Top Data & Analytics Jobs in Boston, MA

The Senior Pricing and Packaging Analyst will analyze data to inform pricing strategies, develop recommendations, and work collaboratively across teams to implement these strategies.

Perform exploratory analysis across web, dealer, and sales data to evaluate revenue strategies. Translate business needs into analytic solutions, build data transformations, reports, and dashboards with SQL/Python/R, communicate insights to stakeholders, partner with cross-functional teams to recommend improvements, and mentor junior analysts.

Act as the bridge between business goals and technical systems by gathering stakeholder requirements, writing user stories with acceptance criteria, designing data and system diagrams, specifying analytics and data warehouse solutions, collaborating with engineers and product managers to implement and test solutions, coordinating UAT and defect tracking, and creating documentation and training materials to improve operational efficiency.

Design and build scalable data infrastructure and pipelines using Azure Data Factory and Databricks. Implement data integration, transformation, modeling, and optimization. Validate data quality and security, collaborate with teams and clients, and contribute to client projects while developing technical skills and personal brand.

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.

As a Senior Data Engineer, you will manage data integration, optimize performance, mentor junior engineers, and collaborate with product teams on innovative solutions in healthcare data modeling.

The Manager of Ontology and Data Modeling develops and maintains enterprise ontologies, collaborates with teams across Capital One, and advocates for semantic technology integration in products and services.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Lead redesign of the Customer Success unified data model and AI data strategy. Build and optimize pipelines, integrations (contact center), testing/monitoring, and a documented semantic layer. Manage and mentor a small team, partner cross-functionally on KPIs, governance, and data quality, and ensure CS data is reliable for dashboards, reporting, and AI use cases.

The role involves developing statistical models and analyses to address client business issues, guiding decision-making with data insights and mentoring associates.

As an Advisor Loan Consultant, you'll analyze advisor loan programs, produce detailed reports, interpret profitability, and develop key performance indicators.

Lead data science projects to optimize drug development using AI. Develop models for patient selection and clinical trial evaluations while collaborating with cross-functional teams to drive insights.