Top Data & Analytics Jobs in Boston, MA

Lead design and implement secure, scalable data ingestion, curation, and semantic/ontology layers. Build production-quality code and pipelines (Databricks/Cloud), apply agentic AI frameworks, produce architecture artifacts, guide teams, and promote engineering best practices and CI/CD.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

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.

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.

Design and maintain analytics frameworks, data architectures, and pipelines using SQL and cloud platforms. Build scalable dashboards and reports, support experiment design and analysis, validate data quality, automate reporting, and document technical designs. Collaborate cross-functionally to deliver data products and insights that measure digital asset impact and support business decisions.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.

Provide analytics and reporting for Own Brands Category Development: design and maintain Power BI dashboards, analyze product and portfolio performance, produce actionable insights for assortment and business decisions, and support leadership with periodic results and recommendations.

Lead data steward for Personal Lines Product, Pricing, and Underwriting domains. Define and maintain a data roadmap, translate plans into actionable epics, govern data policy and classification, and coordinate stakeholders to modernize systems (streaming, data vault, warehousing) and enable a unified insurance platform. Advise Agile squads and collaborate with technical teams to implement durable, compliant data solutions.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

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.

Build and productize externally consumable data assets from concept to delivery. Define schema, governance, SLAs, documentation, and delivery (Snowflake share, SFTP, API). Partner cross-functionally to productionalize datasets, monitor quality, iterate on customer feedback, and create repeatable productization frameworks.