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

Build scalable cloud data infrastructure and pipelines to transform transactional and financial data into reporting-ready datasets. Ensure accuracy, traceability, governance, and observability; partner with cross-functional teams, mentor engineers, and leverage AI-assisted tools to improve engineering productivity and enable AI-powered applications.

Lead and mentor a data engineering team to design, build, test, and support cloud-based, real-time data platforms and distributed microservices using modern big data, streaming, and data warehousing technologies to deliver scalable customer and enterprise experiences.

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

Lead commercial analytics to diagnose sell-through, pricing, promotions, assortment, and retailer execution. Build causal and incrementality measurement, design test-and-learn, support elasticity and margin analyses, and deliver executive-ready insights and frameworks to optimize revenue, margin, and promotional efficiency across channels and retailers.

Lead design and delivery of customer-facing dashboards and custom analytics, partner with stakeholders to quantify Flywire's product value, and collaborate with product and engineering to build secure, scalable reporting and data solutions.

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

The Senior Relativity Archiving Analyst will vet, archive, and purge Relativity workspaces and file shares, collaborating with management and documenting the approval process for archived data.

Lead underwriting performance analysis by developing metrics, reports, and dashboards. Translate financial, capacity, and operational data into insights, identify performance drivers and class/segment issues, and present recommendations to stakeholders to improve underwriting results.

Perform category analytics and insights to support sales and CPG category management using retailer POS and syndicated data (Circana/IRI/NielsenIQ). Drive assortment planning, store clustering, presentations, and recommendations; partner with clients, Space Technology, and CPG teams to influence action and ensure quality deliverables.

Support sales and CPG category management through multi-source data analysis (retailer POS, NielsenIQ/Circana). Produce insights, presentations, and recommendations for assortment, item performance, and store clustering. Collaborate with clients, Category Management, and Space Technology teams to drive action and deliver quality results.