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Analytics Data Modeler Lead Job Opening In Richmond – Now Hiring Genworth Financial

Analytics Data Modeler Lead

    United States Jobs Expertini Expertini › United States › Jobs › Richmond › Mathematical Science Occupations › Analytics Data Modeler Lead

Job description

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

    Analytics Data Modeler Lead

    POSITION LOCATION

    Richmond

    YOUR ROLE

    The Analytics Data Modeler plays a vital role in transforming raw data into meaningful business insights.

    This professional is responsible for designing, developing, and maintaining robust data models that empower organizations to make informed decisions based on accurate and accessible information.

    Working at the intersection of business needs, data architecture, and advanced analytics, the Analytics Data Modeler ensures that data flows seamlessly and can be leveraged to derive actionable intelligence.

    What you will be doing

  • Data Modeling and Design: Develop conceptual, logical, and physical data models for business intelligence, analytics, and reporting solutions.

    Transform requirements into scalable, flexible, and efficient data structures that can support advanced analytics.
  • Requirement Analysis: Collaborate with business analysts, stakeholders, and subject matter experts to gather and interpret requirements for new data initiatives.

    Translate business questions into data models that can answer these questions.
  • Data Integration: Work closely with data engineers to integrate data from multiple sources, ensuring consistency, accuracy, and reliability.

    Map data flows and document relationships between datasets.
  • Database Architecture: Design and optimize database schemas using the medallion architecture which includes relational, star schema and denormalized data sets for BI and ML data consumers.
  • Metadata Management: Team with the data governance team so detailed documentation on data definitions, data lineage, and data quality statistics are available to data consumers.
  • Data Quality Assurance: Establish master data management data modeling so the history of how customer, provider and other party data is consolidated into a single version of the truth.

    transformation.
  • Collaboration and Communication: Serve as a bridge between technical teams and business units, clearly communicating the value and limitations of various data sources and structures.
  • Continuous Improvement: Stay abreast of emerging trends in data modeling, analytics platforms, and big data technologies.

    Recommend enhancements to existing data models and approaches.
  • Performance Optimization: Monitor and optimize data models for query performance and scalability.

    Troubleshoot and resolve performance bottlenecks in collaboration with database administrators.
  • Governance and Compliance: Ensure that data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security.

    • What you bring

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, or related field.

    Master’s degree preferred.
  • Minimum 3 years of experience in data modeling, data analysis, or database development, preferably in analytics-driven environments.
  • Proficiency in Erwin.
  • Solid understanding of DataBricks Delta tables and Postgres database platforms.
  • Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure).
  • Expertise in SQL.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and interpersonal abilities.
  • Experience with data governance, quality frameworks, and metadata management.
  • Knowledge of business intelligence tools (e.g., Power BI, Spotfire).

    • Nice to have

  • Data domain expertise in insurance and/or medical businesses.
  • Knowledge of cloud data management, data lakes, and ETL (Extract, Transform, Load) processes.
  • Ability to work independently and collaboratively in a cross-functional team environment.
  • Strong attention to detail and commitment to data accuracy.
  • Familiarity with Agile methodologies and project management practices.
  • Experience with Python
  • Understanding of industry-specific regulations (GDPR, HIPAA, etc.)

    • 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

    • This role is not eligible for employment visa sponsorship.

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Analytics Data Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Genworth Financial adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Analytics Data Modeler Lead Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Richmond. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Analytics Data Modeler Lead?

    Key qualifications for Analytics Data Modeler Lead typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Analytics Data Modeler Lead Job Success

    Genworth Financial interview tips for Analytics Data Modeler Lead

    Here are some tips to help you prepare for and ace your Analytics Data Modeler Lead job interview:

    Before the Interview:

    Research: Learn about the Genworth Financial's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Be Yourself: Let your personality shine through while maintaining professionalism.

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    Final Thought:

    To prepare for your Analytics Data Modeler Lead interview at Genworth Financial, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Genworth Financial's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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