Hybrid Enterprise Data Analyst: Insights & Data Quality

PenFed Credit Union; San Antonio (TX); Hybrid; USD 79,000 - 139,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Parental leave

Life and disability coverage

401(k) match

Employee loan discounts

Education assistance

Job summary

PenFed is seeking an Enterprise Data Analyst for a hybrid role in the Tysons, Virginia or San Antonio, Texas location. The role focuses on collecting, analyzing, and interpreting data across sources to inform business decisions, while collaborating with data stewards to improve data health.

You will work with Data Engineers, Data Modelers, and Quality Analysts to ensure data quality and implement governance practices, including documenting data lineage and metadata.

Qualifications

• Bachelor's degree in information systems or business management.
• 8+ years in data analysis, requirements gathering, and QA in financial institutions.
• 2+ years with Snowflake and AWS cloud data solutions.
• Strong data management concepts including metadata and data lineage.
• Excellent written and verbal communication with management.

Responsibilities

• Conduct complex data analysis to support analytic solutions, interpret results and provide insights.
• Develop metrics to show how data management adds business value.
• Collaborate with business and technical partners to gather data requirements.
• Work with Data Engineers and Data Modelers during development stages.
• Validate data with Quality Analysts to meet project requirements.
• Document data dictionaries, mappings, and data lineage.
• Identify data quality improvements with business teams.

Skills

Data analysis

Requirements gathering

Data quality

Communication

Governance concepts

Cloud data solutions

Education

Bachelor's degree in information systems or business management

Master's degree preferred

Tools

Snowflake

AWS

Job description

PenFed is seeking an Enterprise Data Analyst for a hybrid role in the Tysons, Virginia or San Antonio, Texas location. The role focuses on collecting, analyzing, and interpreting data across sources to inform business decisions, while collaborating with data stewards to improve data health.

You will work with Data Engineers, Data Modelers, and Quality Analysts to ensure data quality and implement governance practices, including documenting data lineage and metadata.