Top Data & Analytics Jobs in Boston, MA

In this co-op role, you'll analyze qualitative and quantitative consumer data, assist in research plans, translate insights into product recommendations, and collaborate cross-functionally to support product and marketing strategies.

As a Senior Analyst in Marketing Analytics, you'll improve the Refer-a-Friend program through end-to-end analysis, design experimentation strategies, and collaborate with cross-functional teams.

Design and implement large-scale analytics data structures and ingestion pipelines (real-time and batch). Build ETL/ELT processes, participate in technical decisions, review code, and document architecture and solutions for analytics users.

Lead design and implementation of Snowflake-based data architectures. Build and optimize ETL pipelines with SnowSQL and Spark, tune performance, document designs, collaborate with stakeholders, and mentor junior engineers to deliver scalable cloud data solutions on AWS or Azure.

Lead data and software QA for enterprise data platforms: define testing strategy, build automated test frameworks, validate ETL/ELT and data transformations, run data quality checks and reconciliations, test APIs and data products, analyze datasets with SQL to find defects, drive root-cause resolution, participate in Agile ceremonies, and mentor team members to improve quality practices.

Leads strategic analytics for the Healthcare Product team, mentoring analysts and collaborating with various departments to enhance user experience and drive product decisions.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

Lead the strategy and execution of real-world data capabilities, focusing on data lifecycle management, vendor relationships, and collaboration with various teams to deliver analysis-ready datasets.

As a Lead Data Engineer, you'll design and maintain data systems and pipelines using Snowflake, ensuring data quality and governance for AI applications.

Lead Data Scientist responsible for guiding projects, mentoring a team, developing data-driven solutions, and collaborating across departments to drive insights.