Principal Data Analyst

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates.

We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsor ships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:

• Make it human. We care about the people that make up our customers, colleagues, and communities.
• Make it about others. We do what's best for our customers and collaborate to drive progress.
• Make it happen. We work with intention toward a common purpose and forge ways forward together.
• Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE

Principal Data Analyst

POSITION LOCATION

This position is available to Virginia residents as Richmond, Virginia hybrid/in-office applicants (preferred location)

This position is available to remote applicants residing in states/locations under Eastern or Central Standard Time:
Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin

YOUR ROLE

The Principal Data Analyst will serve as a trusted analytical partner to Long Term Care Claims Operations leadership, translating complex data into clear, compelling insights that shape strategy and drive outcomes. This role requires deep expertise in Power BI, advanced SQL proficiency, and exceptional data storytelling skills to influence senior leaders. Operating with a high degree of autonomy, this individual will lead complex analytical efforts, design scalable dashboards, forecast trends, support capacity and financial planning, and proactively identify opportunities to improve operational effectiveness and efficiency.

This role goes beyond reporting; it is about insight, influence, and impact.

What you will be doing

• Act as a senior analytical advisor and trusted partner supporting Long Term Care Claims, Customer Service, and Workforce Management (WFM), delivering insights that directly inform strategic and operational decision-making.
• Power BI Development & Best Practices
• Design, develop, and own scalable Power BI solutions, including datasets, semantic models, reports, and dashboards aligned to enterprise standards.
• Apply and promote Power BI best practices related to:
  -Data modeling and DAX
  -Performance optimization and efficient query design
  -Security and role-based access
  -Workspace governance, lifecycle management, and deployment standards
• Ensure dashboards and reports are intuitive, well-documented, and optimized for both executive and operational audiences, with a strong focus on data storytelling.
• Serve as a steward of reporting standards, helping prevent ad hoc, duplicative, or inconsistent reporting solutions across teams.

Advanced Analytics & Insight Generation

• Lead the development of complex, highly optimized SQL queries to extract, transform, and analyze large, structured datasets.
• Translate ambiguous or complex business questions into well-defined analytical approaches, metrics, and success measures.
• Go beyond descriptive reporting to deliver diagnostic and forward-looking insights, including forecasting, scenario modeling, capacity planning, and cost-benefit analysis.
• Proactively identify emerging trends, performance drivers, risks, and opportunities impacting customer experience, operational efficiency, and financial outcomes.
• Present findings and recommendations to senior and executive leadership, delivering clear, compelling, and actionable data-driven narratives.

Data Validation & Quality Assurance

• Validate, reconcile, and certify data sourced from multiple teams, systems, and datasets to ensure accuracy, completeness, and consistency across reports, dashboards, and analytical outputs.
• Proactively identify data quality issues, anomalies, and inconsistencies, applying strong analytical judgment to uncover root causes and upstream process gaps.
• Partner with source system owners, data…