Principal Data Analyst

Genworth Financial, Inc.; Richmond (VA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive Compensation

Comprehensive Healthcare Coverage

401(k) Savings Plan Options

Generous Paid Time Off

Tuition Reimbursement

Wellness support

Job summary

Genworth Financial, Inc. is looking for a Principal Data Analyst in Richmond, VA, to serve as an analytical partner for the Long Term Care Claims Operations leadership. This role requires expertise in Power BI and SQL to deliver insights that drive strategy and operational outcomes.

The candidate should possess strong data storytelling skills and a deep understanding of analytics to present findings to senior leadership effectively. Experience in data quality assurance and a strong educational background in analytics or related fields are essential for success in this position.

Qualifications

• 6+ years of progressive experience in data analytics.
• Experience with query optimization and complex joins.
• Proven ability to deliver actionable insights.

Responsibilities

• Design and develop scalable Power BI solutions.
• Lead the development of complex SQL queries.
• Validate and certify data sourced from multiple systems.

Skills

Advanced SQL expertise

Power BI expert

Experience with large datasets

Advanced analytics or modeling

Strong communication skills

Education

Bachelor’s degree in a relevant field

Master’s degree (preferred)

Tools

Power BI

SQL Server

Python

Excel

Job description

Principal Data Analyst

Location: Richmond, VA (hybrid/in-office)

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.

What you will be doing

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 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, inconsistencies, and apply strong analytical judgment to uncover root causes and upstream process gaps.

Partner with source system owners, data engineering, and data governance teams to drive resolution of data issues and prevent recurrence.

Establish, document, and reinforce data validation standards, controls, and best practices to improve confidence in reporting and analytics.

Apply trend analysis and variance detection techniques to surface potential data or process risks before they materially impact decision‑making.

Enablement, Upskilling & Support

Serve as a subject matter expert and trusted advisor for Power BI usage, data interpretation, and reporting design.

Upskill business and technical teams through coaching, knowledge sharing, documentation, and informal training.

Provide troubleshooting and advisory support for Power BI solutions, datasets, and reporting issues, helping teams resolve problems efficiently.

Foster a culture of data literacy, shared ownership, and continuous improvement across supported teams.

Mentor junior analysts and raise overall analytical maturity through leadership by example.

Business Partnership & Cross‑Functional Collaboration

Partner closely with stakeholders across LTC Claims, Customer Service, Operations, Finance, WFM, and other functions to understand priorities and align analytics to business outcomes.

Work collaboratively with data engineering, analytics, and data governance teams to align reporting with enterprise data strategy and evolving data architecture.

Coordinate across departments to integrate new data sources and evolve existing reporting as business needs change.

Contribute to complex, cross‑functional initiatives where analytics and reporting are critical to success, operating independently while engaging leadership for alignment on high‑impact decisions.

Qualifications

Experience: 6+ years of progressive experience in data analytics or a related field, with demonstrated impact in complex business environments.

• Advanced SQL expertise (Oracle, Microsoft SQL Server, or equivalent), including query optimization, complex joins, CTEs, and performance tuning.
• Power BI expert, including data modeling, DAX, visual design best practices, and dashboard storytelling for executive audiences.
• Strong experience working with large, structured datasets using SQL, Excel, and/or Python.
• Advanced analytics or modeling experience using Python and/or R.

Education: Bachelor’s degree in an analytical, technical, or quantitative discipline (e.g., Analytics, Data Science, Economics, Mathematics, Computer Science). Master’s degree in a related field is a plus.

Nice to have: Experience with Databricks or modern cloud‑based data platforms; Experience with internal Genworth systems or background in the Insurance / Financial Services industry; Experience with TIBCO Spotfire, Business Objects, or similar BI tools; Experience working with Pega.

Benefits & Well‑Being

• Competitive Compensation & Total Rewards
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options with auto‑enrollment
• Generous Paid Time Off – 12 paid holidays, volunteer time off, and paid family leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment, and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

Additional

This role is not eligible for employment visa sponsorship.

Equal Opportunity Employment

Genworth is a proud equal‑opportunity employer. All hiring decisions are based on merit, qualifications, and business need. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, or other legally protected characteristics.