Top Data & Analytics Jobs in Boston, MA

Support Commercial and Supply Chain with analytics and reporting: design and automate reports, build dashboards, perform complex correlation and predictive analyses, ensure data integrity across stakeholders, lead requirements and data flow design, and present actionable insights to leadership.

Own end-to-end data pipelines and production-grade dbt models (Snowflake) for Sales and Product analytics. Build governed data marts, dimensional models, and reverse ETL workflows. Improve data quality, testing, monitoring, and documentation. Partner with GTM, Product, and BI stakeholders, mentor peers, and contribute to platform tooling (Airflow, Terraform, AWS) to enable reliable, scalable analytics.

Lead analytical monitoring and strategic analysis for homeowners insurance, translate findings into executive recommendations, present to senior leadership, partner across the business to drive profitable growth, and mentor junior team members.

Design, build, and maintain scalable cloud-based data pipelines and models (AWS, Snowflake). Implement ETL/ELT, data quality, automated tests, monitoring, and troubleshooting. Collaborate with product owners, data scientists, and engineers to translate business requirements into reliable data solutions and document data flows and technical specifications.

Provide advanced analytical support to Enterprise Procurement by synthesizing large datasets, developing dashboards, and delivering insights to influence procurement strategy. Lead project workstreams, present recommendations to stakeholders, maintain reporting infrastructure, collaborate with data providers and business partners, and mentor teammates. Evaluate tools, processes, and apply AI/GenAI and automation to drive expense-saving opportunities and operational efficiency.

Lead data validation and risk analytics initiatives for clients, applying advanced analytics, data manipulation, visualization, and predictive modeling. Set strategic direction, oversee multiple projects, cultivate executive client relationships, mentor teams, and drive business development while ensuring data integrity and security.

Lead architecture and delivery of enterprise Product Information Management (PIM) solutions. Manage product data lifecycle, ensure data quality and integration, drive client engagements and business development, mentor team members, and improve processes to meet organizational objectives and deliver high-quality outputs.

Lead design and implementation of enterprise Product Information Management (PIM) solutions, ensure product data quality and integration, drive business development and client engagement, mentor team members, improve processes and productivity, and align product data management with organizational objectives.

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

Lead analytics for operations by defining metrics, building reliable data assets, and uncovering inefficiencies across the order lifecycle to reduce cost and improve member experience. Partner with Operations, Membership Services, and Finance, drive cost-reduction initiatives, support S&OP and OKR reviews, collaborate with Data Engineering on pipelines, and manage and mentor a team of analysts.

Partner with Platform Engineering to measure business impact of platform/security changes, design experiments, analyze sign-in/purchase funnels, perform cost and infrastructure analytics, build dashboards, and provide strategic analytical partnership to balance security and member experience.

The Senior Business Analyst will partner with performance marketers to analyze campaign performance, optimize media investment, and derive actionable insights from complex data to inform growth strategies.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

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.

As a Lead Data Engineer, you will collaborate with Agile teams, develop technical solutions, and enhance cloud-based data warehousing to empower financial services for customers.