Top Data & Analytics Jobs in Boston, MA

The Security Solution Consultant at ServiceNow leads customer engagements by providing expertise in Security Operations, contributing to sales campaigns, and developing innovative solutions to enhance customer security architecture.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

Support client engagements applying optimization, operations research, and AI-enabled analytics to logistics, transportation, warehousing, and distribution. Build models (LP/IP, network flow, heuristics, simulation), analyze messy data, design AI-enabled decision systems, produce client-ready deliverables, and collaborate with stakeholders to implement recommendations.

The Sr. Analytics Engineer will design and maintain analytics data for marketing insights, transforming raw data into usable datasets while collaborating with teams to ensure data integrity and scalability.

As a Senior Data Engineer, you will enhance data products, build automated data pipelines, and improve data platform capabilities, collaborating with various teams to drive initiatives.

Design, build, and maintain scalable ETL/ELT pipelines using Python, Spark, Databricks, Airflow and SSIS. Integrate and cleanse diverse healthcare datasets, implement Unity Catalog for metadata and governance, optimize Spark performance and JVM tuning, support Medallion architecture, and collaborate with cross-functional teams to automate CI/CD, observability, and data quality processes.

The Director of FP&A will lead budgeting, forecasting, and financial analysis, collaborating with teams to support data-driven decision-making and improve financial outcomes.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

Ensure customer data accuracy and reliability by validating backend systems, querying and analyzing healthcare datasets, troubleshooting ingestion and orchestration failures, monitoring workflows, supporting customer technical discussions, documenting investigations, and collaborating across teams to deliver scalable data quality solutions.