Top Hybrid Data Analysis Jobs

The Actuarial Analyst will perform data analysis and modeling to support pricing, reserving, forecasting, and strategic decision-making, collaborating closely with multiple teams to deliver accurate insights and reports.

Leads a multidisciplinary team of marketing analysts and researchers, combining marketing analytics, market research, advanced analytics, and performance insights. Oversees data infrastructure, SQL development, pipelines, APIs, ELT/ETL tools, Snowflake, and Tableau dashboards. Guides predictive modeling, segmentation, research methodology, AI experimentation, data governance, and client presentations. Develops team capabilities, workflows, and standards while translating complex data into actionable marketing and business recommendations.

Own marketing measurement models for multiple customers, partnering with strategy managers from kickoff through model release, interpretation, enablement, and action planning. Configure and QA model inputs and outputs, manage escalations, deliver deep-dive analyses and scenario work, and support renewals and account growth. Build scalable playbooks, documentation, and AI-assisted workflows while translating complex measurement results into actionable budgeting and campaign decisions. Provide customer feedback to product, science, and engineering teams and support pre-sales and case studies.

The Applied Scientist will build pricing algorithms, design auction mechanisms, develop models for worker relationships and construct experiment frameworks for the organization. The role involves direct collaboration with engineers and analysis of marketplace trends and metrics.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.

Gather, clean, and transform data; build dashboards, reports, and visualizations; perform statistical analysis; develop enterprise data models; ensure data quality; support business users with self-service analytics; maintain data education resources; and translate findings into actionable recommendations.

Supports business reporting, analytics, data quality, automation, and emerging AI initiatives in Microsoft Fabric. Responsibilities include maintaining Power BI dashboards, validating data and report outputs, organizing Fabric assets, documenting metrics and business rules, reconciling reports, assisting with Power Automate and AI pilot projects, and answering business questions using Excel, SQL, Power BI, and Fabric datasets. The intern collaborates with business and technical teams across finance, operations, supply chain, and project management.

The Quantitative Researcher will manage yield opportunities, design algorithms, perform risk analysis, and collaborate with engineers on DeFi strategies.

Senior Analyst provides systems guidance, analyzes and enhances business applications, prepares project documentation and test plans, trains partners, troubleshoots issues, and contributes to system design and prototyping. Works with stakeholders to define automation needs and deliver higher-quality work with minimal revisions.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.