Top Data & Analytics Jobs in Boston, MA

The Data Engineer will design and maintain scalable data infrastructure and pipelines, ensuring data quality and security on Azure, while collaborating with client teams.

Lead clinical data review for studies, ensuring the interpretation of efficacy and safety data, and collaborating with cross-functional teams.

The ClinSpark System Project Manager will develop and manage ClinSpark initiatives, ensure compliance, support continuous improvement, and assist in training staff.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.

The Senior Business Intelligence Analyst will architect critical analytical frameworks, provide insights for decision-making, and mentor junior analysts while collaborating across teams.

The Revenue Integrity Analyst performs analysis and reporting on revenue cycle, resolves system issues, ensures compliance, and collaborates with leadership for problem resolution and training.

The Analyst will oversee claims audits, ensure compliance with insurer requirements, and analyze loss data to reduce exposure for the company.

The Senior Analyst oversees QC and audits of loss analysis files, ensures compliance with regulations, manages workloads, and assists in technology updates, while serving as a liaison with external clients and internal teams.

As a Senior Data Engineer, you will implement and optimize Google Analytics systems for accurate user behavior measurement across platforms, ensuring scalability and data accuracy.

The Business Intelligence and Analytics Manager is responsible for developing and improving the reporting environment using Microsoft Power BI, ensuring alignment with business needs, and providing insights for decision making.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Director of Product Analytics will manage a team to set analytics agendas, assess product success, and enhance business reporting using data-driven strategies.