Enterprise Data Analyst - PenFed Credit Union
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-09-07
Listing for:
Polluxa, Inc.
Full Time
position Listed on 2026-09-07
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Warehousing, Database Administrator
Job Description & How to Apply Below
- Conduct complex data analysis in support of a variety of analytic solutions. Interpret data, analyze results, and provide insights to determine operational impact, trends, and opportunities.
- Develop metrics associated with core data analysis, exhibiting how better data management practices improve business value.
- Collaborate with business and technical partners to understand and evaluate their requirements regarding data and determine the optimal way to gather and present data.
- Work closely with Data Engineers & Data Modelers during the project development stage.
- Work closely with the Quality analysts for data validation in line with the project requirements.
- Analyze data from legacy systems and determine requirements to incorporate this data into Snowflake Data warehouse.
- Identify opportunities to analyze data with a consistent focus on increasing the ability of business team to make data-driven decisions.
- Document data dictionaries, relationships, mappings, and data flows and data lineage as set forth in standards.
- Identify and define data quality improvements and collaborate remediation with business teams.
- Communicate with organizational units on data issues and opportunities.
- Bachelor's degree in information systems or business management required, master's degree preferred.
- Minimum of 8 years of experience in data analysis, requirements gathering and conducting quality assurance preferably in financial institutions.
- Minimum of 2 years of experience on working with Cloud based data solution ( Snowflake and AWS)
- Strong knowledge of and experience with data requirements, databases, reporting and data preparation tools.
- Strong knowledge of data management concepts including metadata, data quality, data lineage and Governance.
- Thorough understanding of business processes and data methodology.
- Must have strong written and verbal communication skills with ability to work with all management levels.
- Experience using A.I. tools preferred.
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