Data Analyst

Booz Allen HamiltonSan Diego, CA
Remote

About The Position

As a client-facing data analyst, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also advise your client on what the information means and how it can be used to make an impact on DoW acquisition programs and help accomplish project goals within budget as we improve IT capabilities for the military. Work with us to help drive large-scale business and process decisions through data insights.

Requirements

  • 4+ years of experience working with DoW clients such as NAV WAR
  • 2+ years of experience with Tableau
  • 2+ years of experience with programming languages such as Python, R, or SQL, for data manipulation and analysis
  • 2+ years of experience with data engineering in Databricks or Spark
  • Experience using Power Apps such as Canvas Apps
  • Experience using Power Automate
  • Ability to be self-motivated and pay strict attention to detail
  • Secret clearance
  • Bachelor's degree

Nice To Haves

  • Experience with data visualization tools such as Power BI, Matplotlib, and Seaborn
  • Experience building or maintaining data pipelines
  • Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R
  • Knowledge of AI engineering
  • Possession of strong analytical, problem-solving, and critical thinking skills
  • Databricks or Power BI Certification

Responsibilities

  • Work closely with clients to understand their questions and needs.
  • Dig into data-rich environments to find information.
  • Provide a deep understanding of client data.
  • Advise clients on what the information means and how it can be used to make an impact on DoW acquisition programs.
  • Help accomplish project goals within budget by improving IT capabilities for the military.
  • Drive large-scale business and process decisions through data insights.

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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