Top Remote Data & Analytics Jobs in Boston, MA

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

The Business Systems Analyst will enhance financial systems by gathering requirements, supporting tool improvements, and ensuring accurate data flow for reporting, requiring collaboration across Finance and Operations teams.

Analyze transaction data to define risk strategies for Embedded Finance, develop analytical models, mentor analysts, and present insights to leadership.

Lead decision analysis processes to support executives in making informed go-to-market decisions, leveraging data and strategic insights to drive outcomes.

Manage and grow the affiliate marketing program by sourcing partners, analyzing data, optimizing strategies, and supporting marketing campaigns.

The Senior Catastrophe Analyst will develop automated processes, databases, pricing tools, and provide analytics to improve portfolio profitability while mentoring junior team members.

As a Senior Data Analyst, you'll automate data transformation, create visualizations, and enhance data quality while collaborating across teams to improve decision-making.

Drive data self-service, support GTM leadership with analytics, create impactful dashboards, and ensure data integrity and reporting.

The Analytics Lead will analyze products, develop strategies based on quantitative data, collaborate with cross-functional teams, and design A/B tests to enhance user experience and drive product growth.

The role involves providing strategic and analytic support for Affirm's Marketplace business through financial modeling, performance analysis, and collaboration with cross-functional teams.

The Analyst II, Full Stack will analyze complex data to optimize credit offerings, leverage machine learning, and collaborate with teams to enhance financial strategies. Requires a PhD and 1 year experience in relevant fields.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.