Data Analyst

• Own the development and maintenance of compliance dashboards, recurring regulatory reports, and analytical views in BI tools such as Tableau or Metabase or similar tools to support regulatory, operational, and compliance risk monitoring needs.
• Write and debug SQL queries to extract, validate, aggregate, and transform compliance-related data across systems for ad hoc analysis, reporting, and monitoring.
• Conduct deep-dive analyses on compliance trends, transactional patterns, and user behavior across cards and payments to identify anomalies, control gaps, operational blockers, and emerging risks.
• Support regulatory reporting and compliance monitoring initiatives by ensuring data accuracy, completeness, and consistency across source systems.
• Build and refine segmentation, cohort, and trend analyses to help Compliance and business teams better understand customer behavior, risk patterns, and control effectiveness.
• Analyze transactional patterns and user behavior across cards and payments to improve operational tooling, to help inform and scale operational processes like onboarding and transactional monitoring, and enable growth by identifying and removing blockers in the customer journey.
• Work in a continuous feedback loop with Data Product Managers and Data Engineers to refine analytical logic, improve data quality, and evolve reporting and data models.
• Communicate findings clearly to technical and non-technical stakeholders, including Compliance, onboarding Operations, Product, and leadership teams.
• Contribute to process improvements and automation opportunities that strengthen self-serve analytics and scalable reporting.
• Analyze onboarding funnels and client risk profiles, transactional patterns, and user behavior across cards and payments to identify friction points, reduce drop-offs, and improve both customer onboarding and operational efficiency.

Senior Compliance Business Data Analyst

• Translate questions into insight. Partner and embed with cross-functional teams to turn ambiguous business and operational questions into clear, useful analytical outputs. You will quickly assimilate subject matter expertise across brokerage operations, ledger systems, and compliance.
• Build and own analytics data models. Write clean, maintainable SQL against PostgreSQL, Trino, and Apache Iceberg to power core financial metrics, dashboards, and analytical workflows.
• Build and iterate on metrics and tables. Build and iterate on metrics and tables using dbt, surfacing them through dashboards in Metabase to help teams understand transaction volumes, revenue streams, and system performance over time.
• Explore data deeply to answer open-ended questions. Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to investigate trends, anomalies, complex profit and loss (P&L) calculations, and trading behaviors, connecting analyses back to real business questions.
• Help operationalize data. Identify structural opportunities for standardizing core business entities, proactively transitioning ad-hoc analytical requests into intuitive, user-friendly self-serve environments.
• Assist with reporting capabilities and streamline report automation, including servicing requests in a timely manner, cataloguing recurring reports, and driving conversations around standardization and productization of data reports.

• Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA
• Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed
• Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes
• Partner with subject matter experts to deliver quality, actionable findings
• Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership
• Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions
• Advocate for and help implement best practices in data management and analytics to drive continuous improvement
• Effectively communicate with team members while working remotely
• Perform additional duties as assigned

Senior Healthcare Data Analyst

• Embed yourself in assigned business function to deeply understand their priorities, challenges, and opportunities
• Proactively identify analytical opportunities before stakeholders ask—hunt for insights that drive action
• Design and lead experiments, A/B tests, and pilots with clear success metrics and measurement frameworks
• Deliver insights with clear recommendations and next steps, not just data summaries
• Build dashboards, reports, and analytical frameworks that enable ongoing business monitoring
• Conduct deep-dive analyses on business performance, customer behavior, and operational efficiency
• Develop forecasting and predictive models to support strategic planning and resource allocation
• Synthesize complex data into compelling narratives that drive stakeholder action
• Train business partners on self-service analytics tools and metrics definitions
• Create documentation and resources that enable stakeholders to answer basic questions independently
• Serve as the data expert for your business area, ensuring consistent interpretation of metric

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Senior Compliance Business Data Analyst

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Senior Healthcare Data Analyst

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