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Top Data & Analytics Jobs in Boston, MA

4 Hours AgoSaved
In-Office
2 Locations
120K-160K Annually
Senior level
120K-160K Annually
Senior level
Fintech
Lead analytics for wealth management by analyzing complex datasets, delivering data‑driven recommendations and visualizations, advising senior leaders, evaluating profitability, and ensuring data governance and compliance.
Top Skills: Sql,Python,Tableau,Powerpoint,Salesforce,Crm Analytics
4 Hours AgoSaved
In-Office or Remote
2 Locations
91K-136K Annually
Senior level
91K-136K Annually
Senior level
Fintech
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.
Top Skills: Sql,Sas,Microsoft Excel,Microsoft Powerpoint,Microsoft Office
4 Hours AgoSaved
In-Office or Remote
2 Locations
190K-220K Annually
Senior level
190K-220K Annually
Senior level
Fintech
Lead a team of data scientists to develop, validate, and operationalize marketing mix and multi-touch attribution models. Build econometric and time-series models, derive incremental marketing impact and KPIs, implement non-linear constrained optimization for scenario planning, automate model pipelines, and communicate insights to marketing stakeholders.
Top Skills: Bayesian MethodsGamsPyoptPythonSQLTime-Series Modeling
4 Hours AgoSaved
In-Office or Remote
2 Locations
Senior level
Senior level
Fintech
Lead mortgage default and servicing analytics: monitor portfolio performance, design risk-based segmentation and treatment strategies, collaborate with Collections/Loss Mitigation/Investors, create reports and presentations, and implement improvements to reduce losses and cycle times.
Top Skills: Sas,Enterprise Guide,Sql,Alteryx,Dbeaver,Tableau,Excel,Powerpoint
4 Hours AgoSaved
In-Office or Remote
2 Locations
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Fintech
Lead data management and analytics initiatives for Private Banking: define data strategy, ensure data quality, integrate PB and Wealth data, enable dashboards and predictive models, mentor junior staff, and collaborate with AI and engineering teams to deliver personalized client insights.
Top Skills: Agentic AiAi/MlPower BIPythonRSQLTableau
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