Top Hybrid Data & Analytics Jobs in Boston, MA

Leads digital analytics strategy across web, media, CRM, and marketing channels. Develops dashboards, reports, KPIs, forecasts, and actionable insights to improve digital performance, customer engagement, and business growth. Ensures data accuracy, communicates findings to stakeholders, identifies trends and opportunities, and supports analytics training. Requires collaboration across teams and familiarity with digital marketing, e-commerce or lead generation, and analytics platforms.

Supports client-facing portal data, reporting, dashboards, and visualizations. Translates business needs into requirements, mappings, user stories, and acceptance criteria; validates Power BI and Snowflake data; performs reconciliation and root-cause analysis; supports production incidents, releases, testing, and documentation; and coordinates offshore support partners across time zones.

Analyzes business requirements and defines functional specifications for small to moderate projects. Translates requirements into functional designs, test plans, documentation, and user materials. Coordinates with IT to resolve issues and improve business processes. Supports application testing through traceability analysis, test preparation, script writing, and functional test execution. May guide less experienced colleagues.

Designs, builds, and optimizes enterprise Databricks Lakehouse pipelines and data products using Spark, Delta Lake, SQL, and Python. Leads complex data initiatives, production support, governance, CI/CD, workflow orchestration, monitoring, and modernization of legacy SQL Server solutions. Partners with stakeholders, optimizes performance and cost, mentors engineers, and drives engineering standards across Azure data platforms.

Business Analyst partners with stakeholders and developers to analyze requirements, improve business processes, and implement IT system solutions. Responsibilities include functional documentation, data flows, end-to-end testing, User Acceptance Testing, application support, access issue resolution, reporting and visualizations, user training, and project participation. The role requires SDLC experience, business analysis or software implementation experience, strong communication, project management, and familiarity with Agile and waterfall methodologies.

Build and maintain large-scale data pipelines and analytics platforms for EDA datacenter observability, telemetry, reliability analysis, and capacity forecasting. Develop batch and streaming workflows, data models, quality frameworks, monitoring, and retention strategies using metrics, logs, traces, and hardware health data. Partner with observability engineers, data scientists, analysts, and infrastructure teams to deliver scalable, reliable, discoverable datasets for analytical and predictive use cases.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.

Leads the Journey Intelligence Team’s analytical strategy, manages analysts, develops customer measurement frameworks and segmentation, conducts exploratory and experimental analysis, and translates customer behavior insights into strategic initiatives that improve engagement and the end-to-end customer experience.

Lead and mentor a product analytics team that diagnoses product performance, evaluates launches, defines trusted KPIs, and drives strategic decisions. Oversee rigorous experimentation, causal inference, cohort analysis, metric governance, and telemetry standards. Partner with Product, Engineering, Marketing, Growth, Design, and Finance leaders to translate analysis into recommendations. Promote AI-native workflows using tools such as Claude Code while ensuring analytical quality, code validation, and clear executive communication.

Leads commercial data governance strategy, operating models, policies, standards, ownership, stewardship, metadata, lineage, and data-quality programs. Partners with cross-functional stakeholders to improve data integrity, accessibility, privacy, compliance, and responsible use. Oversees governance councils, catalogs, glossaries, issue remediation, performance metrics, tool adoption, training, and change management across a regulated biotechnology commercial organization.