Mid Analytic Methodologist

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Aurora, CO
Salary: $77,600–$176,000 / yr
Posted: 25 days ago
Freshness: Confirmed live yesterday
Closes: Nov 15, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $147k

This role $127k

$66k most similar roles pay here $189k

This role pays less than 58% of similar roles. Most pay $117,369–$177,412 — the shaded band above. At the midpoint, this role pays about $127k versus about $147k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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At a glance

TL;DR · Mid Analytic Methodologist

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As an Analytic Methodologist, Mid, you will join the team to transform complex structured and unstructured data into actionable information to solve global challenges in areas such as fraud detection, cancer research, and national intelligence. You will work closely with clients to identify their specific needs, then develop algorithms, systems, and predictive data models to provide objective answers from disparate data points. The role requires expertise in data exploration, cleaning, analysis, visualization, mining, decision analysis, and modeling. You will utilize programming languages like Python or R alongside techniques in mathematics, statistics, information science, AI, machine learning, probability modeling, data engineering, and data warehousing. Candidates must possess an active TS/SCI clearance and experience conducting quantitative social science, including survey design and field experiments, to address complex problems within a high-security environment.

Skills

Python R Machine Learning Artificial Intelligence Data Science Data Mining Data Engineering Data Warehousing Statistics Probability Modeling Data Visualization Modeling and Simulation IoT

What you'll do

Analyze large sets of structured and unstructured data to identify key information and insights.
Develop algorithms and systems using various tools and frameworks to solve complex problems.
Translate poorly defined client problems into specific questions with practical quantitative solutions.
Perform data cleaning, exploration, mining, and visualization for diverse projects.
Build and document predictive data models and conduct quantitative analyses.
Use Python or R to perform statistical analysis on large datasets.
Create high-quality technical documentation, reports, and visualizations for client deliverables.
Interpret complex data findings to provide actionable insights for informed decision-making.

What we're looking for

3+ years of experience with data exploration, cleaning, analysis, visualization, mining, decision analysis, modeling, or simulation.
3+ years of experience with statistical and general-purpose programming languages such as Python or R.
Experience developing and documenting predictive data models, quantitative analyses, and visualization of targeted data sources.
Experience conducting quantitative social science, including survey design and analysis or field/laboratory experiments in a professional environment.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor’s degree and 3+ years of experience with scientific techniques like math, statistics, AI, machine learning, or data engineering.
7+ years of experience with scientific techniques such as math, statistics, AI, machine learning, or data engineering in lieu of a degree.
Master's degree in Quantitative Social Science (preferred); Doctorate degree in Quantitative Social Science (plus).