Data Analyst, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
MacDill AFB, FL
Employment
Full-time
Posted
68 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $140k
$87k $186k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $117,500–$162,300.

Based on 240 similar postings.

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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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Analyst, Mid

JOB TITLE: Data Analyst, Mid As a Data Analyst, Mid, you will join the Joint and Partner Forces market team to support USCENTCOM’s data lake environment. You will work directly with clients to extract, evaluate, and interpret complex data sets to improve intelligence for warfighters. Your daily responsibilities include researching and testing data methodologies, developing data pipelines, and establishing quantitative metrics to drive technical outcomes. You will use scripting languages such as SQL, Python, or R, along with the Microsoft Office Suite, to present findings through graphs and tables. The role requires identifying new data sources and integrating tools to enable self-service frameworks. You will solve technical problems by transforming structured and unstructured data into actionable insights to support machine learning and artificial intelligence development campaigns within a military context.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Research, develop, and test data methodologies to generate cross-functional solutions from large datasets.
  • Extract and evaluate data from complex environments to solve specific client information puzzles.
  • Develop data pipelines and integrate tools to enable self-service frameworks for data consumers.
  • Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
  • Create data visualizations using graphs, tables, and PowerPoint slides to present findings to stakeholders.
  • Use SQL, Python, or R to design algorithms and perform complex data manipulation.
  • Translate technical requirements and trends into simplified insights for diverse audiences.
  • Identify new data sources and methods to improve collection, analysis, and reporting.

What we're looking for

  • High school diploma or GED.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • 2+ years of experience designing algorithms and data manipulation capabilities using R, Python, or SQL.
  • Knowledge of identifying new data sources and methods to improve collection, analysis, and reporting.
  • Ability to develop data pipelines and integrate tools to enable self-service frameworks for data consumers.
  • Ability to work collaboratively with intelligence and data analysis teams to produce qualitative and quantitative data.
  • Experience with distributed data or computing tools including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL (preferred).
  • Experience with visualization packages including Plotly, Seaborn, or ggplot2 (preferred).

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