Top Hybrid Data & Analytics Jobs in Boston, MA

Owns the architecture and implementation of Absentia Labs’ biomedical data platform. Designs schema-driven models, scalable batch and streaming pipelines, and cloud-native infrastructure supporting machine learning workflows. Establishes data quality, validation, provenance, lineage, and versioning practices while partnering with scientists, ML engineers, and product leads. Provides architectural leadership, mentorship, and guidance on performance, cost, scalability, and correctness.

Build and lead enterprise data capabilities for a global biotechnology company. Design data architecture, pipelines, APIs, integrations, governance, master data management, analytics, and AI foundations across commercial, R&D, technical operations, quality, and corporate functions. Lead a high-performing team, deliver self-service reporting, partner with technology and business stakeholders, manage vendors, and ensure data security, quality, privacy, and regulatory compliance.

Leads an analytics team that integrates partner and business data to identify growth, retention, profitability, and performance drivers. Develops forecasts, business cases, measurement frameworks, visualizations, and executive recommendations. Partners with senior stakeholders across insurance, finance, pricing, product, digital, operations, and technology. Drives AI and automation adoption while mentoring analysts and leading complex cross-functional initiatives.

Develops data and investment applications for a cloud-based analytics platform. Translates business requirements into technical solutions, prototypes, integrations, tests, reports, and system designs. Onboards and validates structured and unstructured datasets, investigates data exceptions, and collaborates with investment teams, engineers, vendors, QA, and IT. Creates project documentation and supports automated testing using SQL and Python, with a focus on private-market investment decision-making.

Analyze financial services and consumer datasets using statistical methods, quantitative models, and SQL to generate investment insights. Serve as a client-facing subject matter expert, support data trials, explain data methodologies, develop research materials, and collaborate with Product, Data Science, Technology, Commercial, and Client Success teams to improve data products and client adoption.

Lead the architecture and development of UKG’s Unified FinOps Data Platform. Build scalable cloud-native data products and pipelines for cloud billing, usage, cost allocation, forecasting, optimization, reporting, and unit economics across AWS and GCP. Establish governance, data quality, lineage, observability, CI/CD, and infrastructure-as-code standards. Support AI-enabled forecasting and optimization, collaborate with Finance and Engineering stakeholders, mentor engineers, and drive adoption of self-service reporting.

Supports client implementations by designing and troubleshooting data integrations across clients, vendors, banks, and health plans. Uses SQL, APIs, ETL frameworks, relational models, and data validation practices to maintain integrity and compliance. Leads automation, client conversion, integration, and process-improvement projects; coordinates agile delivery phases, requirements, documentation, and deployment. Provides technical consulting, mentors analysts and associates, and partners with architects, product owners, engineers, and client operations teams.

Analyze POS, loyalty, panel, and syndicated data to identify consumer and category insights. Develop assortment, item performance, and store-clustering recommendations that support sales, market share, and category growth. Partner with clients and business leaders on data-driven strategies, translate findings into business opportunities, and present performance reviews. Collaborate with sales, category management, and analytics teams on strategic planning.

Analyze POS, loyalty, panel, and syndicated data to uncover consumer and category insights. Develop assortment, item performance, store clustering, and growth strategies; translate findings into recommendations that improve sales, market share, and category growth. Present business performance reviews and collaborate with sales, category management, analytics teams, clients, and business leaders to support strategic planning.

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.