Top Hybrid Data & Analytics Jobs in Boston, MA

As an Analyst II, you'll analyze data for risk detection and enhance Anti-Money Laundering defenses, collaborating with multiple teams to operationalize risk insights.

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.

The Manager of Business Analytics will develop brand measurement strategies and lead media effectiveness analysis to optimize marketing investment and drive member growth.

Join Chewy as a Data Engineer I to learn and build ingestion and transformation pipelines, write SQL/Python for data prep, apply dbt Cloud modeling, monitor data quality, assist in triage, and collaborate with analytics and data science under senior mentorship while gaining exposure to Snowflake, Kafka, AWS, Terraform, and data observability.

The Business Systems Analyst defines business and systems objectives, analyzes needs, leads projects, and ensures alignment with strategies in investment management technology.

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 Senior Partner Sales Operations Manager will manage sales pipeline and forecast, oversee compensation plans, analytics, and facilitate cross-functional collaboration to support ISV sales operations.

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