Top Data & Analytics Jobs in Boston, MA

As a Lead Data Engineer, you will collaborate with Agile teams, develop technical solutions, and enhance cloud-based data warehousing to empower financial services for customers.

Lead customer analytics engagements using data manipulation, visualization, statistical and predictive modeling. Build and maintain data pipelines, deploy scalable Power BI/Tableau solutions, manage and mentor teams, collaborate with client leadership to identify opportunities, and drive technology-enabled, data-driven decisions.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

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.

Assist in developing and executing consumer research to uncover needs and trends, translating insights into strategic product recommendations while managing projects and mentoring team members.

The Applied AI & Analytics Associate will conduct high-impact analytical work across functions, utilizing AI and data to drive business decisions and improvements, while collaborating with senior stakeholders and building analytical tools and models.

The Principal Data Analyst will manage paid media analytics and operations, ensuring data quality, compliance, and actionable insights while collaborating with media buyers to improve performance and ROI.

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

The Allocation Analyst supports the Wholesale Planning function by executing allocation strategies, analyzing inventory data, collaborating with cross-functional teams, and recommending adjustments to maximize sales and minimize excess inventory.

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.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science 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 Data Scientist responsible for guiding projects, mentoring a team, developing data-driven solutions, and collaborating across departments to drive insights.

Design, build, and operate automated ETL/ELT pipelines and administer the data platform (Snowflake, AWS, dbt, Fivetran). Ensure data quality, CI/CD, cost governance, RBAC and row-level security, provide operational support and participate in on-call rotations as needed.