Top Senior Level Data & Analytics Jobs in Boston, MA

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

Act as the bridge between business goals and technical systems by gathering stakeholder requirements, writing user stories with acceptance criteria, designing data and system diagrams, specifying analytics and data warehouse solutions, collaborating with engineers and product managers to implement and test solutions, coordinating UAT and defect tracking, and creating documentation and training materials to improve operational efficiency.

Lead design and delivery of data infrastructure, pipelines, and scalable architectures (Snowflake, Azure Data Factory). Oversee data quality, security, and deployment, collaborate cross-functionally, and coach teams to solve complex data challenges and validate client outcomes.

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.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.

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.

Responsible for architecting the sales data ecosystem, ensuring data integrity, governance, and providing real-time insights for forecasting and revenue decision-making.

The Analytics & Insights Consultant provides advanced analytical insights to operational leaders, translating data into actionable insights that guide decision-making. Responsibilities include delivering analytical outcomes, supporting complex initiatives, mentoring peers, and communicating implications clearly to stakeholders.

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.

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.