Top Data & Analytics Jobs in Boston, MA

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.

The Staff Analytics Engineer leads business intelligence initiatives, develops a governed semantic layer, and advocates for a data-driven culture while leveraging AI tools for analytics.

The Analytics Engineer will build and optimize data transformation models, assist with BI tools, support stakeholders, document processes, and implement AI tools, contributing to a data platform under mentorship.

Design, build, and maintain enterprise ETL/ELT pipelines and data management workflows for market, reference, and financial data in the Markit EDM platform. Implement ingestion, validation, reconciliation, enrichment, monitoring, and distribution processes; support reporting and downstream integrations. Troubleshoot production data issues, collaborate with stakeholders in agile squads, and mentor junior engineers to promote best practices.

The Principal SAP PaPM Configuration Engineer analyzes and configures use cases, supports production users, and mentors team members to enhance SAP PaPM systems within the finance environment.

The Senior Pricing and Packaging Analyst will analyze data to inform pricing strategies, develop recommendations, and work collaboratively across teams to implement these strategies.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

Lead the transformation of People Analytics into a strategic, predictive, AI-enabled function. Define vision, operating model, and roadmap; build and lead a high-performing team; drive adoption of analytics and AI; partner with senior leaders on talent and organizational decisions; modernize analytics products, data foundations, and governance.

Lead redesign of the Customer Success unified data model and AI data strategy. Build and optimize pipelines, integrations (contact center), testing/monitoring, and a documented semantic layer. Manage and mentor a small team, partner cross-functionally on KPIs, governance, and data quality, and ensure CS data is reliable for dashboards, reporting, and AI use cases.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

Lead a team to design and operate scalable Databricks/lakehouse platforms, ETL/ELT pipelines, data models, BI dashboards, and productionized ML. Ensure data quality, governance, and deliver actionable analytics and KPIs to drive business decisions while mentoring engineers, scientists, and analysts.

Partner with Lifecycle Marketing to analyze member communications, design and evaluate A/B tests, build dashboards, develop data models linking messaging to engagement and retention, and present actionable insights to improve lifecycle strategy.