Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

The Senior Revenue Operations Analyst will support go-to-market teams with insights and reporting, optimize processes, and analyze revenue trends to drive operational efficiency and revenue growth.

The role leads Clinical Data & Information Sciences in drug development, ensuring data integrity, compliance, and continuous improvement while collaborating with cross-functional teams to enhance business processes and experience.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

The Senior Product Data Analyst at CarGurus will analyze complex data, present insights to leadership, and create data assets to influence product strategies and enhance user experiences.

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 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.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Manage the data architecture and strategic planning for the Sales team, optimizing processes through data and AI for targeting accounts and pricing strategies.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

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.