Genworth
is hiring
Data Analyst
About Our Company
Genworth Financial, Inc. (NYSE: GNW) is a Fortune 500 provider of products, services, and solutions that help families navigate the aging journey with confidence. Headquartered in Richmond, Virginia, Genworth applies its nearly 150 years of experience each day to helping people navigate caregiving options and fund their long-term care needs.
Our primary office locations in the U.S. are Richmond, VA, Lynchburg, VA, Stamford, CT, Waltham, MA and New York, NY.
Job Description & Responsibilities
Richmond, VA (hybrid)
Remote US (Eastern and Central Time Zones)
This position is available to Virginia residents as Richmond, Virginia in-office applicants or 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, Virginia, Washington DC, Vermont, West Virginia or Wisconsin.
YOUR ROLE
Do you find energy and excitement in leveraging critical thinking and data insights to help drive forward business strategy and solve complex, unstructured problems? Do you have a self-starting attitude constantly driving improvements without direction? Are you naturally curious always looking for new information and relationships? Do you enjoy driving strategy and results using creative problem solving and data?
We are revolutionizing the analytics space in the Long-Term Care Insurance industry via innovative technology, intuitive design, and creative thought leadership. We have repeatedly shown the value of the analytics team and continue to invest in our team.
Using the latest analytic tools and processes, we’re able to analyze our data to provide strategic insight leading to transformational change. To carry us even further, we are seeking a Data Analyst to join our expanding, problem-solving team, supporting our Long-Term Care Data Insights and Strategy team. You will harness the power of data, critical thinking, curiosity and an eye for detail to enhance analytic insights and business strategy for our customers and processes to support critical initiatives that will transform the landscape of Long-Term Care Insurance.
What You Will Be Doing
- Develop knowledge around new and existing datasets associated with policies, claims and customers
- Maintain critical data reporting and analysis, running on data infrastructures supporting key business initiatives: including reporting, dashboards, cost/benefit analysis and decision impact
- Directly support various Senior Leaders by leveraging data, providing analytic insights and tracking results
- Uncover impactful data insights; recommend new strategies and develop custom approaches/techniques in the Long-Term Care market
- Utilize strong programming skills to explore, examine and interpret large data sets in various forms
- Communicate progress, insights and analytic findings via oral and written methods, including a mature command of data visualization methods
- Build relationships with business partners and senior leaders across the business foster collaboration, manage project progress and communicate project results
- Handle ad hoc requests from customers in a timely fashion identifying core business problem, gather relevant customer requirements and develop analytical solutions
- Present business insights to stakeholders
Requirements
What You Bring
- Bachelor's degree in an analytical or technical discipline
- At least 3 years of analyst experience in a dynamic environment. Expertise obtained through progressive analytical and operational work experience.
- Critical thinker with the ability to leverage quantitative and qualitative data to support business strategy and execution
- Results-oriented with the ability to demonstrate a sense of urgency and accountability for your work
- Self-motivated with a drive for results
- Strong verbal/written communications skills to non-technical audiences
- Expertise in Excel
- Hands on Intermediate to advanced SQL/SAS or other programming language ability
- Experience with data visualization tools (e.g., Spotfire, Tableau, Business Power Intelligence or Business Objects)
Nice to have
- Life/LTC Insurance product and claims process knowledge
- Database/ETL experience
- Master’s degree in related field
- Subject matter expertise in advanced analytical and modeling data capabilities utilizing Python and/or R
- Experience with big data technologies (e.g., Hadoop, Spark, Hive, Databricks, AWS/Azure)
What we offer
Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.
- Competitive Compensation & Total Rewards Incentives
- Comprehensive Healthcare Coverage
- Multiple 401(k) Savings Plan Options
- Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
- Generous Paid Time Off – Including 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
For the State of New York:
The base salary pay range for this role starts at a minimum rate of $82,400 up to the maximum of $136,100. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 7% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.
