Data Analyst Manager

Richmond, Virginia

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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
Data Analyst Manager
Data Insights & Strategy Committee

POSITION LOCATION
Richmond, VA

This position offers a hybrid schedule, requiring at least 2 days onsite in the office (Tuesday and Wednesday).



At Genworth, we are committed to caring for our customers and for the safety of our colleagues. In the event the office is inaccessible (i.e. Inclement Weather), this role may be required to work remotely.

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 Manager to join our expanding, problem-solving team, supporting our Long-Term Care Data Insights and Strategy team. This individual 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 subject-matter expertise and knowledge around new and complex datasets associated with policies, claims, and customers
• Maintain and enhance critical data reporting and analysis, running on robust data infrastructures supporting key business initiatives: including reporting, dashboards, cost/benefit analysis, and decision impact
• Directly support various Senior Leaders by leveraging data, analytic insights, and critical thinking to execute on business strategy and track results
• Uncover critical, high-impact data insights, recommending new strategies, and develop custom approaches/techniques in Long-Term Care market
• Discover new perspectives on existing solutions and evaluates situations using multiple sources of information
• Leverage 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 to create collaborative teams, manage project progress, and communicate project results and insights
• Handle ad hoc requests from customers in a timely fashion identifying core business problem, gather relevant customer requirements, and develop analytical solutions
• Effectively manage critical initiatives and present business insights to leadership

What you bring
• Bachelor's degree in an analytical or technical discipline
• At least 5 years of analyst experience in a dynamic environment. Expertise obtained through progressive analytical and operational work experience
• Intellectual curiosity and a desire to find answers. Strong ability to “connect the dots” and provide creative solutions.
• Critical thinker able to leverage quantitative and qualitative data to support business strategy and execution
• Results-oriented and able to demonstrate a sense of urgency and accountability for your work
• Self-motivated with a drive for results and well verbal/written communications skills to non-technical audiences
• Advanced Expertise in Microsoft Excel
• Hands on Intermediate to advanced SQL/SAS or other programming language ability
• Experience with data visualization tool (i.e. 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 (i.e. Hadoop, Spark, Hive, Databricks, AWS/Azure and etc)

ADDITIONAL

  • At this time, Genworth will not sponsor a new applicant for employment authorization for this position.
  • No agencies please.
  • Strong candidate identified. Other candidates are encouraged to apply.

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Tags: AWS Azure Big Data Databricks Data visualization ETL Excel Hadoop Python R SAS Spark Spotfire SQL Tableau

Region: North America
Country: United States

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