Data Analyst

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Collaborate with team members and stakeholders to define key business metrics and gather requirements for which insights should be made available at scale
• Architect data pipelines, design, and build new dashboards for stakeholders to address their needs
• Maintain and improve existing data infrastructure and dashboards based on evolving business requirements
• Publish and maintain clear documentation to inform and educate users at scale, gather feedback to identify opportunities for improvement
• Identify ways to streamline and improve the efficiency of our data
• Implement changes to our infrastructure (optimize SQL queries and data workflows) to improve the landing time of our data
• Work with cross-functional teams including to identify data needs and gaps and align on solutions
• Lead projects end to end, see around corners, and provide thought partnership to your team
• Demonstrate full contractual understanding of client and departmental requirements to ensure analytics deliverables align with contractual obligations, service-level expectations, and business outcomes
• Partner with leadership to identify data-driven improvements, surface risks or issues, and support solution-based initiatives and transformational projects
• Act as a trusted analytics advisor to leadership, providing insights, recommendations, and proactive guidance based on data trends and performance metrics
• Support operational and strategic decision-making through clear communication of complex data concepts to both technical and non-technical audiences.

Data Analytics and Reporting Subject Matter Expert

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Perform deep-dive analyses across diverse data sources to identify trends, patterns, and opportunities.
• Write and optimize custom SQL queries to extract, transform, and analyze data.
• Use advanced Excel techniques (pivot tables, formulas, data modeling) to explore and visualize findings.
• Create user-friendly Tableau reporting to illuminate critical business insights, analysis, and recommendations for senior stakeholders.
• Proactively identify gaps, anomalies, and emerging patterns that may impact business performance.
• Partner with cross-functional teams to support strategic and operational decision-making.

• Sourcing, transforming, validating, and analyzing data to support performance reporting, operational analytics, and regulatory needs
• Extracting data from core systems, including claims, enrollment, provider, utilization management, call center, and financial systems
• Developing and maintaining SQL queries, views, and data models to support reporting and analytics needs
• Performing data transformations, joins, and aggregations to create analysis-ready datasets
• Supporting data ingestion and integration across multiple source systems
• Performing data validation, reconciliation, and quality checks to ensure accuracy, completeness, and consistency
• Investigating and resolving data anomalies in collaboration with IT, vendors, and business stakeholders
• Documenting data sources, logic, and transformation rules
• Conducting exploratory and ad-hoc analysis to answer operational and business questions
• Supporting root cause analysis and investigative work requested by performance and operations teams
• Identifying data trends, anomalies, and patterns that may impact operational performance
• Delivering validated datasets and analytical outputs to Senior Performance Reporting Analysts and reporting teams
• Supporting the development of dashboards and reports by ensuring that underlying data is accurate and performant
• Assisting with performance metric calculations as defined by reporting governance
• Collaborating with data engineering and IT teams on data warehouse, data mart, and reporting layer enhancements
• Supporting automation of data pipelines and recurring analytical processes
• Participating in data governance, metadata management, and documentation initiatives

Data Analyst – Business Transformation

• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives
• Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

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