Top Analytics Jobs

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Associate, Provider Data Analytics will manage cross-functional projects, analyze provider data issues, and develop solutions through collaboration with various stakeholders.

The Associate, Provider Data Analytics manages provider data issues by analyzing problems, collaborating with stakeholders, and implementing process improvements.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Perform data analysis for Wholesale Capital Markets operations: build and maintain dashboards and reports, extract and manipulate data, partner with stakeholders, present insights to leaders, ensure data accuracy and drive continuous improvement of analytics solutions.

Lead end-to-end funnel analytics and optimization for SMB lending, identifying friction and bottlenecks, designing measurement frameworks, running experiments (A/B testing), and partnering with Risk, Operations, Product, Engineering, and AI teams to deploy automation and AI solutions that improve conversion, cycle time, and customer outcomes while managing risk.

Lead Compliance Data Analytics to research and analyze risk patterns (fraud, account takeover, payment fraud), deploy and iterate rules/models, partner with stakeholders to balance user experience and risk mitigation, drive business-centric analytics and strategic metrics, and build and manage a high-performing compliance analytics team.

Analyze complex credit card portfolio data to identify trends, build statistical and machine learning models, define KPIs, and deliver actionable insights to leadership. Use cloud data tools, mentor junior analysts, develop business cases and presentations, and support hiring and performance management.

Develop and execute quantitative models and analytical methods to assess credit risk for Single Family mortgage products (modification, short sale, foreclosure, distressed valuation). Independently design, implement, and validate predictive models, support business and risk decisions, perform data cleaning and processing, and collaborate with stakeholders to provide practical, innovative solutions.

Lead end-to-end measurement, optimization, and reporting for engagement and activation programs. Design and run A/B and multivariate tests, perform funnel, cohort, and segmentation analyses, build/validate dashboards and data pipelines, ensure data quality, and translate insights into executive-facing recommendations. Partner with product, engineering, creative, and client teams to drive measurable program improvements in regulated healthcare environments.

Manage and maintain Systemwide Needs Program data systems, dashboards, and grants tracking. Analyze programmatic and financial data, collect stakeholder feedback, generate reports and narratives, support implementation and operations, coordinate stakeholders, and maintain the New Orleans Teacher Job Board.

The Data Analytics Specialist will design scalable data processing applications, analyze complex datasets, and collaborate with teams for data solutions.

Design, develop, and implement statistical and machine learning models to support decision-making and solve complex problems, leading a team or contributing as an individual.

Lead and support mixed-methods health services research projects, focusing on qualitative research design, data collection (interviews, focus groups), analysis, and reporting; assist with survey design, survey administration, data checks, IRB applications, literature reviews, and dissemination of findings.

Lead implementation and optimization of a fraud orchestration platform; perform advanced fraud analytics, develop detection models, rules and scenarios; support investigations and vendor onboarding; translate analytic insights into executive recommendations; collaborate with Fraud, Product, Technology, and Business stakeholders to reduce fraud losses and drive enterprise-wide controls.

The Manager, Credit Strategy will drive innovation in Auto Finance Analytics, managing risk, growth strategies, and leveraging data resources for profitability.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

As an Analyst, you'll execute VPP and demand response programs, optimize asset performance, and develop market strategies in energy storage.

Lead a team of data analysts to analyze complex datasets, build models and forecasts, ensure data quality, and present insights to influence business strategy and drive growth across cross-functional stakeholders.

The Senior Analytics Specialist develops processes for digital optimization and collaborates on A/B and multivariate testing through data insights.

Lead fraud detection analytics for payment card transactions: analyze large datasets with Python and SQL, implement real-time detection strategies, support anomaly detection for coordinated fraud, refine rules and models, and communicate insights to influence stakeholders and reduce risk.

The Senior Staff, Advanced Analytics will drive data strategy for the guest app, collaborating with stakeholders to improve conversion and create a multi-product experience through advanced data analysis and experimentation.

The Associate Director will manage a team, develop statistical models for marketing analytics, and cultivate client relationships to drive business results.

As a Senior Analyst, you will analyze portfolio data, optimize monitoring infrastructure, support strategic initiatives, and enhance AI strategies for operational excellence.

Support data-driven projects in pharmaceuticals, leading project teams, and providing insights through data analysis and collaboration with stakeholders.