Data Analyst

• Serve as a key analytics partner to Revenue Cycle, Finance, and Operations leaders by delivering reporting and insights that support decision-making
• Analyze financial, operational, and revenue cycle data to identify trends, risks, and opportunities for improvement
• Develop reporting and analyses that help improve reimbursement outcomes, operational performance, and financial results
• Build, maintain, and enhance dashboards, reports, and data visualizations for business stakeholders
• Translate business needs into technical reporting solutions and actionable analytics deliverables
• Monitor key financial and operational metrics and provide recommendations based on findings
• Respond to ad hoc analytical requests with timely, relevant, and practical insights
• Collaborate with Finance, Revenue Cycle, IT, and operational teams on analytics and reporting initiatives
• Support process improvement, automation, system testing, and implementation efforts tied to reporting and data management

Revenue Analytics Specialist II

• Monitor client performance against defined success metrics and surface trends, risks, and opportunities
• Present findings to clients and lead analytics input for QBRs, EBRs, and executive updates
• Translate complex data into bespoke, actionable narratives tailored to client brand objectives
• Build visual stories for Client Services, Sales, and external clients
• Direct strategic initiatives, analyses, and client relationships requiring judgment and analytical skill
• Scope and lead complex, ambiguous analyses with cross-functional stakeholders
• Balance hands-on analytical execution with executive-level representation
• Partner with Client Services, Sales, Product, and Operations
• Communicate progress, findings, and recommendations
• Represent the Data & Analytics team in cross-functional discussions and client meetings
• Optimize workflows and drive continuous improvement
• Support renewals, expansion, client engagement, and business development through data-driven insights
• Produce presentations and insight summaries for senior stakeholders
• Manage and coach analysts, providing direction, feedback, and career development
• Review analyst work for logic, methodology, and communication framing
• Balance competing priorities and keep delivery on schedule
• Set and reinforce standards for methodology, visualization, accuracy, and client-ready storytelling

Senior Director, Commercial Data, Analytics

• Oversee entire project workstreams and ensure rigorous quality control across all deliverables
• Manage and mentor project teams, providing guidance on analysis and fostering professional development
• Lead client presentations and manage interactions with lawyers, regulators, and C-suite audiences
• Master "data storytelling" by translating complex financial and technical findings into persuasive narratives
• Support Practice Leaders in strategic growth initiatives and the development of new service offerings
• Build out a practice in expanding offices and influence the team's culture and capabilities
• Work on diverse, challenging projects with significant business and legal impact

Director, Forensic Data & Analytics – Risk Advisory

• Analyze repayment performance of the Experian portfolio
• Evaluate underwriting and credit limit changes
• Model cohort LTV and unit economics
• Analyze the funnel from account creation through first advance
• Own the Experian analytics layer, including dbt models, data definitions, reporting, and data quality monitoring
• Own delinquency and non-payback reporting, including vintage curves, delinquency roll rates, gross and net loss, and recoveries
• Evaluate underwriting model and credit limit strategy changes end to end
• Analyze the collections lifecycle and recommend repayment improvements
• Build and refine alerting for anomalies, incidents, and emerging risk trends
• Maintain and extend the partner-level LTV model by monthly cohort
• Partner with the Experian Product Manager and Tech Lead to shape the roadmap and measure shipped decisions
• Work with Partnerships on bidirectional data sharing and quarterly business reviews
• Partner with Finance on portfolio tracking, revenue coverage, projections, partnership commitments, and quarterly business reviews

Senior Data Analyst, Partnerships

• Review suspicious activity, fraud alerts, and complex fraud cases to identify emerging risks, trends, and vulnerabilities
• Analyze large datasets to build, optimize, and maintain fraud detection rules, models, and workflows
• Conduct root cause analyses to investigate client issues and develop solutions
• Deliver analyses and recommendations through presentations, reports, and client consultations
• Advise clients on implementing and optimizing ThreatMetrix Digital Identity Network, Digital Device Profiling, and other LexisNexis Risk Solutions products
• Partner with clients to improve fraud mitigation strategies while balancing customer experience and operational objectives
• Perform proof-of-concept analyses and demonstrate business value through data-driven insights
• Collaborate with fraud managers, risk analysts, developers, project managers, and customer stakeholders
• Build and maintain client relationships as a trusted consultant and subject matter expert
• Develop reports, dashboards, and analytical deliverables using SQL, Excel, Python, R, and other analytics tools
• Research emerging fraud techniques, cybersecurity trends, and financial crime risks
• Support internal teams with product feedback, solution enhancements, and client-related insights

Fraud Data Analyst

• Review suspicious activity, fraud alerts, and complex fraud cases to identify emerging risks, trends, and vulnerabilities
• Analyze large datasets to build, optimize, and maintain fraud detection rules, models, and workflows
• Conduct root cause analyses to investigate client issues and develop effective solutions
• Deliver analyses and recommendations through presentations, reports, and client consultations
• Advise clients on implementing and optimizing ThreatMetrix Digital Identity Network, Digital Device Profiling, and other LexisNexis Risk Solutions products
• Partner with clients to improve fraud mitigation strategies while balancing customer experience and operational objectives
• Perform proof-of-concept analyses and demonstrate measurable business value
• Collaborate with fraud managers, risk analysts, developers, project managers, and customer stakeholders
• Build and maintain client relationships as a trusted consultant and subject matter expert
• Develop reports, dashboards, and analytical deliverables using SQL, Excel, Python, R, and other analytics tools
• Research emerging fraud techniques, cybersecurity trends, and financial crime risks
• Support internal teams with product feedback, solution enhancements, and client-related insights

• Establish measurement frameworks that help orient the company toward business and marketing success.
• Own measurement and reporting across client accounts and campaigns.
• Pull, organize and analyze data from social platforms, creator programs, audience intelligence and listening tools.
• Build and maintain reports, dashboards and recurring performance analyses.
• Monitor campaign, social and content performance and identify trends, anomalies, performance gaps and emerging opportunities.
• Collaborate with broader teams to create insight into the work and marketing challenges.
• Turn analysis into clear takeaways and recommendations for internal teams and clients.
• Use social listening, sentiment and audience intelligence to understand cultural conversations, audience behavior, affinities and competitive overlap.
• Analyze creator and creator-program performance and surface learnings for content, partnerships and future work.
• Partner with Strategy and Creative to connect insights to briefs, ideas, testing, optimization, amplification and future decisions.
• Present analyses, findings and recommendations in client conversations.
• Maintain accuracy and consistency across data sources, reporting and deliverables.
• Stay curious about new platforms, tools and approaches.
• Use Tubular, Meltwater, GWI and native social analytics platforms or comparable tools to conduct analysis and uncover insights.

• Create, maintain, troubleshoot, and implement automated and ad-hoc solutions for reporting and analytical needs
• Work cross-functionally to support the Inventory Team, Account Managers, Sales, Finance, and other stakeholders
• Develop and maintain complex Excel spreadsheets using advanced formulas and functions
• Maintain and enhance the Python codebase for reporting, automation, and data workflows
• Manage and maintain Business Intelligence tools, including Tableau
• Troubleshoot and resolve reporting errors and data discrepancies within the client-facing DOMO Dashboard
• Automate custom stakeholder reports using Python
• Develop additional reports and analyses on an ad-hoc basis
• Develop and maintain documentation and SOPs for data processes, knowledge sharing, and operational continuity

• Develop the strategy to bring on new and grow existing partner relationships using available data sources and capabilities
• Work closely with external vendors and internal marketing and analytics teams to uncover opportunities for growth, deepen partner relationships, and increase customer engagement across the credit card product portfolio
• Work on big data and analytics projects that gather and integrate large volumes of data
• Perform analyses and develop predictive models and/or segmentation trees
• Interpret data and analyze results using statistical techniques and tools
• Work with partners to create a secure data environment based on multiple data sources
• Build use cases from internal and external data sources to identify life events
• Evaluate new tools, data, and measurement techniques to assess strategy effectiveness
• Collaborate with cross-functional teams to enable data-driven product management and customer and partner engagement
• Deliver insights and actionable recommendations based on results, benchmarks, patterns, and context
• Lead efforts to build, develop, and maintain dashboards and performance metrics supporting key business decisions

Data Analytics Manager – Credit Card Analytics

• Lead analytics, measurement, and intelligence programs that help clients understand performance, uncover opportunities, and demonstrate business impact
• Partner with clients and internal teams to understand business objectives, develop measurement strategies, define KPIs, and establish performance evaluation frameworks
• Lead monthly, quarterly, and ad hoc reporting initiatives
• Transform qualitative and quantitative data into actionable insights and recommendations
• Guide analytics discovery conversations and present findings to technical, non-technical, executive, and C-suite audiences
• Continuously improve reporting methodologies, measurement approaches, and analytics capabilities
• Support new business opportunities through analytics-driven audits, research projects, measurement planning, and data analysis
• Build relationships with clients, vendors, and internal stakeholders to deliver integrated analytics solutions
• Manage analytics projects from initiation through delivery
• Mentor junior team members and advance analytical best practices

Data Analyst jobs in New York

Revenue Analytics Specialist II

Senior Director, Commercial Data, Analytics

Director, Forensic Data & Analytics – Risk Advisory

Senior Data Analyst, Partnerships

Fraud Data Analyst

Fraud Data Analyst

Data Analyst

Data Analyst

Data Analytics Manager – Credit Card Analytics

Manager, Analytics