Top Hybrid Data & Analytics Jobs in Boston, MA

Analyze marketplace performance data across availability, pricing, content quality, advertising, competitors, and categories. Integrate third-party APIs into APEX, structure and validate datasets, test agent outputs, translate commercial questions into actionable data, and maintain reporting. The role includes participation in agile sprints, collaboration with engineering, sales, marketing, and regional teams, and presenting findings to stakeholders.

Supports Fund Management through regulatory communications, cost allocation, operational reporting, and analytics. Develops and maintains Access, Excel, SQL, and enterprise reporting solutions; integrates data across systems; improves data quality and workflows; and supports testing, validation, deployment, automation, and AI-enabled process enhancements. The role also serves as a technical subject matter expert and coordinates regulatory reporting while driving efficiency and cost savings.

Designs and develops scalable, reusable data solutions, production pipelines, reporting dashboards, and proof-of-concepts for business stakeholders. The role includes data engineering, infrastructure optimization, data quality testing, metadata and lineage management, compliance, security, and Gen AI applications. Responsibilities also include evaluating tools, mentoring junior team members, prioritizing customer-focused solutions, and collaborating with technical and non-technical stakeholders.

Own and evolve governance standards for a data marketplace, including asset eligibility, certification tiers, ownership models, documentation, access requirements, and compliance reviews. Partner with domain, security, and product teams to address data issues, resolve escalated governance exceptions, and inform marketplace strategy, roadmap updates, and success metrics. This individual contributor role also supports broader data foundations and modernization governance activities.

Analyzes large-scale datasets to generate strategic insights, design and evaluate experiments, identify trends, and improve business performance. Builds scalable reporting frameworks and dashboards, translates complex analyses into compelling narratives, and partners with cross-functional teams to support strategic initiatives and data-driven decisions across casino products and markets.

Design and build data validation, integration, and transformation solutions to support ERP implementations and risk/regulatory clients. Develop data pipelines and infrastructure, manage data validation processes, ensure data lineage and quality, manipulate large datasets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake, and collaborate with clients to deliver scalable, governed data solutions.

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

Define and lead enterprise data governance: create standards, operating model, and AI-ready data practices. Partner with data product managers, platform engineering, security, legal and privacy to enable self-service, metadata, lineage, quality, access controls, and compliance while building governance councils and driving adoption.

As a Business Technology Solutions Associate Consultant, you'll develop and implement tech solutions, lead project teams, mentor junior members, and manage project delivery in the life sciences sector.

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.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.