Top Data & Analytics Jobs in Boston, MA

The Senior Healthcare Analyst will perform advanced data analysis to improve cost-saving initiatives in the prior authorization process, design financial models, prepare reports, and collaborate with cross-functional teams to optimize resources and compliance.

The Business Intelligence Engineer will collaborate with stakeholders to understand reporting needs, enhance reporting tools, ensure data quality, and perform data analysis to support business decisions, while staying up-to-date with BI technologies. The role focuses on healthcare data analytics and requires advanced knowledge of medical data analyses.

The Variant Scientist will classify somatic and germline variants using liquid biopsy, panel tests, and whole exome NGS sequencing. Responsibilities include analyzing clinical data, interpreting scientific literature, generating clinical reports, performing quality control for molecular reports, and curating genetic information. They will also support assay improvements and may train junior team members.

As a Senior Associate in Strategy & Operations, you will develop strategies for the Loyalty & Experiences team, analyze data to provide insights for decision making, and manage daily operations to enhance productivity. You'll work cross-functionally to align projects with company objectives and help the VIP sales team succeed through data-driven approaches.

As an Analyst I in the Central Insights team, you'll collect marketing data, build reports and dashboards, and utilize forecasting techniques to aid decision-making. You'll work cross-functionally to analyze marketing KPIs, provide insights on performance and customer behavior, and support data processes for various teams.

The Merchandise Planning Analyst will analyze historical performance data to optimize merchandising strategies, support financial analysis, track KPIs, and enhance operational processes. Responsibilities include organizing workload, fostering collaboration, and communicating effectively across teams to meet business objectives.

The Staff Data Science Tech Lead will design, develop, and implement machine learning algorithms to analyze human behavior and physiology, working with a team of data scientists and collaborating with product teams and clinical researchers. Responsibilities include managing projects, conducting research, mentoring junior staff, and maintaining production services.

As a Data Science Co-op at Jellyfish, you will develop algorithms, contribute to blog posts, learn to create machine learning models, and perform analyses to enhance client understanding of their development processes. This role combines hands-on programming and collaborative teamwork within a dynamic environment.

As the Health Plan Analytics and Insights Manager, you will lead client relationships, develop new business prospects, and manage delivery on projects related to health plan management consulting. You will motivate teams, provide feedback, and stay updated on industry trends to drive client impact and organizational success.