Association 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 sponsorships, 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

Association Data Analyst

POSITION LOCATION

Remote US (Eastern or Central Time)

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 bring a data-oriented and agile mindset to your work? Do you have a self-starter attitude that is constantly driving improvements without direction? Are you a curious individual who is always exploring information? 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 help carry us even further, we are seeking an Associate Data Analyst to join our expanding, problem-solving team, supporting our Long Term Care Claims Operations & Actuarial Functions. You will harness the power of data to better forecast trends, build dashboards that measure effectiveness/efficiency, provide cost benefit analysis and project impact all while getting to present findings/insights to the leadership team.

What you will be doing

• Drive proactive analytics and reporting for Policy and Claims data
• Form strong relationships with Leadership to develop deep context about the organization initiatives and help shape strategy through data
• Conceptualize, create, iterate and maintain dashboards for tracking key metrics and driving business recommendations
• Ensure the consistent application while refining and improving metrics as the company’s challenges and data evolves

What you bring

• Bachelor’s degree in an analytical field of study such as Mathematics, Operations Research, Computer Science or Economics
• Strong knowledge of how to manage and analyze structured and unstructured data using Microsoft Excel, SQL, and/or Python, R and Scala
• At least 1 year of practical experience applying statistical methods or machine learning techniques such as linear regression or generalized linear regression, logistic regression, random forest and neural network. (1-2 years professional experience preferred)
• A highly analytical and curious mindset that can iteratively define relevant metrics and translate analytical insights to drive strategy, action and recommendations
• The proven ability to anticipate concerns and problem solve always with the end solution in mind
• Ability to present insights and make recommendations to Senior Management
• Experience building clear and easy to understand dashboards and data visualizations

Nice to have

• Spotfire experience

Employee Benefits & Well-Being

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

ADDITIONAL

• At this time, Genworth will not sponsor a new applicant for employment authorization for this position.

For the State of New York:

The base salary pay range for this role starts at a minimum rate of $66,800 up to the maximum of $110,300.  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.