Top Remote Senior Level Data Analysis Jobs in Boston, MA

Lead pricing analytics for merchant/platform deals and international market expansion. Define pricing strategy, run economic analyses, design and test pricing constructs, and collaborate with product, partnerships, credit, finance, capital markets, and engineering to optimize portfolio performance.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

Lead quantitative analyses to assess customer remediation, restitution, and financial impacts. Develop analytical frameworks, analyze large datasets, build dashboards, validate methodologies, and translate findings into executive-ready narratives to inform strategic decisions. Partner with cross-functional stakeholders and manage multiple projects in a hybrid, fast-paced environment.

Drive enterprise automation by identifying workflow inefficiencies across Home Health, Primary Care, and Pharmacy. Use data analysis, process and journey mapping, and MDM to define opportunities and leading indicators. Partner with product, engineering, clinical, compliance, and operations to design, validate, and scale AI-enabled automation solutions that improve outcomes and efficiency while ensuring regulatory compliance.