Top Data & Analytics Jobs in Boston, MA

Builds and optimizes data pipelines and streaming applications (Kafka/Databricks), performs data mapping, modeling, profiling, lineage and testing, supports data governance, and provides operational support for 24/7 retail systems.

This co-op position involves developing data products, design and testing of data pipelines, and delivering insights from complex datasets for business decisions.

This co-op position involves developing data products and solving complex data problems using cloud technologies, SQL, and programming languages while gaining mentorship and business exposure.

Design and execute biostatistical components for clinical development from first-in-human through Phase 4. Collaborate with clinicians and scientists on study design, analysis, reporting, and regulatory-compliant statistical activities. Prepare reports, presentations, manuscripts, and contribute to methodology research and team strategy.

The Digital Experience Analyst will enhance online shopping experiences via analytics, user research, and cross-functional collaboration, driving actionable insights for conversion optimization.

The Senior Data Engineer will develop data governance frameworks, ensure data quality, manage tools for metadata and lineage, and collaborate with teams for data policies and training.

The Senior Insights Manager for Commercial Intelligence drives market insights to inform strategies in marketing, pricing, and product development, collaborating across teams to leverage data for growth opportunities and risks.

As an Analyst II, you'll design A/B tests, partner with teams for data-driven promotional decisions, and create datasets for analysis to improve customer offers.

The Senior Data Analyst will analyze consumer engagement and growth metrics, build dashboards, and provide actionable insights to drive marketing and product strategies.

As an Applied Researcher I, you will collaborate with a diverse team to develop AI-powered products, engage in applied research, and utilize various AI technologies to enhance customer experiences.

Design, develop, test, and deploy cloud-based data pipelines and warehousing solutions (Snowflake, AWS). Build ETL/API integrations (Guidewire), apply Data Vault methodology, ensure data quality, mentor junior engineers, and collaborate in agile squads to deliver analytics and reporting solutions.

Design, build, and maintain scalable ETL/ELT pipelines using Python, Spark, Databricks, Airflow and SSIS. Integrate and cleanse diverse healthcare datasets, implement Unity Catalog for metadata and governance, optimize Spark performance and JVM tuning, support Medallion architecture, and collaborate with cross-functional teams to automate CI/CD, observability, and data quality processes.