Analytics Data Modeler Lead

Genworth-posted 3 months ago

Full-time • Mid Level

Lynchburg, VA

251-500 employees

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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.

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.
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.
Work closely with data engineers to integrate data from multiple sources, ensuring consistency, accuracy, and reliability.
Map data flows and document relationships between datasets.
Design and optimize database schemas using the medallion architecture which includes relational, star schema and denormalized data sets for BI and ML data consumers.
Team with the data governance team so detailed documentation on data definitions, data lineage, and data quality statistics are available to data consumers.
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.
Serve as a bridge between technical teams and business units, clearly communicating the value and limitations of various data sources and structures.
Stay abreast of emerging trends in data modeling, analytics platforms, and big data technologies.
Recommend enhancements to existing data models and approaches.
Monitor and optimize data models for query performance and scalability.
Troubleshoot and resolve performance bottlenecks in collaboration with database administrators.
Ensure that data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security.

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).

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.)

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

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