Remote Data Analyst: SQL & Power BI for Ops Insights

Genworth; Lynchburg (VA); Hybrid; USD 69,000 - 103,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Savings

Paid Holidays

Tuition Reimbursement

Wellness Support

Job summary

Genworth seeks a Data Analyst to support business teams with timely, secure access to operational data. You will manage data requests through ServiceNow, translate needs into data requirements, and retrieve information from multiple databases.

The role spans collaboration with analytics, technology, and business teams, executing SQL, validating results, and documenting the lifecycle from intake to delivery. Emphasis on accuracy and efficiency.

Qualifications

• 2+ years of data analysis, reporting, or operations experience.
• Strong SQL and Excel skills to retrieve and validate data.
• Ability to translate business needs into data requirements and communicate findings.

Responsibilities

• Manage data requests via ServiceNow, clarifying requirements and timelines.
• Write and maintain SQL queries across databases to deliver accurate data.
• Validate data extracts for accuracy and completeness against standards.
• Collaborate with data owners and tech teams to resolve access needs.
• Document requirements, query logic, and delivery records thoroughly.
• Identify opportunities to automate recurring requests with reports and dashboards.

Skills

SQL

Excel

Power BI

ServiceNow

Power Query

Power Automate

Python

Databricks

Education

Bachelor’s degree in Data Analytics, Information Systems, Business, Computer Science, Economics, Mathematics, or related field

Tools

Power BI

ServiceNow

Power Query

Power Automate

Python

Databricks

Job description

Genworth seeks a Data Analyst to support business teams with timely, secure access to operational data. You will manage data requests through ServiceNow, translate needs into data requirements, and retrieve information from multiple databases.

The role spans collaboration with analytics, technology, and business teams, executing SQL, validating results, and documenting the lifecycle from intake to delivery. Emphasis on accuracy and efficiency.