Data Product & Integration Analyst

Genworth; Richmond (VA); Hybrid; USD 105,000 - 135,000; Full time

Job summary

Genworth in Richmond, VA seeks a data analytics and governance professional to design curated datasets, partner with data engineering, and ensure data quality for customer segmentation and reporting. You will apply governance principles, collaborate with analytics teams, and translate business needs into data solutions while thriving in a hybrid work environment.

Responsibilities include aligning data definitions, improving data accessibility, and driving enterprise data quality initiatives to

Qualifications

• Bachelor's degree or equivalent professional experience.
• 5+ years in data analytics, governance, or data-related roles in a fast-moving environment.
• 5+ years of hands-on SQL experience with complex queries.
• 3+ years in Power BI with semantic models, dataflows, gateways, and Power BI Server.
• 3+ years scripting with Python or R.
• 3+ years supporting data governance or data quality initiatives.
• 3+ years in Azure or cloud data services and data warehouses/lakes.
• Strong understanding of data governance, quality, metadata, and lineage.

Responsibilities

• Design and maintain curated datasets combining data from multiple systems for customer segmentation and reporting.
• Partner with data engineering to source, transform, and consolidate data into trusted assets.
• Validate data mappings, lineage, and business rules for accuracy and traceability.
• Develop and sustain data products to support reporting and decision-making.
• Apply enterprise data governance to improve quality, integrity, and usability.
• Create and maintain business metadata, data dictionaries, glossaries, and lineage docs.
• Define and monitor data quality controls and coordinate remediation.
• Collaborate with business and tech partners to establish governance standards.

Skills

SQL

Power BI

Data governance

Data modeling

Azure

Python

Excel

Agile

Data quality

Stakeholder mgmt

Education

Bachelor's degree or equivalent

Master's degree in Data Analytics (nice to have)

Tools

Azure

SQL Server

ETL pipelines

Git

Alteryx

Airflow

Excel VBA

Databricks

Job description

Requirements

Must have:

• – Bachelors degree in Information Systems, Data Analytics, Computer Science, Business, Statistics, or a related discipline, or equivalent professional experience.
• – At least 5 years of experience in data analysis, business analysis, data governance, data stewardship, data modeling, or data engineering in a fast-moving environment.
• – At least 5 years of hands-on SQL experience, including writing highly complex queries to extract, transform, and analyze large datasets.
• – At least 3 years of Power BI experience, with strong knowledge of semantic models, dataflows, gateways, and publishing to Power BI Server.
• – At least 3 years of scripting experience with languages such as Python or R.
• – At least 3 years supporting data governance, metadata management, or data quality initiatives.
• – At least 3 years working in Azure or another cloud environment with related data services, including familiarity with data warehouses, data lakes, and modern data architecture concepts.
• – Strong understanding of data governance, data quality, metadata management, and data lineage, including familiarity with enterprise data catalog and governance platforms.
• – Experience using Git-based source code management tools and practices.
• – Advanced Microsoft Excel skills, including pivot tables, external data connections, and VBA automation.
• – Experience working with Agile delivery methodologies.
• – Strong critical thinking and problem-solving skills, with the ability to combine quantitative and qualitative insights to support business strategy and execution.
• – Strong results orientation, accountability, and urgency, with a consistent focus on delivering high-quality work on time.
• – Ability to self-manage multiple changing priorities in a fast-paced environment while staying focused on outcomes.
• – Excellent verbal and written communication skills for both technical and non-technical audiences.
• – Ability to understand, analyze, and document complex business processes.
• – Ability to translate business requirements into practical technical data solutions.
• – Strong teamwork, relationship‑building, stakeholder management, and cross‑functional collaboration skills.

Nice to have:

• – Nice to have: Masters degree in Data Analytics or a related field.
• – Nice to have: Experience supporting customer segmentation or advanced analytics initiatives.
• – Nice to have: Experience migrating legacy data systems to Azure or other cloud platforms.
• – Nice to have: Experience with big data technologies such as Azure Databricks.
• – Nice to have: Advanced Power BI experience building interactive executive dashboards.
• – Nice to have: Python or R experience developing predictive models for customer or claims outcomes.
• – Nice to have: Experience building and maintaining SQL Server databases and ETL pipelines.
• – Nice to have: Experience using Alteryx to automate data preparation and improve analytics workflows.
• – Nice to have: Familiarity with Apache Airflow for workflow orchestration and pipeline management.
• – Nice to have: Experience in insurance, policy administration, risk management, or customer data domains.
• – Nice to have: Knowledge of Long Term Care insurance products and claims processes.

Responsibilities

• – Design and maintain curated datasets that combine data from multiple systems and domains to support customer segmentation and business reporting.
• – Partner with data engineering teams to source, transform, and consolidate data into trusted enterprise assets.
• – Validate data mappings, lineage, and business rules to ensure accuracy, consistency, and traceability.
• – Help develop and sustain data products that support reporting, analytics, and business decision‑making.
• – Apply enterprise data governance principles to improve data quality, integrity, consistency, and usability.
• – Create and maintain business metadata, data dictionaries, business glossaries, and lineage documentation.
• – Define and monitor data quality controls, identify issues, and coordinate remediation with stakeholders.
• – Work with business and technology partners to establish shared definitions and governance standards.
• – Serve as a bridge between business stakeholders and technical teams by translating business needs into actionable data requirements.
• – Analyze business processes to understand how data is created, consumed, and used across the organization.
• – Facilitate alignment on data definitions, priorities, requirements, and expected outcomes.
• – Collaborate with reporting and analytics teams to ensure data solutions support business objectives.
• – Identify opportunities to improve data accessibility, data quality, process efficiency, and governance practices.
• – Perform exploratory analysis to test business assumptions and support strategic initiatives.
• – Recommend improvements to data models, data flows, and governance processes.
• – Support enterprise efforts related to customer segmentation, risk analytics, and operational reporting.
• – Act as a subject matter resource for data assets within assigned business domains.
• – Provide guidance on data governance standards and best practices.
• – Lead small projects or workstreams involving data integration, governance, or process improvement.
• – Build strong relationships across business, analytics, data engineering, and technology teams.

Company

We are Genworth, and we help families navigate the aging journey with confidence through compassionate guidance, products, and services. We value inclusion, diversity, and belonging, and we bring empathy to our work with colleagues and communities. Our culture is shaped by four guiding values: make it human, make it about others, make it happen, and make it better. This role is based in Richmond, Virginia, with a hybrid schedule that includes in‑office days on Tuesday, Wednesday, and Thursday during core business hours. We also support our employees through community investment and offer competitive compensation and total rewards incentives.