Hybrid Data Product & Integration Analyst

gnw; Richmond (VA); Hybrid; USD 84,000 - 127,000; Full time

Benefits offered by this job

Competitive compensation

Healthcare coverage

401(k) programs

Paid time off and holidays

Education reimbursement

Job summary

Genworth is seeking a Data Product and Integration Analyst in Richmond, VA, with a strong background in data governance, analytics, and reporting. You will connect business needs to data solutions, ensure quality, and enable scalable data products for strategic insights.

The role focuses on integrating data across systems, validating mappings, and partnering with analytics and engineering teams to support customer segmentation and risk analytics in a hybrid in-office/remote model.

Qualifications

• Bachelor's degree or equivalent work experience in a related field.
• Minimum of 5 years’ experience in data analysis, business analysis, data governance, data stewardship, data modeling, or data engineering.
• Minimum of 5 years’ experience with SQL and complex queries to analyze large data sets.
• Minimum of 3 years’ experience using Power BI with semantic models and dataflows.
• Minimum of 3 years’ experience with Python or R.
• Experience with Azure and cloud data services.

Responsibilities

• Design and maintain curated datasets integrating data across systems for customer segmentation and reporting.
• Validate data mappings, lineage, and business rules for accuracy and traceability.
• Define and monitor data quality controls; document metadata and lineage.
• Collaborate with stakeholders to ensure data solutions support business objectives and analytics.

Skills

SQL

Python

R

Power BI

Data governance

Data modeling

Azure

Git

Excel

Education

Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Statistics, or related field

Tools

Power BI

SQL

Python

R

Azure

Excel

Git

Job description

Genworth is seeking a Data Product and Integration Analyst in Richmond, VA, with a strong background in data governance, analytics, and reporting. You will connect business needs to data solutions, ensure quality, and enable scalable data products for strategic insights.

The role focuses on integrating data across systems, validating mappings, and partnering with analytics and engineering teams to support customer segmentation and risk analytics in a hybrid in-office/remote model.