Top Remote Senior Level Data Analysis Jobs in Boston, MA

The Solutions Consultant will analyze deal economics and performance metrics, educate partners about Upstart products, and collaborate with multiple teams to drive partner adoption and strategic decisions.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

The Workforce Planning Partner is responsible for delivering data-driven workforce solutions, managing headcount processes, and building analytical tools for strategic workforce planning.

Lead product analytics, experimentation, and dashboarding to measure feature impact and improve retention. Design rigorous A/B tests (including pricing), build Looker/Hex dashboards, automate reporting, and partner with cross-functional teams to drive data-informed product decisions.

Lead development and monitoring of debit-card fraud strategies, tools, and controls. Analyze data, build fraud rules, partner with vendors and product teams, report losses and trends, and drive reductions in fraud through data-driven solutions and compliance with risk policies.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

The Sr. Data Analyst will deliver actionable insights to stakeholders, develop predictive models, and support data-driven growth by analyzing diverse datasets.

The Credit Bureau Business Analyst will manage bureau execution and analysis, support product onboarding and compliance controls, and drive data quality improvements through data analysis and cross-functional collaboration.

The Senior Analyst, AML Know Your Customer will manage the KYC periodic review process, ensure compliance, analyze customer data, and collaborate with internal teams while monitoring industry trends.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.