Top Data & Analytics Jobs in Boston, MA

As an Advisor Loan Consultant, you'll analyze advisor loan programs, produce detailed reports, interpret profitability, and develop key performance indicators.

As an Analyst I on the Customer Forecasting team, you'll analyze marketing performance, support machine learning initiatives, and build dashboards for decision-making. You'll use forecasting techniques and collaborate with various teams to drive strategies and improve business visibility.

As a Privacy Specialist, you will manage data inventory operations, document data flows, and ensure compliance with privacy regulations while collaborating with internal teams.

The Technical Privacy Compliance Manager will oversee and scale DraftKings' DSR and data lifecycle programs, collaborating with various teams to implement data management solutions while ensuring compliance with privacy regulations.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

The Senior Business Analyst will collaborate with various teams to analyze data, drive product strategy, develop health KPIs, and provide actionable insights to improve member experience.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

The Principal Credit Risk Analyst will lead credit risk strategy, monitor portfolio performance, collaborate on product growth, and engage in data-driven decision-making.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

As a Principal Analytics Engineer, you'll drive the architecture and data infrastructure for the Customer Success team, transforming raw data into analytics-ready datasets, collaborating across departments, and ensuring data reliability and consistency.

The Business Analyst develops and presents Annual Recurring Revenue metrics, supports FP&A reporting, and integrates AI for financial insights.

The Senior Product Data Analyst at CarGurus will analyze complex data, present insights to leadership, and create data assets to influence product strategies and enhance user experiences.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.