As a Data Analyst in an agile team, you will support the strategic direction of data management by conducting analysis on data structures, attribution, maintenance, and models. Your daily tasks include reverse-engineering business and technical artifacts to capture metadata for systems within the portfolio, developing ETL routines to load disparate datasets, and performing data quality assessments. You will collaborate closely with functional and technical data stewards to present findings and recommendations, ensuring high-quality service to customers. The role requires experience in SQL, ETL performance optimization tools like StreamSets or Databricks, and working with large datasets in enterprise-level environments. Additionally, familiarity with Agile development methodologies and scripting languages such as Python is beneficial. This position offers the opportunity to work on complex data management challenges within a dynamic team setting.
Skills
SQL
ETL
Python
Agile
Jupyter Notebooks
StreamSets
Databricks
Data Warehousing
Data Lake
Metadata Repository
Logical Data Modeling
Data Governance
Air Force Logistics systems data
Information Management
Requirements Elicitation
Data Collection Systems
Statistical Techniques
What you'll do
Analyze operational activities for decision-making and resource allocation.
Reverse-engineer business and technical artifacts to capture metadata.
Develop ETL routines to load and curate disparate data sets.
Review submitted data to detect quality problems and assist in corrections.
Collaborate with data stewards to present findings and recommendations.
Collect and analyze system artifacts to support stakeholders in improving practices.
What we're looking for
5+ years of experience in data analysis
Proficiency in SQL for data quality and profiling activities
Experience with ETL performance optimization tools like StreamSets, Databricks, or Jupyter Notebooks
Ability to lead small teams (3–4 personnel) in Agile environments
Scripting language expertise and experience working with large datasets in enterprise-level data warehouses/lakes
Strong background in creating data mapping documentation for databases, interfaces, and applications
Experience collaborating closely with functional and technical data stewards
Market check
Salary context
This
$61,900–$141,000
range sits above
6%
of similar postings on FindRole.
Peer median band
$99,000–$184,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$175,500
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
627 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 614 roles with salary data.