equity", "Banking", "Financial services" ], "communicationSkills" : "Board-ready reporting; Risk appetite dashboards; Briefing materials; Senior audiences; Board-level audiences", "qualificationsBasic" : "10 years information security risk, 10 years cybersecurity governance, 10 years technology risk, Build security risk frameworks, Operate security risk frameworks, Implement regulatory frameworks, Lead third-party vendor risk assessments, Solid background incident response, Advise technology teams, Credibly challenge technology teams, Distil technical topics, Distil risk topics", "qualificationsPreferred" : "CISM, CRISC, CISSP, Experience international team, Experience matrix organisation, Familiarity digital tools, Familiarity workflow automation, Exposure data governance obligations, Contribute board reporting, Contribute senior governance reporting", "rawDescription" : "EQT is looking for an Associate Director, Information Security Risk to serve as the firm's subject matter expert on information security risk — translating complex cybersecurity and technology risk into clear governance frameworks and actionable business outcomes. This is a senior individual contributor role sitting within the CISO function, reporting directly to the CISO, and operating across a global, regulated financial services environment. About the Team Risk, Regulatory, Compliance identify, assess and track security risks across the firm and escalate material issues to the CISO and relevant governance forums. Design and implement pragmatic, proportionate security controls that balance risk reduction with business agility. Draft, maintain and enforce information security policies, standards and procedures aligned to regulatory requirements and industry best practice. Lead implementation of applicable regulatory frameworks across EQT's global footprint (including DORA, NIS2, ISO 27001 and NIST) and monitor the horizon for emerging obligations. Oversee the information security component of third-party vendor risk reviews, including critical outsourcing assessments; define vendor security requirements and track remediation of identified gaps. Play a central role in EQT's cyber incident response capability — coordinating response activities, ensuring governance obligations are met, and leading post-incident reviews. Produce high-quality, board-ready reporting, risk appetite dashboards and briefing materials for senior management and governance committees. About You You are a seasoned information security risk professional with a commercial mindset and a talent for making complex risk topics accessible to senior audiences. You build trust across functions naturally, hold your ground on risk positions constructively, and bring genuine intellectual rigour to governance and control design. What you'll bring (must-have): Around 10 years of experience in information security risk, cybersecurity governance, or technology risk within asset management, private equity, banking or financial services. Proven track record building and operating security risk and control frameworks in a regulated financial services environment. Hands-on experience implementing regulatory frameworks such as DORA, NIS2, ISO 27001 or NIST, with solid understanding of cross-border regulatory dynamics. Demonstrated experience leading third-party vendor risk assessments, including outsourcing and critical supplier reviews. Solid background in incident response, from operational coordination through to governance reporting and lessons learned. Deep working knowledge of cybersecurity technologies, architectures and solutions, sufficient to advise and credibly challenge Technology teams. Strong communication skills with the ability to distil complex technical and risk topics into concise, impactful materials for senior and board-level audiences. Nice to have: Relevant professional qualifications such as CISM, CRISC or CISSP. Experience working within an international team or matrix organisation. Familiarity with digital tools and workflow automation that enhance team efficiency and risk reporting. Exposure to data governance obligations and their intersection with information security risk. Prior experience contributing to board or senior governance committee reporting in a financial services context. What We Offer At EQT, you will join a global firm that operates at the intersection of technology, finance and impact. You will have direct access to senior leadership, meaningful scope to shape how information security risk is governed at a complex, internationally active firm, and the opportunity to work alongside colleagues who hold themselves and each other to a high standard. EQT supports continuous professional development and values diverse perspectives as a driver of better outcomes. Compensation We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR ‌270 billion in total assets under management (EUR ‌‌141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn, X, YouTube and Instagram", "summaryDescription" : "Associate Director, Information Security Risk at EQT Group. Skills: Information security risk, Cybersecurity governance, Regulatory frameworks. Identify security risks. Assess security risks", "postedDate" : "2026-06-15T23:23:26.048", "createdAt" : "2026-06-15T23:23:26.048", "lastUpdated" : "2026-06-16T08:06:33.159", "ingestTimestamp" : "2026-06-15T23:23:26.048", "mongoId" : "6a305b76f292fd229cf5e059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information security risk", "Cybersecurity governance", "Technology risk", "Security controls", "Vendor risk assessments", "Incident response", "Cybersecurity technologies", "Cybersecurity architectures", "Cybersecurity solutions", "Regulatory frameworks", "Risk assessment", "Control design", "Governance design", "Regulated financial services", "Cross-border regulatory dynamics", "Third-party vendor risk", "Critical outsourcing", "Cyber incident response", "Information security policies", "Security risk frameworks", "Asset management", "Private equity", "Banking", "Financial services", "CISM", "CRISC", "CISSP" ], "skillCount" : 27, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 925.5209, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7af974d8ee00a0947b24", "title" : "Head of Risk Adjustment/Coding Operations", "company" : "Oasis Health Partners", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, Illinois, United States", "locations" : [ "Chicago", "Illinois", "United States" ], "certifications" : [ "CRC", "CPC", "CPMA" ], "timestamp" : "2026-06-15T08:33:09.084", "fingerprint" : "017e6b44b060f80e020e787e376b14038e2c499302ef9a29dbf73c68188b2b3b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oasishealthpartners/jobs/5066886008", "externalId" : "5066886008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "professionalSkills" : [ "Risk adjustment strategy", "Coding operations", "Performance management", "Provider education", "Data analytics", "Automation tools" ], "hardSkillsList" : [ "HCC coding", "RAF methodologies", "CMS requirements", "Quality assurance", "Risk controls" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "HCC coding", "level" : "intermediate" }, { "name" : "RAF methodologies", "level" : "intermediate" }, { "name" : "CMS requirements", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Risk controls", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Risk Adjustment, Coding Operations, Medicare Advantage, HCC Coding", "majorSkillsList" : [ "Risk Adjustment", "Coding Operations", "Medicare Advantage", "HCC Coding" ], "coreResponsibilities" : "Define enterprise risk adjustment strategy, Design risk adjustment programs, Lead coding operations, Establish performance metrics, Partner with leaders, Collaborate with Data teams, Develop coding team, Ensure compliance with CMS", "teamCollaboration" : "Cross-functional leaders; Central Operations; Quality leaders; Data leaders; Clinical leaders; Market leaders; Technology teams; Health plans", "domainKnowledge" : "Medicare Advantage; HCC coding; RAF methodologies; CMS requirements; V28 rules; CMS regulations; Coding guidelines; Documentation standards", "domainList" : [ "medicare-advantage", "hcc-coding", "raf-methodologies", "cms-requirements", "v28-rules", "cms-regulations", "coding-guidelines", "documentation-standards" ], "domainSpecificKnowledge" : [ "Medicare Advantage", "HCC coding", "RAF methodologies", "CMS requirements", "V28 rules", "CMS regulations", "Coding guidelines", "Documentation standards" ], "toolProficiency" : [ "NLP solution" ], "communicationSkills" : "Provider education; Reporting", "documentationSkills" : "Documentation accuracy; Documentation standards", "outcomesObjectives" : "Improve documentation accuracy; Improve coding performance; Maximize efficiency; Capture value; Reduce administrative burden; Enhance efficiency; Monitor impact; Guide prioritization", "qualificationsBasic" : "Bachelor's degree in healthcare administration, CRC, CPC, CPMA, or equivalent certifications, 10+ years Medicare Advantage risk adjustment, 7+ years leading certified coding teams, Demonstrated evolving risk adjustment programs, Working knowledge of V28 rules", "qualificationsPreferred" : "Start-Up experience a plus", "rawDescription" : "Who You Are You are an experienced Risk Adjustment leader with a demonstrated ability to design, scale and evolve Medicare Advantage risk adjustment programs in complex, multi-market environments. You bring an enterprise mindset and pair deep subject-matter expertise with strong operational judgment, enabling you to translate strategy into sustainable execution. You have led certified coding organizations, implemented technology-enabled workflows, and partnered across operations, data, clinical, and market teams to improve documentation accuracy, coding performance, and provider engagement. You understand that effective risk adjustment requires more than operational excellence — it requires thoughtful prioritization, scalable design and a clear connection between effort, impact and outcomes. You are comfortable operating in environments undergoing change and growth, and you bring the discipline and perspective needed to position Risk Adjustment as a core contributor to Oasis’s 2026 performance and long-term value creation. Who We Are Oasis Health Partners (Oasis) is building healthier communities by advancing primary care. We partner with patients, providers and plans to provide personalized, local care for seniors in towns across America. We believe that patients’ needs come first, and that primary care is the foundation of patient centric healthcare. With Oasis, patients receive better access and care. Providers receive the data, resources, and expertise to be successful in value-based care arrangements. Payors get the benefit of a solution that improves performance, drives growth, and reduces the total cost of care in hard-to-engage markets.     Together, we will boldly advance primary care for those that need it most. We are excited for you to join us on this journey. We invite you to be a part of Oasis, where you’ll discover we listen first, do the right thing, build things together and go all in --- while having fun!  Your Role As Head of Risk Adjustment/Coding Operations, you will be accountable for the strategy, design and performance of Oasis’s risk adjustment program. This role owns the end-to-end operating model, including program structure, coding operations, compliance, performance management and cross-functional alignment. You will lead a team of coding professionals and work closely with Central Operations, Quality, Data, Clinical and Market leaders to ensure risk adjustment activities are integrated with enterprise priorities and designed for scalability and sustainability. This role plays a central part in shaping how Oasis deploys risk adjustment capabilities across markets and health plans in a way that is scalable, compliant, and aligned with provider partnerships. Key Responsibilities: Define and execute the enterprise risk adjustment strategy in partnership with cross-functional leaders, ensuring alignment with organizational objectives, payer requirements, and regulatory standards. Design and oversee risk adjustment programs that balance retrospective and prospective approaches, informed by performance data, operational feasibility, and provider experience Lead coding operations, including staffing models, workflows, training, quality assurance, and performance management, with a focus on consistency and scalability Establish performance metrics, reporting, and feedback mechanisms that connect risk adjustment activity to outcomes and value, and inform ongoing prioritization Partner with Clinical and Market leaders to support effective, right-sized provider education and engagement related to documentation and coding Collaborate with Data and Technology teams to leverage analytics, automation, and tools that improve efficiency and decision-making across the risk adjustment lifecycle Develop and mentor the risk coding team, fostering accountability and continuous improvement Ensure compliance with CMS regulations, coding guidelines, and documentation standards, maintaining strong audit readiness and risk controls 2026 Priorities Evaluate and implement a best-in-class NLP solution to maximize efficiency in our coding programs Develop and maximize our Coding Education Platform to provide a tiered to solution for our provider partners Partner with all signed health plans to establish a retrospective review process, inclusive of chart retrieval, chart review and provider education Establish ASM Prospective solutions to capture value from our day-to-day coding process and reduce the administrative burden of chart collection at End Of Year Implement solutions to align chart collection to enhance our efficiency and remove administrative impact Establish clear reporting and governance to monitor impact, guide prioritization, and support ongoing optimization of risk adjustment efforts Investment In Our Team We invest in the personal and professional success of our team. We take care of our people and offer robust benefits including 401K, medical, dental, vision and generous time off plans. We are committed to supporting your growth with a development program that starts with onboarding and continues throughout your career. As an inclusive, passionate and diverse team, you will partner with professionals who understand the importance of high-value, high-impact patient care.    About You Bachelor’s degree in healthcare administration, public health, business administration, or related field CRC, CPC, CPMA, or equivalent certifications 10+ years experience in Medicare Advantage risk adjustment, with deep expertise in HCC coding, RAF methodologies, and CMS requirements 7+ years of experience leading certified coding teams with accountability for performance outcomes Demonstrated experience evolving risk adjustment programs in dynamic or growing organizations Working knowledge of V28 rules and regulations and applications Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Comfortable in ambiguous, fast-paced roles with a focus on change management and continuous improvement (Start-Up experience a plus). Salary Range $200,000—$250,000 USD The posted salary range reflects the broader pay range for the level associated with this role. Because the range is designed to support growth over time, starting salaries are typically aligned to a candidate's experience and demonstrated scope relative to the role. At this time, we are unable to sponsor employment visas. Candidates must be authorized to work in the United States without a current or future visa sponsorship. This role is open to applicants currently residing in the United States. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status.", "summaryDescription" : "Head of Risk Adjustment/Coding Operations at Oasis Health Partners. Skills: Risk Adjustment, Coding Operations, Medicare Advantage, HCC Coding. Define enterprise risk adjustment strategy. Design risk adjustment programs", "postedDate" : "2026-06-14T05:37:53.112", "createdAt" : "2026-06-14T05:37:53.112", "lastUpdated" : "2026-06-15T08:33:09.084", "ingestTimestamp" : "2026-06-14T05:37:53.112", "mongoId" : "6a2c7af974d8ee00a0947b24", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 250000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "HCC coding", "RAF methodologies", "CMS requirements", "Quality assurance", "Risk controls", "Leadership", "Mentoring", "Risk Adjustment", "Coding Operations", "Medicare Advantage", "HCC Coding", "Risk adjustment strategy", "Coding operations", "Performance management", "Provider education", "Data analytics", "Automation tools", "V28 rules", "CMS regulations", "Coding guidelines", "Documentation standards", "CRC", "CPC", "CPMA", "NLP solution" ], "skillCount" : 25, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 916.27637, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309712f292fd229c0d9578", "title" : "Associate Director, Analytical Development", "company" : "Centessa Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 180000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "timestamp" : "2026-06-16T12:26:29.784", "fingerprint" : "9a119fd3f7446a9e418d5bfe3b637ca48f3b6b711a06a383187c0c804e1a448d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centessapharmaceuticalsinc/jobs/6026931004", "externalId" : "6026931004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "HPLC/UPLC, GC, KF, XRPD", "professionalSkills" : [ "Analytical planning", "Resource management" ], "hardSkillsList" : [ "Assay development", "Related substances development", "Forced degradation", "Residual solvents", "Elemental impurities", "Microbial testing", "Dissolution", "Compendial methods", "Stability studies", "CGMP compliance" ], "softSkillsList" : [ "Leadership", "Negotiation" ], "hardSkills" : [ { "name" : "Assay development", "level" : "intermediate" }, { "name" : "Related substances development", "level" : "intermediate" }, { "name" : "Forced degradation", "level" : "intermediate" }, { "name" : "Residual solvents", "level" : "intermediate" }, { "name" : "Elemental impurities", "level" : "intermediate" }, { "name" : "Microbial testing", "level" : "intermediate" }, { "name" : "Dissolution", "level" : "intermediate" }, { "name" : "Compendial methods", "level" : "intermediate" }, { "name" : "Stability studies", "level" : "intermediate" }, { "name" : "CGMP compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" } ], "majorSkills" : "Analytical Development, Small Molecule Development, Regulatory Submissions", "majorSkillsList" : [ "Analytical Development", "Small Molecule Development", "Regulatory Submissions" ], "coreResponsibilities" : "Review and assemble information for analytical sections in, Coordinate domestic shipments, Coordinate international shipments, Serve as a technical expert, Aid in analytical investigations, Aid in troubleshooting, Assist with batch record review, Assist with deviation investigations", "teamCollaboration" : "Internal business partners; External business partners; Managing groups; Managing CMOs; Managing CDMOs; Managing vendors", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Small molecules; Early to late-development; ICH stability guidelines; Compendial (USP, EP); cGMP laboratory practices", "domainList" : [ "small-molecules", "early-to-late-development", "ich-stability-guidelines", "compendial-usp", "ep", "cgmp-laboratory-practices" ], "domainSpecificKnowledge" : [ "Small molecules", "Early to late-development", "ICH stability guidelines", "Compendial (USP, EP)", "cGMP laboratory practices" ], "communicationSkills" : "Interpersonal skills; Communication skills", "documentationSkills" : "Regulatory submission documents", "problemSolvingSkills" : "Analytical investigations; Troubleshooting", "specialRequirements" : "Occasional travel", "qualificationsBasic" : "PhD in Chemistry, PhD in Pharmaceutical Sciences, MS with extensive relevant biotech/pharmaceutical industry experience, 10+ years of experience in biotech/pharmaceutical industry, Small molecules experience, Early to late-development experience, Analytical planning experience, Resource management skills, In depth knowledge of assay development, In depth knowledge of related substances development, In depth knowledge of forced degradation, In depth knowledge of HPLC/UPLC, In depth knowledge of GC, In depth knowledge of KF, In depth knowledge of XRPD, In depth knowledge of residual solvents, In depth knowledge of elemental impurities, In depth knowledge of microbial testing, In depth knowledge of dissolution, In depth knowledge of compendial methods, Hands-on experience carrying out stability studies, Knowledge of ICH stability guidelines, Knowledge of compendial requirements, Knowledge of compendial standards, Detailed knowledge of current Good Manufacturing Practices (cGMP), Ability to identify/remediate gaps in processes or systems", "qualificationsPreferred" : "Experience managing DS/DP stability, Experience in QC settings", "workSiteFlexibility" : "Onsite", "rawDescription" : "Centessa Pharmaceuticals plc (Nasdaq: CNTA) new kind of pharmaceutical company with a deconstructed R review and assemble information for analytical sections in regulatory submission documents (e. g. IND, IMPD, NDA, etc) Coordinate and execute domestic and international shipments Serve as a technical expert and aid in analytical investigations and troubleshooting Assist with batch record review and deviation investigations Qualifications PhD in Chemistry, Pharmaceutical Sciences, or a related discipline or MS with extensive relevant biotech/pharmaceutical industry experience 10+ years of experience in biotech/pharmaceutical industry in small molecules, working in early to late-development (pre-clinical to phase 3) Strong analytical planning and resource management skills in a dynamic environment located across multiple geographies In depth knowledge of assay and related substances development, forced degradation, HPLC/UPLC, GC, KF, XRPD, residual solvents, elemental impurities, microbial testing, dissolution, compendial methods. Hands-on experience in carrying out stability studies for drug substance and drug product in development and/or QC settings Experience managing DS/DP stability, and knowledge of ICH stability guidelines Knowledge of compendial (USP, EP, etc) requirements and standards Detailed knowledge and understanding of current Good Manufacturing Practices (cGMP) related to the QC laboratory and ability to identify/remediate gaps in processes or systems Strong organizational skills and attention to detail Good interpersonal and communication skills to collaborate effectively with internal and external business partners Requires a good understanding of managing groups, CMOs, CDMOs and other vendors Work Location The Associate Director, Analytical Development role is based in the US, with occasional travel. Compensation The annual base salary range for this position is $180,000.00 to $195,000.00. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. In addition to base pay, this role is eligible for a discretionary annual bonus. Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. POSITION: Full-Time, Exempt EEOC Statement: Centessa Pharmaceuticals believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Centessa Pharmaceuticals will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Please note: We will not assign referral rights for any unsolicited resumes from recruitment agencies.", "summaryDescription" : "Associate Director, Analytical Development at Centessa Pharmaceuticals. Skills: Analytical Development, Small Molecule Development, Regulatory Submissions. Review and assemble information for analytical sections in. Coordinate domestic shipments", "postedDate" : "2026-06-16T03:16:28.536", "createdAt" : "2026-06-16T03:16:28.536", "lastUpdated" : "2026-06-16T12:26:29.784", "ingestTimestamp" : "2026-06-16T03:16:28.536", "mongoId" : "6a309712f292fd229c0d9578", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 180000, "salaryAnnualMax" : 195000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Assay development", "Related substances development", "Forced degradation", "Residual solvents", "Elemental impurities", "Microbial testing", "Dissolution", "Compendial methods", "Stability studies", "CGMP compliance", "Leadership", "Negotiation", "Analytical Development", "Small Molecule Development", "Regulatory Submissions", "Analytical planning", "Resource management", "Agile", "Small molecules", "Early to late-development", "ICH stability guidelines", "Compendial (USP, EP)", "cGMP laboratory practices" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 909.294, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6e870f0b99d589b3a89", "title" : "Director of Reporting and Analytics", "company" : "SMU", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director of Reporting and Analytics in Dallas, adjusted for the education industry and director-level seniority." }, "location" : "TX-Dallas", "locations" : [ "TX-Dallas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:42:44.801", "fingerprint" : "209768f93e678f82182d88ec91775d47dd48120fefeed7ad940e7f97a11e7c00", "source" : "taleo", "language" : "en", "applyUrl" : "https://smu.taleo.net/careersection/ex/jobdetail.ftl?job=74552", "externalId" : "74552", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Business Intelligence, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and maintain reporting dashboards, Analyze complex datasets, Build predictive models, Collaborate with stakeholders, Ensure data quality, Optimize data pipelines, Present findings to leadership, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Technical teams", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "communicationSkills" : "Stakeholder communication; Presentation skills", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Bachelor's degree in a quantitative field, 5+ years of experience in data analytics or related field, Proficiency in SQL, Experience with data visualization tools", "qualificationsPreferred" : "Master's degree or PhD in a quantitative field, Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift), Experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with data engineering tools (e.g., dbt, Airflow), Relevant certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Salary Range: Salary commensurate with experience and qualifications About SMU SMU’s more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University’s small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences , Cox School of Business , Lyle School of Engineering , Meadows School of the Arts , Simmons School of Education and Human Development , Dedman School of Law , Perkins School of Theology and Moody School of Graduate and Advanced Studies . SMU is data driven, and its powerful supercomputing ecosystem – paired with entrepreneurial drive – creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU’s relationship with Dallas – the dynamic center of one of the nation’s fastest-growing regions – offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Department: Development and External Affairs (DEA) supports SMU by securing funding for University priorities; by promoting meaningful involvement in the life and work of the University; by heightening international, national, state and local awareness of SMU; and by supporting the enrollment of a diverse and able student body. DEA comprises the offices of Office of the Vice President, Annual Giving and Alumni Relations, Development Services, Program Services and Donor Relations, Marketing and Communications, Principal and Major Gifts, and School and Project Development. SMU continues to leverage the benefits from the largest fund-raising campaign in its history to achieve dramatic increases in academic quality and impact. About the Position: This role is an on-campus, in-person position. The Director of Reporting and Analytics leads the strategic vision and execution of the reporting and analytics functions in concert with the Vice President of Development Services, directly supporting the objectives of the Development and External Affairs (DEA) division. The Director manages a team of professionals to develop, convert, and maintain the essential reporting suite while ensuring data integrity, consistency, and optimal architecture. By serving as a thought partner for stakeholders, the Director is critical in translating business goals into actionable insights and robust data services, ultimately maximizing the return on investment in data tools and empowering data-driven decision-making across DEA and SMU. Essential Functions: Leads, mentors, and develops the team of three analytics professionals. This involves setting clear performance expectations, prioritizing and assigning workloads, and fostering a collaborative environment. This leader's guidance is key to guiding the team through the CRM conversion and empowering them to become experts in the new toolset. Owns the technical vision and strategic roadmap for the reporting team. This includes evaluating and guiding the use of the entire reporting suite (Salesforce, CRMA, Tableau, and Apsona) to ensure SMU is maximizing its investment. Creates and enforces standards, processes, and structured governance for query tools like Workbench to ensure consistency and accuracy. Serves as the primary analytics partner and consultant for key stakeholders for Development and External Affairs (DEA) and campus partners. Proactively meets with partners to understand their business goals, translating those goals into technical specifications, and managing the intake process for all new data, report and dashboard requests. Leads the creation of SMU's essential reports during and following the Salesforce conversion. Manages the entire development lifecycle from scoping and design to build, testing, and deployment ensuring that new data requests and reports are accurate, efficient, and provide enhanced insights. Ensures colleagues understand business decisions and logic behind reporting models. Oversees the team's operational output, ensuring the timely and accurate fulfillment of ad-hoc data requests, such as mailing lists and metrics. A critical component of this function is designing, implementing, and enforcing a robust quality assurance (QA) process for all data outputs to guarantee data integrity and build stakeholder trust. Partners closely with the Advancement Applications and Technology Services team to inform and advise on the advancement data architecture, especially within Salesforce. This includes providing an analytics perspective on data flows, object relationships, and the impact of integrations with other third-party solutions to ensure data is structured for optimal reporting and analysis. Other duties as assigned. Occasional travel for professional conferences, speaking engagements, and/or site visits is required. Education and Experience: Bachelor’s degree is required. A Master's degree is preferred. Process improvement and project management certifications are preferred. A minimum of seven years of work experience is required. Experience managing multiple direct reports in a fast-paced, deadline oriented environment is also required. Experience in nonprofit development is desired. Higher education development experience is strongly preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning, and time management skills. Candidate must have strong public speaking and presentation skills necessary to drive adoption of data-driven practices and deliver actionable insights from analytics projects. Candidate must demonstrate knowledge of data governance standards and relevant regulation, particularly in regard to personally identifiable information (PII). Candidate must have substantial experience in the management of large scale non-profit CRM software, data analysis tools, and automated business intelligence tools. Physical and Environmental Demands: Sit for long periods of time Deadline to Apply: The position is open until filled. Priority consideration may be given to submissions received by January 9, 2026 EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefit s. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution. SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU. The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities , including tuition benefits . USA-TX-Dallas", "summaryDescription" : "Director of Reporting and Analytics at SMU. Skills: Data Analytics, Business Intelligence, Machine Learning, Data Engineering. Develop and maintain reporting dashboards. Analyze complex datasets", "createdAt" : "2026-06-14T19:52:47.793", "lastUpdated" : "2026-06-15T21:42:44.801", "ingestTimestamp" : "2026-06-14T19:52:47.793", "mongoId" : "694ae6e870f0b99d589b3a89", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Database management", "Cloud computing", "Data Analytics", "Business Intelligence", "Machine Learning", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "_score" : 880.3756, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 850.55176, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a2e", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York, New York", "locations" : [ "New York, New York", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "Miami, Florida", "San Francisco Bay Area" ], "timestamp" : "2026-06-16T10:02:42.899", "fingerprint" : "62d85bfed8594804691ebbd3dd3941c788fcb3483399c1ab71653ea11095b341", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/214c3e5e-694d-43e1-9077-a7ee20b4acb7/application", "externalId" : "214c3e5e-694d-43e1-9077-a7ee20b4acb7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "BizOps, Analytics, Data insights", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights" ], "coreResponsibilities" : "Define business questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain business happenings, Explain business reasons, Propose next steps", "teamCollaboration" : "Embedded in business units; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car ownership management; Insurance; Home ownership management; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership-management", "insurance", "home-ownership-management", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Write clearly; Speak precisely", "problemSolvingSkills" : "Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Grow to 50M customers; Become $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define metrics", "createdAt" : "2026-06-16T00:32:01.638", "lastUpdated" : "2026-06-16T10:02:42.899", "ingestTimestamp" : "2026-06-16T00:32:01.638", "mongoId" : "6a305930f292fd229cf45a2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communicator", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership management", "Insurance", "Home ownership management", "Motorcycle ownership", "RV ownership", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 842.7185, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5e274d8ee00a09b8771", "title" : "Director of Analytics", "company" : "Collective Health", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T07:17:58.865", "fingerprint" : "e063e73d7bd833010aa94c5c5ae49671e34f6fd2268ea059b019998fbd3e9117", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.collectivehealth.com/apply/?gh_jid=7994891", "externalId" : "7994891", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Dbt, Looker, Snowflake, Databricks, BigQuery, Airflow, LLMs, RAG architecture, Generative AI", "professionalSkills" : [ "Strategic leadership", "Client reporting", "Analytics strategy", "Roadmap development", "Data analysis", "AI-informed analytics", "Data management", "Claims processing", "Team leadership", "Stakeholder management", "Cross-functional partnership", "Strategic thinking", "Hands-on execution" ], "hardSkillsList" : [ "Healthcare data expertise", "Claims adjudication accuracy", "Payment integrity", "Data modelling", "Statistical analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Healthcare data expertise", "level" : "intermediate" }, { "name" : "Claims adjudication accuracy", "level" : "intermediate" }, { "name" : "Payment integrity", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics strategy, Client reporting, AI-informed analytics, Data management", "majorSkillsList" : [ "Analytics strategy", "Client reporting", "AI-informed analytics", "Data management" ], "coreResponsibilities" : "Own analytics strategy and roadmap, Build reporting infrastructure, Deliver automated reporting infrastructure, Align analytics initiatives with business priorities, Serve as analytics representative in client conversations, Oversee analysis of claims data, Oversee analysis of member data, Oversee analysis of benefits data, Surface trends and inefficiencies, Surface opportunities for cost savings, Surface opportunities for process improvement, Shift analytics function to proactive, Surface insights informing product strategy, Surface insights informing CS strategy, Surface insights informing executive decision-making, Improve claims adjudication accuracy, Reduce denials, Enhance payment integrity, Drive AI-informed analytics, Leverage LLMs for insights, Leverage RAG architecture for insights, Leverage generative AI tools for insights, Deliver smarter insights, Deliver faster insights", "teamCollaboration" : "Partner with Customer Success; Partner with Customer Experience; Partner with Data Engineering; Partner with senior leadership; Partner with Product; Partner with Operations; Partner with Engineering; Client conversations; Client QBRs; Client escalations", "projectManagementSkills" : [ "Roadmap planning", "Dependency management" ], "domainKnowledge" : "Healthcare data; Claims processing; Value-based care; Population health; Machine learning models; Predictive analytics", "domainList" : [ "healthcare-data", "claims-processing", "value-based-care", "population-health", "machine-learning-models", "predictive-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Claims processing", "Value-based care", "Population health", "Machine learning models", "Predictive analytics" ], "toolProficiency" : [ "Looker", "SQL", "Dbt", "Snowflake", "Databricks", "BigQuery", "Airflow", "Google Vertex", "OpenAI" ], "communicationSkills" : "Client presentations; Executive presentations", "innovationCreativity" : "AI-informed analytics; Generative AI tools", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "outcomesObjectives" : "Deliver automated, scalable reporting infrastructure; Improve claims adjudication accuracy; Reduce denials; Enhance payment integrity; Deliver smarter, faster insights at scale", "qualificationsBasic" : "10+ years in healthcare analytics, 3+ years in claims processing analytics, 3+ years leading analytics teams, Proven transformation experience, Technical fluency in modern data stack, AI / ML literacy, Client-facing experience, Startup operating experience, People leadership depth, Bachelor's degree in quantitative field", "qualificationsPreferred" : "Master's preferred, Experience with value-based care analytics, Experience with population health, Exposure to machine learning models, Familiarity with data observability tooling", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are looking for a Director of Analytics to lead our healthcare analytics function through a pivotal transformation. This is not a steady-state management role — we are modernizing our client reporting infrastructure from the ground up, and you will own that mandate from vision to delivery. You will lead a team of analysts, partner closely with Customer Success, Customer Experience, and Data Engineering, and serve as the primary analytics thought partner to our internal and external stakeholders — including direct engagement with clients. The right person brings deep healthcare data expertise, a builder's mindset, and the credibility to earn trust with both technical teams and business partners quickly. This role sits at the center of how Collective Health uses data to serve its clients. Done well, it changes how our clients experience their benefits — and how our internal teams make decisions. What you’ll do: Strategic Leadership Own the analytics strategy and roadmap — not just maintain it; build it from a clear-eyed assessment of current state and a sharp view of where the function needs to go Lead Client Reporting 2.0: audit what exists, design a modern replacement, and deliver an automated, scalable reporting infrastructure that clients trust and CS can stand behind Collaborate with senior leadership across Product, Operations, Engineering, Customer Success, and Customer Experience to align analytics initiatives with business priorities Serve as a direct partner and analytics representative in client conversations, QBRs, and escalations — alongside CS, not behind them Analytics Oversee end-to-end analysis of claims, member, and benefits data to surface trends, inefficiencies, and opportunities for cost savings or process improvement Shift the analytics function from reactive (answering requests) to proactive — surfacing insights that inform product, CS strategy, and executive decision-making before someone has to ask Lead initiatives to improve claims adjudication accuracy, reduce denials, and enhance payment integrity Drive AI-informed analytics — leveraging LLMs, RAG architecture, and generative AI tools to deliver smarter, faster insights at scale Data Management this is required, not preferred 10+ years in healthcare analytics with 3+ years in claims processing analytics and 3+ years leading analytics teams Proven transformation experience — has modernized or built an analytics function from scratch, not just managed inherited infrastructure Technical fluency in the modern data stack — Looker (or equivalent BI platform), SQL, dbt, cloud data warehouse (Snowflake, Databricks, or BigQuery), orchestration tooling (Airflow or equivalent) AI / ML literacy — working familiarity with LLMs, RAG architecture, and generative AI tools (Google Vertex, OpenAI, or equivalent); able to guide the team on applied AI use cases without needing to build models personally Client-facing experience — comfortable presenting data to non-technical external audiences, navigating client escalations, and representing analytics in high-stakes conversations Startup operating experience — has worked in a fast-moving, high-ambiguity environment; understands that speed, responsiveness, and ownership look different at a startup than at a large enterprise People leadership depth — has hired, developed, and when necessary managed out; gives direct feedback and does not let performance issues linger Bachelor's degree in a quantitative field (Statistics, Health Informatics, Computer Science, Actuarial Science, or similar); Master's preferred but not required Preferred: Experience with value-based care analytics or population health Exposure to machine learning models and predictive analytics in a healthcare setting Familiarity with data observability tooling (Monte Carlo, Great Expectations, or equivalent) Experience with master data management and data architecture at scale Key Competencies Delivery Accountability — owns a roadmap, manages dependencies, ships without needing constant oversight Strategic thinking paired with hands-on execution — knows when to lead from the front Strong communication across technical and non-technical audiences, including clients and executive leadership Healthcare domain credibility — earns trust quickly with CS, CX, and clients because they know the space Cross-functional partnership — builds relationships, influences without authority, and navigates competing priorities with grace Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week.#LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 550,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/. San Francisco, CA Pay Range $200,000—$250,000 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.", "summaryDescription" : "Director of Analytics at Collective Health. Skills: Analytics strategy, Client reporting, AI-informed analytics, Data management. Own analytics strategy and roadmap. 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Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Motorcycle ownership; RV ownership; Insurance; Driving insights; Diagnostics; Repair marketplace", "domainList" : [ "car-ownership", "home-ownership", "motorcycle-ownership", "rv-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Complex finding walkthrough; Stakeholder buy-in", "problemSolvingSkills" : "First principles thinking; Ambiguous problem breakdown; Hypothesis formulation", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment banking experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving, Data insights. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights. Define business questions. Define analytical problems", "createdAt" : "2026-06-16T00:26:56.317", "lastUpdated" : "2026-06-16T10:35:12.134", "ingestTimestamp" : "2026-06-16T00:26:56.317", "mongoId" : "6a305098f292fd229cef28f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "BizOps", "Analytics", "Data insights", "First principles thinking", "Data analysis", "Problem solving", "Car ownership", "Home ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Physical assets", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 838.08514, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cb674d8ee00a091ac93", "title" : "Associate Director R&D AI Solutions & Analytics", "company" : "Acadia Pharmaceuticals Inc.", "industry" : "Pharma", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline compensation for an Associate Director R&D AI Solutions & Analytics in Princeton, United States, adjusted for seniority, industry (Biotech), and company size." }, "location" : "Princeton, New Jersey, United States", "locations" : [ "Princeton", "New Jersey", "United States", "San Diego", "California", "United States", "South San Francisco", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T21:17:23.257", "fingerprint" : "47e7b5072724c2c221a02b3875298aa6832fa653c09c9a4b8abe981d75cf4692", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://acadia.com/en-us/careers/job-board/8575535002?gh_jid=8575535002", "externalId" : "8575535002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Princeton", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.3496953,-74.6597376" }, { "city" : "San Diego", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7174202,-117.1627720" }, { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "Princeton, New Jersey, United States; San Diego, California, United States; San Francisco, California, United States", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Business intelligence", "Analytics engineering", "Data engineering", "Data science", "Machine learning", "AI solutions" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "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, AI Solutions, Analytics, Machine Learning", "majorSkillsList" : [ "Data Science", "AI Solutions", "Analytics", "Machine Learning" ], "coreResponsibilities" : "Develop and implement advanced AI and data science, Lead data engineering initiatives, Build and maintain business intelligence dashboards, Perform quantitative analysis, Apply statistical methods and ML frameworks, Manage cloud data platforms, Develop predictive models, Ensure data quality and integrity, Collaborate with cross-functional teams, Communicate findings to stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Research and Development", "domainList" : [ "research-and-development" ], "domainSpecificKnowledge" : [ "Research and Development" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "5+ years of experience in data science or analytics, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Acadia Pharmaceuticals Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference. Please note that this position can be based in San Diego, CA, San Francisco, CA, or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average. Position Summary The Associate Director, R&D AI Solutions & Analytics will serve as a strategic and technical leader responsible for advancing AI-enabled analytics and digital innovation capabilities across Research & Development (R&D). This role will focus on leading the design, implementation, scaling, and adoption of analytics and AI-driven solutions that improve decision-making, optimize clinical development operations, and enhance portfolio insights across the organization. The individual will partner closely with R&D stakeholders, Digital/IT teams, and external vendors to deliver scalable analytics products, intelligent workflows, AI-enabled solutions, and operational insights capabilities. This role requires a highly collaborative and execution-oriented leader who thrives in fast-paced innovative environments and can balance strategic thinking with hands-on solution delivery. Primary Responsibilities Drive build and adoption of R&D analytics and AI solutions through stakeholder engagement, user feedback, and performance measurement. Support development of a high-performing innovative culture focused on experimentation, agility, collaboration, and measurable impact. Promote scalable and reusable approaches to R&D analytics delivery, AI enablement, and operational intelligence. Provide mentorship and technical guidance to junior team members, contractors, and project contributors as appropriate. Lead rapid prototyping, proof-of-concept development, and innovation initiatives aligned with enterprise R&D priorities. Collaborate with Digital/IT organizations and external vendors to support deployment and integration of enterprise AI and analytics solutions. Support implementation and scaling of AI-powered use cases including clinical operations copilots, enrollment analytics, workflow automation, and decision-support tools. Partner with R&D stakeholders to identify, prioritize, and execute high-value analytics and AI use cases aligned with business objectives. Drive development and operationalization of scalable dashboards, operational metrics, and intelligent analytics products to improve clinical and operational performance. Lead the design and scaling of insights through analytics and AI-enabled solutions supporting Clinical Development, Clinical Operations, Portfolio Strategy, and broader R&D functions. Other responsibilities as assigned. Education/Experience/Skills Bachelor’s degree in Data Science, Computer Science, Engineering, Life Sciences, Business Analytics, or a related field 8+ years of experience in analytics, AI solutions, or digital innovation within pharmaceutical, biotech, or healthcare environments Hands-on experience developing AI-driven data products, analytics solutions, and operational dashboards Experience working within regulated R&D environments including clinical development, safety, or regulatory Knowledge of industry data standards such as CDISC and FHIR Experience partnering with Digital/IT teams and external vendors to implement enterprise analytics and AI solutions Ability to manage multiple concurrent initiatives and deliver scalable analytics products aligned to business priorities Willingness to travel domestically and internationally Physical Requirements This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs. #LI-HYBRID #LI-CS1 In addition to a competitive base salary, this position is also eligible for discretionary bonus and equity awards based on factors such as individual and organizational performance. Actual amounts will vary depending on experience, performance, and location. Salary Range $156,000—$195,600 USD What we offer US-based Employees: Competitive base, bonus, new hire and ongoing equity packages Medical, dental, and vision insurance Employer-paid life, disability, business travel and EAP coverage 401(k) Plan with a fully vested company match 1:1 up to 5% Employee Stock Purchase Plan with a 2-year purchase price lock-in 15+ vacation days 13 -15 paid holidays, including office closure between December 24th and January 1st 10 days of paid sick time Paid parental leave benefit Tuition assistance EEO Statement (US-based Employees): Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in the exact way they are described in job postings. We are committed to building a diverse, equitable, inclusive, and innovative company, and we are looking for the BEST candidate for the job. That candidate may be one who comes from a less traditional background or may meet the qualifications in a different way. We strongly encourage you to apply, especially if the reason you are the best candidate isn’t exactly what we describe here. It is the policy of Acadia to provide equal employment opportunities to all employees and employment applicants without regard to considerations of race, including related to hairstyle, color, religion or religious creed, sexual orientation, gender, gender identity, gender expression, gender transition, country of origin, ancestry, citizenship, age, physical or mental disability, genetic information, legally-protected medical condition or information, marital status, domestic partner status, family care status, military caregiver status, veteran or military status (including reserve status, National Guard status, and military service or obligation), status as a victim of domestic violence, sexual assault or stalking, enrollment in a public assistance program, or any basis protected under federal, state or local law. As an equal opportunity employer, Acadia is committed to a diverse workforce. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation. Furthermore, you may request additional support if you are unable or limited in your ability to use or access Acadia’s career website due to your disability, along with any accommodations throughout the interview process. To request or inquire about your reasonable accommodation, please complete our Reasonable Accommodation Request Form or contact us at talentacquisition@acadia-pharm.com or 858-261-2923. Please note that reasonable accommodations granted throughout the recruiting process are not guaranteed to be the same accommodations given if hired. A new request will need to be submitted for any ADA accommodations after starting employment. California Applicants: Please see Additional Information for California Residents within our Privacy Policy. Canadian Applicants: Please see Additional Information for Canadian Residents within our Privacy Policy. Applicants in the European Economic Area, Switzerland, the United Kingdom, and Serbia: Please see Additional Information for Individuals in the European Economic Area, Switzerland, the United Kingdom, and Serbia within our Privacy Policy. Notice to Search Firms/Third-Party Recruitment Agencies (Recruiters): The Talent Acquisition team manages the recruitment and employment process for Acadia Pharmaceuticals Inc. (“Acadia”). Acadia does not accept resumes from recruiters or search firms without an executed search agreement in place. Resumes sent to Acadia employees in the absence of an executed search agreement will not obligate Acadia in any way with respect to the future employment of those individuals or potential remuneration to any recruiter or search firm. Candidates should never be submitted directly to our hiring managers or employees.", "summaryDescription" : "Associate Director R&D AI Solutions & Analytics at Acadia Pharmaceuticals Inc.. 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As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. 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Partnering with stakeholders; Partnering with audit team; Partnering with data analytics consultants; Work with colleagues in South Africa; Work with colleagues in Europe", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory team", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory-team" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory team" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "communicationSkills" : "Communicate technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Deliver creative solutions", "problemSolvingSkills" : "Solve analytics challenges", "qualificationsBasic" : "Data analysis from requirements gathering to deployment, Communicate technical concepts to wide audience, Data transformation and modelling, Formulate conclusions and recommendations, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Machine learning, Data engineering, Business intelligence. Apply data analytic techniques. 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"Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Risk anticipation", "level" : "intermediate" }, { "name" : "Business opportunity maximization", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Data science, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analytics", "Data science", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximize business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Use data analytics technologies, Provide clear interpretations, Use data governance processes, Use data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure accuracy of data, Develop data modelling documentation, Develop architecture documentation, Provide technical trainings on data analytics standards, Provide technical trainings on data analytics procedures, Mentor junior colleagues, Communicate with technical stakeholders, Communicate with non-technical stakeholders, Understand business needs, Define business needs, Translate business needs to data science context, Contribute to design of analytical solutions, Contribute to development of analytical solutions, Respond to risks, Continuously improve yourself, Solve clients' problems, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Audit team; Data analytics consultants; Financial Risk & Regulatory team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Creative solutions", "problemSolvingSkills" : "Analytics challenges", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Data analysis experience, Excellent communication skills", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T00:16:19.926", "lastUpdated" : "2026-06-16T10:41:53.011", "ingestTimestamp" : "2026-06-16T00:16:19.926", "mongoId" : "6a306170f292fd229cf96847", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization", "Data analytics", "Data science", "Business intelligence", "Data transformation", "Data modelling", "Analytics engineering", "Quantitative analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 815.4172, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30554df292fd229cf1ed63", "title" : "Trainee (m/w/d) Data & Portfolio Analytics - Rückversicherung", "company" : "R+V Allgemeine Versicherung AG", "industry" : "Insurance", "salary" : { "min" : 46000.0, "max" : 58000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The salary range is based on entry-level data for a Trainee in Data & Portfolio Analytics within the insurance industry in Wiesbaden, Germany, adjusted for company size and industry." }, "location" : "Wiesbaden, HE, Germany", "locations" : [ "Wiesbaden", "HE", "Germany" ], "timestamp" : "2026-06-16T09:32:35.556", "fingerprint" : "1b9542a9562b9cf1554f98bd6a2f83a5d08e15ef83f13e2055eae80b5a2f4a8a", "source" : "smartrecruiters", "language" : "de", "applyUrl" : "https://jobs.smartrecruiters.com/RVAllgemeineVersicherungenAG/744000132205721-trainee-m-w-d-data-portfolio-analytics-ruckversicherung", "externalId" : "744000132205721", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wiesbaden", "state" : "Hesse", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "50.0820384,8.2416556" } ], "locationText" : "Wiesbaden, Hesse, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Data Science, Portfolio Analytics", "professionalSkills" : [ "Quantitative Portfolioanalysen", "Handlungsempfehlungen", "Unternehmenssteuerung", "Datenbestände", "Auswertungen", "Kernaussagen", "Marktentwicklungen", "Sparten", "Risikothemen", "Chancenbewertung", "Risikobewertung", "Schutzdeckung", "Unternehmenssteuerung" ], "hardSkillsList" : [ "Quantitative Analyse", "Datenanalyse", "Risikoanalyse" ], "hardSkills" : [ { "name" : "Quantitative Analyse", "level" : "intermediate" }, { "name" : "Datenanalyse", "level" : "intermediate" }, { "name" : "Risikoanalyse", "level" : "intermediate" } ], "majorSkills" : "Data Analytics, Portfolio Analytics, Risk Management", "majorSkillsList" : [ "Data Analytics", "Portfolio Analytics", "Risk Management" ], "coreResponsibilities" : "Unterstützt quantitative Portfolioanalysen, Analysiert Fragestellungen rund um Underwriting, Analysiert Fragestellungen rund um Portfoliosteuerung, Überführt Datenbestände in Auswertungen, Recherchiert aktuelle Entwicklungen, Analysiert aktuelle Entwicklungen, Bewertet Chancen neuer Produkte, Bewertet Risiken neuer Produkte, Bereitet Ergebnisse für Fachbereiche auf, Bereitet Ergebnisse für Entscheidungsträger auf, Unterstützt Themen rund um Schutzdeckung, Führt Datenauswertungen durch, Trägt zu Unternehmenssteuerung bei", "teamCollaboration" : "Zusammenarbeit mit erfahrenen Kolleginnen; Zusammenarbeit mit Expertinnen; Zusammenarbeit im Team", "projectManagementSkills" : [ "Projektmanagement" ], "domainKnowledge" : "Rückversicherung; Nicht-Leben-Sparte; Finanzwirtschaftliches Umfeld; Aktive Rückversicherung", "domainList" : [ "ruckversicherung", "nicht-leben-sparte", "finanzwirtschaftliches-umfeld", "aktive-ruckversicherung" ], "domainSpecificKnowledge" : [ "Rückversicherung", "Nicht-Leben-Sparte", "Finanzwirtschaftliches Umfeld", "Aktive Rückversicherung" ], "communicationSkills" : "Ergebnisse aufbereiten", "continuousLearning" : "Persönlicher Entwicklungsplan; Hospitationen; Weiterbildungsmöglichkeiten; Externe Qualifizierungsmaßnahmen", "innovationCreativity" : "Agiles Arbeiten; Design Thinking", "problemSolvingSkills" : "Analytische Fähigkeiten; Lösungsorientierte Arbeitsweise", "outcomesObjectives" : "Handlungsempfehlungen mit sichtbarer Wirkung", "qualificationsBasic" : "Studium (Wirtschafts-)Mathematik, Physik, Data Science, Wirtschaftswissenschaften, Erste praktische Erfahrungen analytisch/finanzwirtschaftlich, Hohe Affinität zu Daten und Modellen, Ausgeprägte analytische Fähigkeiten, Schnelle Auffassungsgabe, Pragmatische, lösungsorientierte Arbeitsweise, Struktur und Zuverlässigkeit, Verhandlungssicheres Englisch, Fließende Deutschkenntnisse", "qualificationsPreferred" : "Starkem analytischem Fokus", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Lass uns gemeinsam neue Wege gehen! Denn genau das tun wir bei der R+V, einem der größten Versicherer Deutschlands. Willkommen bei der R+V Re, einem der führenden Rückversicherer in der Nicht-Leben-Sparte, der nicht nur in Europa, sondern weltweit eine feste Größe ist. Wir sind ein genossenschaftlich verankertes Unternehmen, das Wert auf Kooperation und langfristige Partnerschaften legt, um aktiv den globalen Markt mitzugestalten. Bei uns werden Zusammenarbeit und individuelle Entwicklung großgeschrieben! * Du unterstützt bei quantitativen Portfolioanalysen des weltweiten Rückversicherungsgeschäfts und wirkst daran mit, Handlungsempfehlungen mit sichtbarer Wirkung für die Unternehmenssteuerung abzuleiten. * Gemeinsam mit erfahrenen Kolleginnen und Kollegen analysierst du Fragestellungen rund um das Underwriting und den Portfoliosteuerungsprozess und hilfst dabei, umfangreiche Datenbestände in klar strukturierte Auswertungen und Kernaussagen zu überführen. * Du recherchierst und analysierst aktuelle Entwicklungen in Märkten, Sparten und Risikothemen. Insbesondere bewertest du dabei Chancen und Risiken neuer Produkte und Themenfelder und bereitest deine Ergebnisse strukturiert für Fachbereiche und Entscheidungsträger auf. * Du unterstützt bei Themen rund um die Schutzdeckung für die aktive Rückversicherung: Du führst Datenauswertungen zu bestehenden und geplanten Schutzdeckungen durch und trägst so zu einer effektiven, risikoadäquaten Unternehmenssteuerung bei. * Durch die enge Zusammenarbeit mit erfahrenen Expertinnen und Experten entwickelst du dich Schritt für Schritt zur Spezialistin bzw. zum Spezialisten für Data & Portfolio Analytics in der Rückversicherung weiter. ## Qualifications * Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Mathematik, Physik, Data Science, Wirtschaftswissenschaften (oder vergleichbarer Studienabschluss mit starkem analytischem Fokus); erste praktische Erfahrungen im analytischen oder finanzwirtschaftlichen Umfeld sind von Vorteil. * Hohe Affinität zu Daten und Modellen, ausgeprägte analytische Fähigkeiten und schnelle Auffassungsgabe: Du erfasst komplexe Fragestellungen zügig und bringst sie in eine klare, logisch strukturierte Form. * Pragmatische, lösungsorientierte Arbeitsweise, gepaart mit Struktur und Zuverlässigkeit – du arbeitest gerne im Team, übernimmst Verantwortung für deine Aufgaben und bringst eigene Ideen ein. * Verhandlungssicheres Englisch in Wort und Schrift; Freude an der Zusammenarbeit in einem internationalen Umfeld. * Fließende Deutschkenntnisse. Unser Angebot für Deinen Einsatz: Wir bieten Dir ein abwechslungsreiches Traineeprogramm mit Workshops zu spannenden und aktuellen Themen wie zum Beispiel agiles Arbeiten, Design Thinking und Projektmanagement. Zu unserem Traineeprogramm gehören auch ein gemeinsames Traineeprojekt sowie ein großes Traineenetzwerk aus ehemaligen und aktuellen Trainees. Ein persönlicher Entwicklungsplan sowie Hospitationen in Schnittstellenabteilungen, im Innendienst oder im Vertrieb runden das Traineejahr ab. Wir bieten: * Von Beginn an einen unbefristeten Arbeitsvertrag * Maßgeschneidertes Traineeprogramm mit Ausrichtung auf die Zielfunktion im Fachbereich * Attraktive Vergütung nach Tarifvertrag: * Bachelorabschluss: 59.724 Euro (14 Monatsgehälter) * Masterabschluss: 62.118 Euro (14 Monatsgehälter) * Umfangreiche Zusatzleistungen * Persönliche Betreuung und Entwicklung – ein Mentor steht Dir jederzeit mit Rat und Tat zur Seite * Umfassende Weiterbildungsmöglichkeiten und ausgezeichnete Perspektiven für Deine Entwicklung Erfahre mehr über das Traineeprogramm bei der R+V: [Unser Traineeprogramm (m/w/d) bei R+V – Was macht man eigentlich als Trainee?](https://www.youtube.com/watch?v=ENIKmkCGCYc) ## Additional Information Homeoffice: Flexible Arbeitszeiten im Homeoffice und Büro. Mehr Infos zu unserem hybriden Arbeiten findest Du [hier](https://www.ruv.de/karriere/blog/HomeOffice-bei-ruv). Arbeitszeiten: Standardmäßig 38h-Woche, Zeiterfassungssystem, Gleitzeit & Lebensarbeitszeitkonto. Urlaub: 30 Tage Urlaub & zusätzliche arbeitsfreie Tage (24.12. und 31.12.). Vergütung: 14 Monatsgehälter (inkl. Weihnachts- & Urlaubsgeld) oder Teilnahme am variablen Vergütungssystem, Sonderzahlungen, Mitarbeitertarife & Rabattaktionen. Gesundheit: Betriebliche Altersvorsorge & Gesundheitsmanagement mit vielfältigen Angeboten. Unser hauseigenes Fitnessstudio und ein breites Netzwerk von Sportangeboten (Wellpass) stehen Dir zudem online und bundesweit zur Verfügung. Mobilität: Jobticket, Jobrad/Fahrradleasing, verkehrsgünstige Lage mit überdachten Fahrradparkplätzen. Familie & Beruf: Eltern-Kind-Büros, Kindernotfallbetreuung, eigene Kindertagespflege „Raiffeisenzwerge“ sowie Pflegenetzwerk & Unterstützung durch die R+V-Sozialberatung. Kulinarik: Gesunde & ausgewogene Speisen in unserem Betriebsrestaurant. Weiterentwicklung: Förderung & Weiterentwicklung durch die R+V Akademie. Die Übernahme externer Qualifizierungsmaßnahmen komplettiert Deine persönliche sowie fachliche Entwicklung. Kultur: Wir leben Gemeinschaft. Unser Motto „Was einer nicht schafft, schaffen viele“ spiegelt sich auch in unseren Teams und dem täglichen Miteinander wider.", "summaryDescription" : "Trainee (m/w/d) Data & Portfolio Analytics - Rückversicherung at R+V Allgemeine Versicherung AG. Skills: Data Analytics, Portfolio Analytics, Risk Management. Unterstützt quantitative Portfolioanalysen. Analysiert Fragestellungen rund um Underwriting", "postedDate" : "2026-06-15T13:53:45.000", "createdAt" : "2026-06-15T23:43:56.405", "lastUpdated" : "2026-06-16T09:32:35.556", "ingestTimestamp" : "2026-06-15T23:43:56.405", "mongoId" : "6a30554df292fd229cf1ed63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Quantitative Analyse", "Datenanalyse", "Risikoanalyse", "Data Analytics", "Portfolio Analytics", "Risk Management", "Quantitative Portfolioanalysen", "Handlungsempfehlungen", "Unternehmenssteuerung", "Datenbestände", "Auswertungen", "Kernaussagen", "Marktentwicklungen", "Sparten", "Risikothemen", "Chancenbewertung", "Risikobewertung", "Schutzdeckung", "Projektmanagement", "Rückversicherung", "Nicht-Leben-Sparte", "Finanzwirtschaftliches Umfeld", "Aktive Rückversicherung" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 802.8265, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3b274d8ee00a09acd54", "title" : "Analyst, Corporate Risk and Insurance Analytics", "company" : "Carvana", "industry" : "Insurance", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Analyst, Corporate Risk and Insurance Analytics in Tempe, AZ, adjusted for mid-seniority and the e-commerce industry." }, "location" : "Tempe, Arizona, United States", "locations" : [ "Tempe", "Arizona", "United States" ], "timestamp" : "2026-06-16T00:40:49.972", "fingerprint" : "32161a75961885dee93a1838da407fd3aa629ed65b964ed450cceb97d9177def", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.carvana.com/careers/apply?gh_jid=8004118", "externalId" : "8004118", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tempe", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4255117,-111.9400160" } ], "locationText" : "Tempe, Arizona, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "ANALYST, CORPORATE RISK AND INSURANCE ANALYTICS About Carvana At Carvana, we sell cars, but we are not salespeople. We have made it our mission to create a hassle-free way for people to buy and sell cars. We saw a huge problem with how much of a headache it is to buy a car the traditional way, so we committed ourselves to put customer satisfaction at the core of our business. We have built a no-pressure, no-haggle online car buying experience that saves our customers time and money. Customers can search through thousands of vehicles online, see full 360-degree views of both the interior and exterior of the vehicles before deciding to go through the purchasing process. For more information on Carvana and our mission, sneak a peek at our company introduction video or learn more about what it’s like to work here from the people that already do. About the team The Corporate Risk and Insurance team’s core function includes strategic procurement of all corporate insurance policies, comprehensive claims management from the first report of an event to final settlement, and accurate financial reporting. We are a proactive team committed to minimizing the company's exposure to risk and operational continuity. The team uses a Risk Management Information System (RMIS) to manage the insurance program, claims and house its data. About the position The Analyst, Corporate Risk and Insurance Analytics is a highly visible role within our Corporate Risk and Insurance team, sitting at the intersection of risk strategy and data. You will identify emerging risk trends and opportunities through data-driven analysis, using complex datasets to deliver insights and recommendations that directly inform leadership decisions. Your primary focus will be developing and maintaining analytics related to the company’s claims, commercial insurance program, and supporting the company’s broader risk management strategy. You will report directly to the Associate Director of Corporate Risk and Insurance and work closely with department leaders, the RMIS Administrator, and other internal stakeholders to achieve company objectives. This role is in-person, Monday-Friday at our corporate headquarters in Tempe, Arizona. What you’ll be doing Serve as the primary contact for Corporate Risk and Insurance data needs, partnering with cross-functional stakeholders to understand and address analytical requirements. Develop and maintain dashboards and reports from raw data that provide actionable insights to Risk Management leadership and business partners. Manipulate and analyze data from a wide range of sources, including various internal sources and data integrations within the RMIS, to build a deep understanding of the company’s risk profile. Leverage your dashboards and analyses to serve as a subject matter expert, delivering clear, valuable insights to Risk Management Leadership. Serve as the administrator and primary data owner for the Corporate Risk and Insurance Snowflake database, managing access controls, maintaining integrity, structure and governance of the team’s sensitive data assets within Snowlfake. Perform light data engineering tasks, including data masking and unmasking of sensitive and protected datasets, and developing new schemas to support secure data sharing with cross-functional business partners. Monitor the quality and integrity of data collected and maintained by the Corporate Risk and Insurance team within the RMIS and source integrations, partnering with team leadership to plan and execute corrective actions when needed. Contribute to special projects and initiatives as the team’s capabilities continue to grow. What you should know/have Bachelor’s degree in Business Administration, Economics, Engineering, Finance, Mathematics, or similar field from an accredited institution required. General knowledge of the commercial insurance industry and commercial risk is helpful, but not required. 3+ years of experience in data, reporting, or analytics. Strong analytical skills with proficiency in Snowflake and SQL. Familiar with ETL processes and can autonomously get data from various sources and/or work with data engineering on complex data sets and integrations. Proficiency in data visualization software, such as Tableau and SSRS. Proficient in statistical measures, techniques, and data literacy best practices. Thorough knowledge of Microsoft Office Suite (Word, Excel, PowerPoint), Google Office. Demonstrated ability to work independently, manage projects end-to-end, and deliver results in a team environment. Ability to communicate effectively and work collaboratively with internal peers and external vendors. Excellent written and communication skills. Ability to exercise prudent discretion when handling confidential and sensitive information. General knowledge of the commercial insurance industry or risk management is a plus, but not required. Prior experience with risk or insurance data is a bonus and will support a faster ramp. What we’ll offer in return: Full-Time Salary Position with a competitive salary. Medical, Dental, and Vision benefits. 401K with company match. A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.. A great wellness program to keep you healthy and happy both physically and mentally. Access to opportunities to expand your skill set and share your knowledge with others across the organization. A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow. Other requirements To be able to do your job at Carvana, there are some basic requirements we want to share with you. Must be able to read, write, speak and understand English. Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. Legal stuff Hiring is contingent on passing a complete background check. This role is not eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. 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Own and evolve customer segmentation strategies, ensuring alignment with brand objectives and effective targeting across customer groups. Lead advanced analytics using secondary data to generate insights on market dynamics, customer behavior, patient journeys, and brand performance. Develop and execute predictive and prescriptive modeling approaches, including look-alike modeling and campaign effectiveness measurement. Design and maintain performance dashboards, KPIs, and launch measurement frameworks to track progress against business objectives. Partner across Forecasting, Market Research, Data Science, Medical, and Commercial teams to integrate data sources into cohesive insights and recommendations. Translate complex analytical outputs into clear, actionable recommendations that influence brand strategy and decision-making at the leadership level. Requirements: Bachelor’s or Master’s degree in Business, Economics, Statistics, Data Science, Marketing, or a related analytical field (advanced degree preferred). 8+ years of experience in brand analytics, commercial analytics, business insights, or related roles, ideally within pharmaceutical, biotech, or healthcare environments. Strong experience supporting product launches or pre-launch strategy in complex, matrixed organizations. Hands-on expertise in advanced analytics and modeling techniques such as segmentation, predictive modeling, and campaign effectiveness analysis. Advanced proficiency in SQL and Python or R, with strong capabilities in Excel and PowerPoint. Experience with data visualization and analytics tools such as Power BI, Alteryx, or Dataiku is highly preferred. Strong communication skills with the ability to influence stakeholders and present insights clearly to executive audiences. Demonstrated ability to manage multiple projects and deliver high-quality analytical outputs in fast-paced environments. Benefits: Competitive base salary aligned with experience and market benchmarks. Annual bonus eligibility and potential performance-based incentives (role-dependent). Equity opportunities and participation in employee stock purchase programs. Comprehensive medical, dental, and vision insurance coverage. 401(k) retirement plan with additional savings options (FSA/HSA). Generous paid time off and wellness-focused benefits. Learning and development opportunities in advanced analytics and leadership growth. Inclusive, mission-driven culture focused on innovation and patient impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, Brand Analytics. Skills: Brand analytics, Predictive modeling, Data visualization. Act as strategic analytics partner. 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Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinking; Break ambiguous problems; Formulate hypotheses", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years consulting experience, 2+ years investment bank experience, 2+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : false, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Data insights, Decision making. Define business questions. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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"experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Databricks, Looker, Mixpanel", "professionalSkills" : [ "Data modeling", "Product analytics", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI" ], "hardSkillsList" : [ "Data pipeline development", "Data modeling", "ETL development", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI", "SQL optimization", "Data analysis", "Statistical analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "SQL optimization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data engineering, Data modeling, Product analytics, Business intelligence", "majorSkillsList" : [ "Data engineering", "Data modeling", "Product analytics", "Business intelligence" ], "coreResponsibilities" : "Own data stack, Improve data stack reliability, Improve data stack structure, Improve data stack usability, Build data pipelines, Maintain data pipelines, Build data models, Maintain data models, Build datasets, Maintain datasets, Establish KPI definitions, Establish reporting, Partner with product, Partner with game design, Partner with UI/UX, Translate roadmap questions, Translate business questions, Define success measurement, Ensure data access, Ensure data understanding, Support cross-platform initiatives, Provide clean data, Provide unified data, Provide reporting, Deliver consistent reporting, Deliver insights, Build scalable data pipelines, Build scalable workflows, Design clean datasets, Design well-structured datasets, Own product analytics instrumentation, Own event tracking, Develop dashboards, Develop reporting, Analyze player behavior, Analyze player engagement, Analyze player monetization, Identify opportunities for growth, Support experimentation, Support A/B testing, Improve product performance, Partner with engineering, Partner with platform teams, Align data across systems, Operate as hands-on leader, Directly own data workflows, Work with dashboard resource", "teamCollaboration" : "Partner with product; Partner with game design; Partner with UI/UX; Partner with engineering; Partner with platform teams; Work with stakeholders", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Digital gaming; Player behavior; Player engagement; Monetization; Collectibles; Digital collectibles; Sports collectibles; Sports memorabilia; Sportsbook; iGaming; Trading cards; Fanatics ecosystem; Sports properties; Sports fans; Creators", "domainList" : [ "digital-gaming", "player-behavior", "player-engagement", "monetization", "collectibles", "digital-collectibles", "sports-collectibles", "sports-memorabilia", "sportsbook", "igaming", "trading-cards", "fanatics-ecosystem", "sports-properties", "sports-fans", "creators" ], "domainSpecificKnowledge" : [ "Digital gaming", "Player behavior", "Player engagement", "Monetization", "Collectibles", "Digital collectibles", "Sports collectibles", "Sports memorabilia", "Sportsbook", "iGaming", "Trading cards", "Fanatics ecosystem", "Sports properties", "Sports fans", "Creators" ], "toolProficiency" : [ "Databricks", "Looker", "Mixpanel" ], "communicationSkills" : "Explain insights; Non-technical terms", "problemSolvingSkills" : "Translate business questions; Translate roadmap questions", "qualificationsBasic" : "5+ years in data engineering, 5+ years in analytics, 5+ years in related roles, Hands-on experience building data pipelines, Hands-on experience maintaining data pipelines, Hands-on experience building data models, Hands-on experience maintaining data models, Advanced SQL skills, Experience with Python for data analysis, Experience with Python for modeling, Experience with Python for automation, Experience with R for data analysis, Experience with R for modeling, Experience with R for automation, Experience with modern data platforms, Experience with BI tools, Experience with product analytics tools, Experience working with product teams, Experience working with non-technical stakeholders", "qualificationsPreferred" : "Experience in free-to-play gaming, Experience in marketplaces, Experience in digital collectibles, Experience with identity systems, Experience with cross-platform data, Knowledge of physical card collecting, Knowledge of digital card collecting, Experience supporting reporting for external partners, Experience supporting reporting for licensors", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Role Summary We’re looking for a hands-on data leader to own and rebuild the data foundation for our digital gaming portfolio. This role will be responsible for how data is collected, stored, modeled, and used across the business—and will partner closely with product to ensure we’re making better decisions around player behavior, engagement, and monetization. This is not a pure management role. You will initially operate as a player-coach, directly owning key data workflows while laying the groundwork to scale the function over time. What You'll Do: Take ownership of the existing data stack and improve its reliability, structure, and usability Build and maintain core data pipelines, models, and datasets (hands-on) Establish clear KPI definitions and reporting used by product, leadership, and external partners Partner closely with product, game design, and UI/UX to translate roadmap questions into data and insights Act as the bridge between product and data—translating business questions into data requirements and explaining insights in clear, non-technical terms Define how we measure whether features, events, and in-game changes are successful Ensure product, marketing, and studio teams can easily access and understand the data they need Support cross-platform initiatives (e.g., Fanatics One login, webshop/backend integration) with clean, unified data and reporting Deliver consistent reporting and insights to licensors (MLB, NBA, Disney, etc.) Lay the foundation for scaling the data team over time Responsibilities Build and maintain scalable data pipelines and workflows using modern data platforms (e.g., Databricks or similar) Design and maintain clean, well-structured datasets for analytics and reporting Own product analytics instrumentation and event tracking across mobile apps Develop dashboards and reporting using BI and analytics tools (e.g., Looker, mixpanel, or similar) Analyze player behavior, engagement, and monetization to identify opportunities for growth Support experimentation and A/B testing to improve product performance Partner with engineering and platform teams to align data across systems (identity, commerce, marketplace) Operate as a hands-on leader, directly owning key data workflows Work with an existing dashboard/BI resource Required Experience 5+ years in data engineering, analytics, or related roles, ideally in mobile, gaming, or consumer apps Strong hands-on experience building and maintaining data pipelines and data models Advanced SQL skills Experience with Python and/or R for data analysis, modeling, or automation Experience with modern data platforms Experience with BI and product analytics tools Experience working closely with product teams and non-technical stakeholders Preferred Experience in free-to-play gaming, marketplaces, or digital collectibles Experience with identity systems and cross-platform data (e.g., SSO, unified user profiles) Knowledge of physical and/or digital card collecting ecosystem Experience supporting reporting for external partners or licensors Success Profile Hands-on builder who is comfortable working in the data layer directly Able to translate between technical and non-technical stakeholders Pragmatic—focuses on what’s useful vs. perfect Comfortable operating in an environment that is still being built Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ Los Angeles Salary Range $170,650—$210,000 USD The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $180,750—$230,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Director, Data & Analytics – Fanatics Collectibles (Digital Gaming) at Fanatics Collectibles. Skills: Data engineering, Data modeling, Product analytics, Business intelligence. Own data stack. Improve data stack reliability", "postedDate" : "2026-06-14T19:17:21.096", "createdAt" : "2026-06-14T19:17:21.096", "lastUpdated" : "2026-06-16T05:40:12.465", "ingestTimestamp" : "2026-06-14T19:17:21.096", "mongoId" : "6a2c798e74d8ee00a0941d6c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170650, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data modeling", "ETL development", "Data warehousing", "Data governance", "Data architecture", "Business intelligence", "Data engineering", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI", "SQL optimization", "Data analysis", "Statistical analysis", "A/B testing", "Causal inference", "Leadership", "Product analytics", "Roadmap planning", "Digital gaming", "Player behavior", "Player engagement", "Monetization", "Collectibles", "Digital collectibles", "Sports collectibles", "Sports memorabilia", "Sportsbook", "iGaming", "Trading cards", "Fanatics ecosystem", "Sports properties", "Sports fans", "Creators", "Databricks", "Looker", "Mixpanel" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 777.95624, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a29", "title" : "Senior Associate, BizOps & Analytics", "company" : "Jerry. ai", "industry" : "Data", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T12:35:58.569", "fingerprint" : "15e108313d01b6e40f567d4ff9b191646ff50bbdf4feebd9008cd1c86baac9d6", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/6b1c105a-90e3-4025-bcd3-c798f285cf97/application", "externalId" : "6b1c105a-90e3-4025-bcd3-c798f285cf97", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Data analysis", "Problem solving", "Decision making", "Execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Analytical ability" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Analytical ability", "level" : "intermediate" } ], "majorSkills" : "BizOps, Analytics, Data insights, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Data insights", "Problem solving" ], "coreResponsibilities" : "Define the right problems, Understand business questions, Inform decisions, Push back if question is flawed, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Move key metrics, Bring recommendations to counterparts, Tell them what is happening, Tell them why it is happening, Tell them what next steps should be", "teamCollaboration" : "Embedded in business units; Counterparts in product, growth, finance or operations", "domainKnowledge" : "Car ownership; Home ownership; Insurance; Repair marketplace; Physical assets", "domainList" : [ "car-ownership", "home-ownership", "insurance", "repair-marketplace", "physical-assets" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets" ], "toolProficiency" : [ "Excel", "SQL", "Python", "Jupyter Hub", "GitHub", "Clickhouse", "Metabase" ], "communicationSkills" : "Direct communication; Clear writing; Precise speaking; Persuasive communication", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "2+ years of experience at a consulting firm, investment bank, or high-growth technology company, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Associate, BizOps & Analytics at Jerry. ai. Skills: BizOps, Analytics, Data insights, Problem solving. Define the right problems. Understand business question", "createdAt" : "2026-06-16T00:27:44.020", "lastUpdated" : "2026-06-16T10:30:25.847", "ingestTimestamp" : "2026-06-16T00:27:44.020", "mongoId" : "6a305098f292fd229cef28ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data interpretation", "Metrics definition", "Report building", "Experiment design", "BizOps", "Analytics", "Data insights", "Problem solving", "First principles thinking", "Decision making", "Execution", "Car ownership", "Home ownership", "Insurance", "Repair marketplace", "Physical assets management", "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 773.63104, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a27", "title" : "Associate, BizOps & Analytics", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:43:32.070", "fingerprint" : "43a66323df1cff8f3c004c4a57897628def0355b6b8d2c85b06b9bd93253b5f7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f/application", "externalId" : "624b9e3c-7eaa-4eb7-95e0-14eb8e697d1f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Excel, SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution" ], "hardSkillsList" : [ "Data interpretation", "Data structuring", "Data pulling" ], "softSkillsList" : [ "Direct communication" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data pulling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communication" } ], "majorSkills" : "BizOps, Analytics, Problem solving", "majorSkillsList" : [ "BizOps", "Analytics", "Problem solving" ], "coreResponsibilities" : "Define business questions, Inform business decisions, Push back on flawed questions, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Explain what is happening, Explain why it is happening, Recommend next steps", "teamCollaboration" : "Embedded in business units; Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Complex finding walkthrough; Stakeholder buy-in", "problemSolvingSkills" : "First principles thinking; Ambiguous problem breakdown; Hypothesis formulation", "outcomesObjectives" : "Move key metrics; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years consulting experience, 1+ years investment bank experience, 1+ years high-growth tech experience, Analytical ability to pull data, Analytical ability to structure data, Analytical ability to interpret data, Track record of owning problems, Track record of delivering impact, Clear communicator, Persuasive communicator, Influence leadership decisions", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our BizOps & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a BizOps team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more BizOps team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The BizOps & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central BizOps & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with Excel, SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate, BizOps & Analytics at Jerry.ai. Skills: BizOps, Analytics, Problem solving. Define business questions. Inform business decisions", "createdAt" : "2026-06-16T00:28:48.425", "lastUpdated" : "2026-06-16T10:43:32.070", "ingestTimestamp" : "2026-06-16T00:28:48.425", "mongoId" : "6a305930f292fd229cf45a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data interpretation", "Data structuring", "Data pulling", "Direct communication", "BizOps", "Analytics", "Problem solving", "First principles thinking", "Analytical problem solving", "Data analysis", "Metrics definition", "Report building", "Experiment design", "Insight generation", "Decision driving", "End-to-end execution", "Car ownership", "Home ownership", "Motorcycle ownership", "RV ownership", "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "skillCount" : 26, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 772.462, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "694ae6ce70f0b99d589b27ca", "title" : "Commercial Risk Analytics Manager", "company" : "Hyundai Capital America", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Financial Services in Irvine, United States, adjusted for company size and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "
Headquarters 1 (HCA_HQ1)
3161 Michelson Dr. Ste 1900
Irvine, 92612

" ], "timestamp" : "2026-06-16T01:39:10.590", "fingerprint" : "10c905e78cca8653375e52ad1ec3175cfa27819915e0ddf7e9f52854cbedbd04", "source" : "taleo", "language" : "en", "applyUrl" : "https://hyundaicapital.taleo.net/careersection/ex/jobdetail.ftl?job=108543", "externalId" : "108543", "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", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 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 the following benefits: · Medical, Dental and Vision plans that include no-cost and low-cost plan options · Immediate 401(k) matching and vesting · Vehicle purchase and lease discounts plus monthly vehicle allowances · Paid Volunteer Time Off with company donation to a charity of your choice · Tuition reimbursement What to Expect The Commercial Risk Analytics Manager provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Responsibilities include data gathering, data analytics, reporting, model development/maintenance in support of new products, loss prevention, modeling, forecasting, origination and portfolio management. This role will provide accurate and current information in support of department and business’ policies, administration, regulatory (SOX), portfolio management and tracking, and key risk indicators. In addition, this role will investigate, collect, and analyze auto industry and economic information and data impacting credit risk, including but not limited to, information regarding economic trends forecasts, commercial real estate markets, emerging technology, competitor vehicles and sales, commercial vehicle financing and mobility areas. What You Will Do 1. Data Collection and Analysis · Gather, maintain, report, reconcile and analyze data with the most up-to-date, accurate and functionally useful information in support of department and business’ policies, administration and regulatory requirements · Build reports, dashboards and monitoring tools and early warning systems to enhance credit decision-making and information reporting to upper management and Risk Control Committee · Develop and enhance early warning, inventory analysis and risk management reports that can be leveraged by the Commercial and Sales teams to effectively manage risk in the Commercial & Mobility portfolios · Develop and maintain portfolio risk scorecards and underwriting risk models for Dealer, Commercial Vehicle and Mobility lending products and financial reporting · Develop Risk subject matter expertise in support of New Market Introductions and New Product Introductions by completing market/product research, Collaborate with Mobility team to assess and build out new markets and new products · Prepare loss estimates to support new Mobility products, including the development of probability of default and loss given default analyses · Develop and maintain monthly pre-approval lists in support of Subscription and other Commercial and new Mobility products · Support Dealer, Commercial Vehicle Finance and Mobility portfolio by developing and monitoring the scorecard performance and other key indicators. Analyze and recommend actions if indicators deviate from expected performance · Investigate and analyze auto industry, dealer and commercial vehicle financial statements, economic information and data impacting credit risk, including but not limited to economic trends forecasts, commercial real estate markets, Industry segment specific risks competitor vehicles and products and commercial vehicle financing areas · Ensure the accuracy of key credit assumptions that are inputs into the Pricing, Loss forecast, early warning, risk grading models, and develop tracking and analysis that enables periodic updates made in a systemic process to meet the needs of the business · Coordinate with the Commercial and Mobility teams to facilitate the integration of new systems, including the development of new and replacement reporting required to meet business needs. 2. Reporting · Produce reports on Allowance for Loan and Lease Losses (ALLL), IFRS9, CECL for Dealer, Commercial Vehicle Finance and Mobility portfolios · Support monthly, quarterly, ad hoc and annual OP requests from FP&A and Risk. · Develop appropriate forecasting tools and provide timely forecast projections for review and approval by Director Commercial Risk, Enterprise Risk Director and CRO. · Develop and provide reports to support ad-hoc strategic projects and deliverables · Produce periodic and ad-hoc reporting and respond to Corporate and field requests 3. Compliance and Communication · Perform verification of the CECL and IFRS9 and disclosure reports accuracy including input verifications, outcome reasonableness, and variance explanations in compliance with regulatory requirements (SOX). · Present the results to Commercial management for monthly sign-off and answer all the questions for smooth approval. · Conduct monthly meetings with Accounting, Finance, Commercial Credit, Mobility and Risk to share the results and provide clarifications. · Provide support and business rationale for external auditors with questions. · Create quarterly Memo for Commercial and Mobility portfolios including obtaining consensus from accounting and sign off from CRO and CFO 4. Project Management · Maintain project schedules, task details and coordinate efforts and deliverables with associates in department projects. · Maintain relevant support documentation for regulatory requirements. What You Will Bring · Minimum 5-7 years progressive experience in quantitative analysis within automotive captive, banking, commercial lending, equipment finance or related field. · Prior credit scorecard and statistical model development experience preferred. · Bachelor’s Degree in Business Administration, Mathematics, Economics, Operations Research, Statistics, Computer Science or related quantitative experience. · Demonstrate strong business acumen, technical skills and an ability to partner with stakeholders. · Strong PC skills; Python, SAS, SQL, Microsoft Access, Excel, Word, Power Point, VBA, Tableau. · Ability to work on multiple projects and attention to details and timeline. · Ability to explain complex data analysis. · Ability to develop statistical models (PD, LGD, Scorecards, Reserves, etc.). Work Environment Employees in this class are subject to extended periods of sitting, standing and walking, and using a computer. Work is performed in an 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 . 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"Cleveland", "Ohio", "Dallas", "Texas" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T02:10:16.821", "fingerprint" : "d3c2d49b258399bdb59ac878a2400807218350a94fc047bc9ad48a049d53f65e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/further/jobs/8540030002", "externalId" : "8540030002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Atlanta", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.7544657,-84.3898151" } ], "locationText" : "Atlanta, Georgia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, 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If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! Associate Strategy Director You'll sit at the intersection of strategy, data, and client impact, shaping the firm's growth, maturing its offerings, and leaving a measurable mark on the clients you serve. This is a leadership role in the organization, and you would not only be a senior SME on client accounts, but be responsible for teaching others how to identify opportunities for strategic growth and impact on client accounts. You will drive business growth, lead strategic client relationships, and mentor the next generation of practitioners, all while applying our Hypothesis-Driven Approach to some of the most complex data and digital challenges our clients face. You will sit in one of our office locations on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. What experience should you have: 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and optimization programs. Experience developing complex data strategies and leading cross-functional data initiatives at enterprise scale. Proven ability to lead client-facing workshops, discovery sessions, and executive presentations, including with net-new prospects. Strong change management skills and comfort navigating ambiguity at the senior client level. Demonstrated success mentoring teams and driving measurable results on multi-workstream projects. What you’ll be doing in this role: Champion and apply our Hypothesis-Driven Approach across large, complex engagements, communicating it clearly to both internal teams and senior client stakeholders. Translate client goals into measurable business outcomes; plan, delegate, and lead team execution while crafting a compelling value narrative for every engagement. Lead business development — from pitches and scoping to proposals and pricing — building trusted partnerships that extend and expand client relationships over time. Provide strategic direction and mentorship to cross-functional teams, championing the firm's vision, values, and evolving solution offerings. Own major client engagements end-to-end: influence decision-making, navigate change management, and communicate the downstream impact of new information or constraints on the client's ecosystem. Partner with Client Services and Business Development to pursue new opportunities and shape the direction of ongoing engagements Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! #LI-Hybrid Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position. By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U. S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.", "summaryDescription" : "Associate Strategy Director at Further. Skills: Data strategy, Analytics, Client engagement, Team leadership. Champion Hypothesis-Driven Approach. 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skills" } ], "majorSkills" : "Risk modeling, Statistical modeling, Predictive modeling", "majorSkillsList" : [ "Risk modeling", "Statistical modeling", "Predictive modeling" ], "coreResponsibilities" : "Develop risk models, Develop analytical frameworks, Build predictive models, Build diagnostic models, Improve risk visibility, Improve portfolio performance, Improve decision-making, Develop statistical models for credit portfolio, Create Net Present Value (NPV) models, Model financial metrics, Analyze deviations, Analyze distributions, Analyze uncertainty, Design diagnostic models, Design forecasting models, Identify risks, Monitor risks, Mitigate risks, Investigate model performance, Understand deviations from expectations, Improve decision-making processes, Contribute to quantitative methodologies, Contribute to risk frameworks", "teamCollaboration" : "Partner with stakeholders; Partner with cross-functional stakeholders", "domainKnowledge" : "Credit risk; Financial risk; Operational 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Challenges that await you: Develop and implement advanced statistical models for our credit portfolio at both per-account and aggregate levels to predict behavior and optimize performance Create sophisticated Net Present Value (NPV) models and their core components on a per-account basis for our various credit products Model critical financial metrics, including FX position, liquidity, reserves, and other balance sheet items to support robust financial management Analyze and model not only expected outcomes but also their deviations, distributions, and uncertainty, recognizing the inherently probabilistic nature of financial and risk data Design diagnostic and forecasting models that help identify, monitor, and mitigate risks across the organization Partner with cross-functional stakeholders to investigate model performance, understand deviations from expectations, and improve decision-making processes Contribute to the development of quantitative methodologies and risk frameworks across credit, financial, and operational risk domains What makes you a great fit: M. 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D. in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, Economics, or a related discipline 4+ years of hands-on experience in Data Science, Quantitative Analytics, Risk Modeling, or a similar role Strong understanding of statistical modeling, probability theory, and uncertainty quantification Experience developing predictive models and working with financial, risk, or other highly stochastic datasets Strong proficiency in Python or R and experience with statistical and analytical libraries (e.g., Pandas, NumPy, SciPy, Statsmodels, Scikit-learn) Experience with classical statistical methods, forecasting techniques, and modern machine learning approaches when appropriate Experience modeling distributions, confidence intervals, and risk metrics rather than focusing solely on point estimates Strong problem-solving skills and ability to independently drive analytical initiatives from problem definition to implementation Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders Our ways of working: Innovative Spirit: a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team of smart and ambitious people who challenge the status quo of traditional finance Our benefits: Relocation support to one of our hubs — Mexico, Cyprus, Spain, Serbia, or Georgia — with assistance for the employee and their family Work remotely from anywhere, provided you can maintain overlap with the first half of the business day in Mexico Healthcare Coverage Education Budget: language lessons, professional training, and certifications Wellness Budget: mental health and fitness activity reimbursements Vacation policy: 20 days of annual leave and paid sick leave", "summaryDescription" : "Data Scientist [Integrated Risk Management] at Plata Card. 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Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 748.05707, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 746.7368, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305107f292fd229cef8636", "title" : "Senior Consultant - Data & Analytics", "company" : "Highspring", "industry" : "Consulting", "salary" : { "min" : 76194.0, "max" : 122981.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "McLean, VA", "locations" : [ "McLean", "VA" ], "timestamp" : "2026-06-16T08:45:12.907", "fingerprint" : "48c6a72cd2c3f1a1df0dd91bf98ef6f2d6f263ec75503e10784e231524514c6b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.highspring.com/about/careers/job-details?gh_jid=8003443", "externalId" : "8003443", "industryFunction" : { }, "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Snowflake, Databricks, Redshift, Power BI, Tableau, Sigma, Codex, Claude Code, Cursor", "professionalSkills" : [ "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization" ], "hardSkillsList" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pipeline development", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Code testing", "level" : "intermediate" }, { "name" : "Code iteration", "level" : "intermediate" } ], "majorSkills" : "Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms", "majorSkillsList" : [ "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms" ], "coreResponsibilities" : "Design modern data warehouses, Build modern data warehouses, Develop scalable data pipelines, Develop reliable data pipelines, Implement analytics solutions, Implement reporting solutions, Implement visualization solutions, Translate complex data into actionable insights, Partner with client teams, Understand business objectives, Understand data challenges, Understand success metrics, Manage discrete project workstreams, Balance technical execution, Balance client communication, Balance delivery timelines, Present findings, Present recommendations, Present solution designs, Leverage AI-assisted development environments, Design analytics code, Generate analytics code, Test analytics code, Iterate analytics code, Design data engineering code, Generate data engineering code, Test data engineering code, Iterate data engineering code, Support data transformation initiatives, Support system implementations, Support migrations, Support modernization efforts, Participate in knowledge sharing, Participate in mentoring, Participate in career development", "teamCollaboration" : "Client teams; Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. Build modern data warehouses", "postedDate" : "2026-06-15T23:15:28.137", "createdAt" : "2026-06-15T23:15:28.137", "lastUpdated" : "2026-06-16T08:45:12.907", "ingestTimestamp" : "2026-06-15T23:15:28.137", "mongoId" : "6a305107f292fd229cef8636", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 76194, "salaryAnnualMax" : 122981, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "Data analysis", "Pipeline development", "Dashboard creation", "Report generation", "Code generation", "Code testing", "Code iteration", "Data Warehousing", "Data Pipelines", "Analytics Solutions", "Cloud Platforms", "Data strategy", "Data engineering", "Analytics", "Transformation", "Data modeling", "Data pipelines", "Reporting", "Visualization", "Decision-making", "Client communication", "Project management", "Technical execution", "Solution design", "Code quality", "System implementations", "Migrations", "Modernization", "Workstream 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], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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"c136058eddca72c6c6a2e9726ceef97a40027d4dc3bc55dd230df16375e336f8", "source" : "jazzhr", "language" : "en", "externalId" : "Mrz3uu09ov", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "summaryDescription" : "Group Director, Research and Analytics", "createdAt" : "2026-06-14T20:39:15.196", "lastUpdated" : "2026-06-16T05:35:40.099", "ingestTimestamp" : "2026-06-14T20:39:15.196", "mongoId" : "6a2cddd174d8ee00a0a57bb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.44444445, "_score" : 737.4584, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a2f", "title" : "Associate Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-16T12:09:58.464", "fingerprint" : "9b7049668b62246f07ccd77076acb9e8f68d6e0760298154f50cb902d1c3864d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/488c142a-7f78-44be-b358-6c2a91f4df73/application", "externalId" : "488c142a-7f78-44be-b358-6c2a91f4df73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "First principles thinking", "Analytical ability" ], "hardSkillsList" : [ "Data structuring", "Data interpretation" ], "hardSkills" : [ { "name" : "Data structuring", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations, Tell what's happening, Tell why, Tell next steps", "teamCollaboration" : "Counterparts in product; Counterparts in growth; Counterparts in finance; Counterparts in operations", "domainKnowledge" : "Car ownership; Insurance; Driving insights; Diagnostics; Repair marketplace; Home ownership; Motorcycle ownership; RV ownership", "domainList" : [ "car-ownership", "insurance", "driving-insights", "diagnostics", "repair-marketplace", "home-ownership", "motorcycle-ownership", "rv-ownership" ], "domainSpecificKnowledge" : [ "Car ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership" ], "toolProficiency" : [ "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator; Influence decisions", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "1+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define metrics. Build reports", "createdAt" : "2026-06-16T00:32:04.342", "lastUpdated" : "2026-06-16T12:09:58.464", "ingestTimestamp" : "2026-06-16T00:32:04.342", "mongoId" : "6a305930f292fd229cf45a2f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data structuring", "Data interpretation", "Data Science", "Analytics", "First principles thinking", "Analytical ability", "Car ownership", "Insurance", "Driving insights", "Diagnostics", "Repair marketplace", "Home ownership", "Motorcycle ownership", "RV ownership", "Clickhouse", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 733.96576, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660b74d8ee00a062bb77", "title" : "Director, Analytics and Decision Science", "company" : "Audible, Inc.", "industry" : "Finance Accounting, Science, subsidiaries", "salary" : { "min" : 100000.0, "max" : 236900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Newark, New Jersey, USA", "locations" : [ "Newark, New Jersey, USA" ], "timestamp" : "2026-06-15T03:08:33.431", "fingerprint" : "a7c3ae8b94b8a84b0c96a0a724805259d1556dc2c4b18884b4a7dcc9b396e6ae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "externalId" : "0cca02c1-c81a-4c57-bad0-6f556b3742b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Newark", "state" : "New Jersey", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7356570,-74.1723667" } ], "locationText" : "Newark, New Jersey, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, Tableau, Microstrategy", "professionalSkills" : [ "Decision science", "Business intelligence", "Strategic analytics", "Consulting" ], "hardSkillsList" : [ "Causal inference", "Experimental design", "Data modeling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Analytics, Decision Science, Data Products", "majorSkillsList" : [ "Analytics", "Decision Science", "Data Products" ], "coreResponsibilities" : "Drive discussion and decision, Explain insight-driven actions, Predict insight-driven actions, Scenarize insight-driven actions, Deliver technical solutions, Influence business functions, Guide business functions, Automate business functions, Increase business effectiveness, Increase business efficiency, Hold business accountable, Drive continuous improvement, Design measurement frameworks, Build measurement frameworks, Track initiative performance, Track business performance, Frame hypotheses, Frame potential decisions, Develop experimental designs, Leverage cross-functional knowledge, Design decision science initiatives, Lead decision science initiatives, Understand business economics, Identify pain points, Identify opportunities, Provide solutions, Develop in-depth knowledge, Maximize tool potential, Own accuracy of deliveries, Own relevance of deliveries, Own quality of deliveries, Own impact of deliveries, Communicate crisply, Develop compelling presentations, Develop compelling documents", "teamCollaboration" : "Cross-functional knowledge; Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders 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, NJ, Newark - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. Explain insight-driven actions", "postedDate" : "2026-06-13T08:15:57.478", "createdAt" : "2026-06-13T08:15:57.478", "lastUpdated" : "2026-06-15T03:08:33.431", "ingestTimestamp" : "2026-06-13T08:15:57.478", "mongoId" : "6a2a660b74d8ee00a062bb77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442437/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 236900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Experimental design", "Data modeling", "Leadership", "Analytics", "Decision Science", "Data Products", "Decision science", "Business intelligence", "Strategic analytics", "Consulting", "High-stake tasks", "Simultaneous projects", "Digital environment", "Tableau", "Microstrategy" ], "skillCount" : 16, "jobCategory" : "sales", "dataQualityScore" : 1.0, "_score" : 733.2618, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305930f292fd229cf45a33", "title" : "Associate Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Los Angeles, California", "locations" : [ "Los Angeles, California", "Chicago, Illinois", "Raleigh, North Carolina", "Nashville, Tennessee", "Phoenix, Arizona", "Salt Lake City, Utah", "Dallas, Texas" ], "timestamp" : "2026-06-16T10:15:43.664", "fingerprint" : "5fce045c9e55bf76a8d08df9daedc15a04f5c6403bde8105efb2fdcad8b7cdb7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/57a4e391-8914-4a8b-ab8b-8bd981e53464/application", "externalId" : "57a4e391-8914-4a8b-ab8b-8bd981e53464", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Jupyter Hub, GitHub", "professionalSkills" : [ "First principles thinking", "Analytical ability", "Problem solving" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "Experiment design" ], "softSkillsList" : [ "Direct communicator" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Experiment design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Direct communicator" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell them what's happening and why, Drive teams towards next goal", "teamCollaboration" : "Embedded in business areas; Work with product; Work with growth; Work with finance; Work with operations", "domainKnowledge" : "Car insurance; Home insurance; Motorcycle insurance; RV insurance", "domainList" : [ "car-insurance", "home-insurance", "motorcycle-insurance", "rv-insurance" ], "domainSpecificKnowledge" : [ "Car insurance", "Home insurance", "Motorcycle insurance", "RV insurance" ], "toolProficiency" : [ "SQL", "Clickhouse", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communication; Clear writing; Precise speaking", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "outcomesObjectives" : "Move team's key metrics; Drive decisions; Go from 5M to 50M customers; Become a $10B business", "qualificationsBasic" : "1+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. 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Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. Define metrics", "createdAt" : "2026-06-16T00:25:45.418", "lastUpdated" : "2026-06-16T09:15:13.668", "ingestTimestamp" : "2026-06-16T00:25:45.418", "mongoId" : "6a305098f292fd229cef28f3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Analytical ability", "Data Science", "Analytics", "Metabase", "Jupyter Hub", "GitHub" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 729.2194, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28f2", "title" : "Associate Data Scientist", "company" : "Jerry.ai", "industry" : "Data", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Boston, Massachusetts", "Atlanta, Georgia", "Denver, Colorado", "Austin, Texas", "New York, New York", "Miami, Florida" ], "timestamp" : "2026-06-16T12:12:35.130", "fingerprint" : "82419c7984565213281f8caa0cdb683f4da46c78d96f06ae845afa971275bb51", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/488c142a-7f78-44be-b358-6c2a91f4df73/application", "externalId" : "488c142a-7f78-44be-b358-6c2a91f4df73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Analytical ability" ], "hardSkillsList" : [ "Data analysis", "Data interpretation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "majorSkills" : "Data Science, Analytics", "majorSkillsList" : [ "Data Science", "Analytics" ], "coreResponsibilities" : "Define the right problems, Define metrics, Build reports, Run analyses, Design experiments, Surface data insights, Bring recommendations to counterparts, Tell them what's happening, Tell them why, Tell them what next steps should be", "teamCollaboration" : "Cross-functional teams", "toolProficiency" : [ "SQL", "Metabase", "Python", "Jupyter Hub", "GitHub" ], "communicationSkills" : "Persuasive communicator", "problemSolvingSkills" : "First principles thinker; Break ambiguous problems into clear hypotheses", "qualificationsBasic" : "1+ years of experience, Analytical ability to pull, structure, and interpret data independently, Track record of owning ambiguous problems and delivering impact, Clear, persuasive communicator who can influence decisions at the leadership level", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "rawDescription" : "Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai http://Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here - No slides: If you've worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn't exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, a critical partner relationship, etc. - No corporate fluff: The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. - Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but you’ll be embedded in one of Jerry's core business areas — growth, product, AI and automation, strategic partnerships — and own the analytical function for that business unit end-to-end. - Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Push back if the question is flawed. - Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. - Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be. Who You Are - First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong (comfortable with SQL or Python) but your instinct is to ask \"what are we trying to solve here?\" before jumping to \"what should I build?\" - Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don't bury the lede. - Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it’s outside of your swim lane. What You'll Bring - 1+ years of experience at a consulting firm, investment bank, or high-growth technology company. - Strong analytical skills; ability to pull, structure, and interpret data independently. - Track record of owning ambiguous problems and delivering impact. - Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Associate Data Scientist at Jerry.ai. Skills: Data Science, Analytics. Define the right problems. 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