Top Data & Analytics Jobs

Design and deploy ML and NLP models (including LLM evaluation) to predict borrower risk and property valuations, advise business teams, mentor junior analysts, and foster data-driven experimentation.

Analyzes customer support, CX, survey, and operational data to produce reports, identify trends and gaps, and inform continuous-improvement roadmaps. Elicits and documents requirements, user stories, acceptance criteria, process maps, and alternatives analyses for IT and automation initiatives. Maintains CX roadmap and gap-analysis artifacts, prepares governance briefings, supports KPI reviews and UAT, and collaborates with technical, business, and government stakeholders.

Leads risk and fraud analytics covering loss attribution, fraud investigations, recovery strategy, loss forecasting, merchant collateral sizing, and return-rate monitoring. Produces monthly loss reporting and merchant scorecards, evaluates proposed risk rule impacts, forecasts portfolio losses, explains variance, and presents recommendations to risk, finance, commercial, and compliance stakeholders. Manages analysts and guides data-driven decisions across payments risk portfolios.

Develop and optimize large-scale data systems, ETL pipelines, storage, entity-resolution products, and data automation infrastructure. Build and integrate ingestion and processing pipelines using AWS, Airflow, Spark, PySpark, and EMR. Create testing and monitoring components, develop analytical tools, support data governance and quality, collaborate with data science teams, and document technical solutions.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements for cost efficiency, reliability, access control, observability, orchestration, CI/CD, and developer experience. Drive complex cross-team initiatives, resolve production issues, influence architectural decisions, mentor engineers, and build automation incorporating AI into data engineering workflows.

Develop and maintain Goodwill’s business intelligence environment, including dashboards, reports, data integrations, workflows, data quality controls, and automated reporting. Partner with organizational leaders to define metrics, support workforce development and retail analytics, migrate reporting solutions, document data systems, train users, and apply security and privacy standards. The role also evaluates emerging analytics and AI tools and translates business needs into sustainable technical solutions.

Analytics Intern will analyze high-volume data, build experiments and automated dashboards, measure product and campaign impact, and communicate actionable insights to stakeholders. The role partners cross-functionally to support data-driven product and customer decisions during a 10-week summer program.

Designs and implements secure, scalable data infrastructure for intelligence weapons systems. Responsibilities include translating requirements into data models and pipelines, integrating multiple data sources, monitoring and optimizing workflows, documenting data processes, and supporting data architecture. The role requires advanced SQL, Python, data modeling, pipeline operations, and collaboration with government customers and cross-functional teams.

Analyzes Amazon and retailer.com performance to identify e-commerce growth opportunities, improve profitability, assortment, availability, and digital shelf execution. Builds reporting and forecasts, integrates marketplace, financial, inventory, and consumer data, evaluates promotions and retail media, and provides executive-ready recommendations. Partners cross-functionally with Sales, Merchandising, Marketing, Planning, Inventory, Finance, Operations, and Data teams to establish KPIs, improve forecasting, and drive online growth.

Leads market research projects for global FMCG clients, from research design and questionnaire development through fieldwork, quantitative and qualitative data analysis, reporting, and final presentations. The role involves client liaison, project management, international research coordination, and translating data into actionable insights. Experience in ad-hoc agency research, quantitative methods, report writing, storytelling with data, and strong organization and communication skills is required.