Top Hybrid Data & Analytics Jobs in Boston, MA

Lead digital measurement strategy for web and digital marketing. Build and maintain dashboards, integrate multi-platform data, perform tagging QA, run A/B test analyses, and deliver insights to optimize campaign effectiveness, UX, and ROAS.

Assist in developing and maintaining data pipelines and models, conduct data wrangling, and support dashboard creation. Ideal for university students eager to learn.

The Senior Partner Sales Operations Manager will manage sales pipeline and forecast, oversee compensation plans, analytics, and facilitate cross-functional collaboration to support ISV sales operations.

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 Bioinformatics Manager will lead drug discovery projects, build client relationships, and mentor junior team members while delivering innovative solutions.

Responsible for scientific oversight and quality of late-stage oncology clinical trials, partnering with colleagues to ensure successful execution, protocol authoring, and data analysis.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Join Chewy as a Data Engineer I to learn and build ingestion and transformation pipelines, write SQL/Python for data prep, apply dbt Cloud modeling, monitor data quality, assist in triage, and collaborate with analytics and data science under senior mentorship while gaining exposure to Snowflake, Kafka, AWS, Terraform, and data observability.

Build and own end-to-end sales data pipelines and curated marts in Snowflake/dbt; implement monitoring, tests, and governance; run reverse-ETL to operational systems; partner with Sales, Ops, Finance, and People to deliver production-ready analytics products.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.