Data Analyst

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Beavercreek, OH
Salary: $61,900–$141,000 / yr
Posted: 2 days ago
Closes: Sep 13, 2026
Nearby: 49 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $154k

This role $101k

$48k most similar roles pay here $195k

This role pays less than 95% of similar roles. Most pay $126,800–$181,125 — the shaded band above. At the midpoint, this role pays about $101k versus about $154k for comparable roles.

Based on 240 similar postings.

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 690 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 681 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Analyst

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As a Data Analyst in an agile team, you will collaborate closely with subject matter experts across various organizations to collect and update business and technical metadata for systems within the portfolio. Your day-to-day responsibilities include analyzing operational activities, reverse-engineering data models, developing ETL routines, and maintaining data quality assessments. You will apply analytical techniques to determine solutions aligned with client requirements, ensuring alignment with the organization’s strategic data management direction. Key technologies and tools you’ll use include SQL for querying data, Python for scripting and automation, and platforms like StreamSets or Databricks for ETL performance optimization. This role requires a strong understanding of data governance, data maturity, and logical data modeling to support stakeholders in improving business practices within the IT services scope.

Skills

SQL Python ETL StreamSets Databricks Jupyter Notebooks Air Force data logistics requirements elicitation data governance logical data modeling data normalization statistical techniques metadata repository data quality assessments data profiles CI/CD

What you'll do

Analyze operational activities for decision-making and resource allocation.
Reverse-engineer business and technical artifacts to extract metadata.
Develop ETL routines to load and curate disparate data sets.
Review submitted data to detect quality problems and anomalies.
Maintain data asset inventory by identifying and closing information gaps.
Collaborate with data stewards to present findings and recommendations.

What we're looking for

3+ years of experience in data analysis and ETL performance optimization.
Proficiency in SQL, Python, and metadata repository tools like StreamSets or Databricks.
Bachelor’s degree required; advanced knowledge in data governance and DAMA DMBOK practices preferred.
Experience with database management, including data models and logical data modeling.
Strong analytical skills to reverse-engineer business and technical artifacts for metadata extraction.

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