Top Data & Analytics Jobs

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

Develops and supports Creatio CRM, Power BI, and Cognos analytics solutions; creates data models, dashboards, reports, workflows, and governed self-service analytics. Translates business requirements into secure reporting solutions, performs SQL-based analysis, manages data quality and governance, supports testing and deployments, troubleshoots users’ issues, and delivers training and documentation. Partners with stakeholders across technology, risk, compliance, finance, and operations to improve decision-making and business performance.

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.

Own pharmaceutical media performance reporting, analyze marketing data, develop dashboards, identify optimization opportunities, and present actionable insights to clients. Support attribution, test and control analyses, predictive modeling, AI-enhanced reporting, and process improvements. Collaborate with strategy, analytics, media, client services, data science, and technology teams to advance reporting capabilities and data-driven decision-making.