Top Data & Analytics Jobs in Boston, MA

The Performance Management Analyst translates complex data into actionable insights, supporting strategic growth through data analysis and visualization for various teams.

As a Product Analyst, you will analyze product metrics, conduct A/B testing, develop predictive models, ensure data integrity, and effectively communicate insights to stakeholders.

The Associate Conversion Data Analyst will extract, analyze, and map client data from legacy databases to Bloomerang databases, while translating technical requests and providing documentation for data conversions.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

Manage leased partner network data integration into I-Network, ensure data quality and delivery for client claims systems and regulatory filing, support SFTP access, create requirements and QA sign-off for projects, produce analytical insights, mentor team members, and assist Business Development/National Accounts and project management.

As a Business Analyst - Sales Operations, you will bridge B2B, Inside Sales, and IT, translating business needs into solutions and managing technical enhancements for sales processes.

As a Search Quality Rater, evaluate the quality of search results for relevance and usefulness to users' queries, complete straightforward online tasks, and provide feedback to improve AI technology.

The Data Engineer will build and maintain data infrastructure, design data pipelines, and develop reusable frameworks, leveraging technologies like Azure Databricks and PySpark for data processing and transformation.

The Data Analyst will manage SaaS implementation, solve client issues, conduct analyses, and train clients on using the Merchant Central platform.

Lead design and implementation of complex cloud-based data solutions on AWS. Define strategic roadmaps, advise pre-sales, interview and mentor architects/engineers, and oversee data standards, governance, and operational practices.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.