Data Analyst, Lead

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
MacDill AFB, FL
Salary
$77,500–$176,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $127k
$64k $202k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $126,800–$188,000 — the blue band above. At the midpoint, this role pays about $127k versus about $157k 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 1504 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 918 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Analyst, Lead

JOB TITLE: Data Analyst, Lead The Data Analyst, Lead joins the joint and partner forces market team to support USCENTCOM’s data lake environment. This role focuses on supporting machine learning and artificial intelligence development campaigns to improve intelligence for warfighters. You will research, develop, and test data methodologies while generating cross-functional solutions through the collection, interpretation, and analysis of large datasets. Daily responsibilities include establishing quantitative and qualitative metrics, developing data pipelines, and presenting findings to stakeholders. You will utilize scripting languages such as SQL, Python, or R, alongside Microsoft Office Suite and visualization packages like Plotly, Seaborn, or ggplot2. The role requires expertise in distributed computing tools like Hadoop, Hive, and Spark to solve complex problems regarding worldwide military operations and risk reduction.

What you'll do

  • Research, develop, and test data methodologies to generate cross-functional solutions from large datasets.
  • Develop data pipelines and integrate tools to enable self-service frameworks for data consumers.
  • Use SQL, Python, or R to present data findings and recommendations to clients and stakeholders.
  • Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
  • Apply data visualization techniques using graphs, tables, and PowerPoint slides to communicate trends.
  • Identify new data sources and methods to improve collection, analysis, and reporting processes.
  • Translate complex technical requirements and data trends into simplified information for diverse audiences.

What we're looking for

  • Bachelor’s degree in a CS field.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • 4+ 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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