Top Senior Data & Analytics Jobs in Boston, MA

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

The MDM PIM Manager at PwC oversees Product Information Management solutions, ensuring data quality, mentoring teams, and driving innovation in product data practices.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

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 Product Management for G&A functions, shaping strategy, coordinating execution, and establishing practices within Finance, HR, and IT sectors. Engage stakeholders, ensure data quality and governance, and manage team growth while directly overseeing product delivery.

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.

Lead Data Scientist responsible for guiding projects, mentoring a team, developing data-driven solutions, and collaborating across departments to drive insights.

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

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.