Top Senior Data & Analytics Jobs in Boston, MA

Lead and develop an analytics team supporting Casino Revenue Operations. Drive measurement, monitoring, and optimization of casino performance through deep-dive analyses, scalable alerting frameworks, stakeholder recommendations, and an analytics roadmap aligned to business impact.

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 Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

The Business Analytics Manager will partner with Lifecycle Marketing to enhance member communications, drive engagement, and inform strategic decisions using data analysis and insights.

The Solutions Engineer, Data role involves developing data solutions aligned with business goals, improving data quality, and leading technology strategies while collaborating with various teams.

This role involves leading data architecture strategies, collaborating with stakeholders, and implementing advanced data technologies to drive business growth at PwC.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

The Senior Data Analyst will analyze healthcare data, create insights for clients, develop dashboards, and collaborate across teams to improve healthcare delivery.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.