Data Analyst

Booz Allen HamiltonHonolulu, HI

About The Position

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data expert like you to bring your expertise to empower our clients to understand their data. As a client-facing data analyst with the U.S. Army, you’ll work closely with your clients to understand their data questions and then dig into their data-rich environments and tools 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 by developing decision-making support visualization products and dashboards to help translate data into recommendations. You will use artificial Intelligence (AI) and Machine Learning (ML) to automate the analysis of large amounts of information environment content in real time. How You’ll Contribute: Design and shape data pipelines to analyze the information environment in a streamlined way to provide sentient and stance analysis, trend forecasting, and instant crisis alerts. Research, develop, and test data methodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets. Contribute to impactful work and guide decision-making across multiple organizations. Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes. Apply data visualization through different formats such as graphs, tables, and maps on various platforms. Work with us to drive large-scale business and process decisions through data insights. Join us. The world can’t wait.

Requirements

  • 5+ years of experience with Data Analysis, Data Science, and Data Visualization, including integrating data feeds to display information
  • 5+ years of experience identifying and collecting data using various tools and methods including Palantir Foundry or Maven Smart Systems
  • Experience with AI, ML, data management, and data visualization
  • Experience with quantitative data analysis, performance measures, data cleansing, metrics analysis, and applied research
  • Experience leveraging various programs to facilitate process automation while maintaining data integrity
  • Ability to translate complex and technical findings into an easily understood narrative in graphical, verbal, or written formats for non-technical audiences or executive leadership
  • Ability to execute projects and tasks with minimal guidance and supervision
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Data Science

Nice To Haves

  • Experience working with data in Department of War Information Environments
  • Experience in data engineering and programming languages such as R, Python, or SQL
  • Experience with social media monitoring tools such as Talkwalker, Sprinklr, or Meltwater
  • Experience with analyzing operational assessment methodologies and decision criteria, and preparing and presenting briefings to senior leadership
  • Experience analyzing data in the Indo Pacific theater of operations
  • Possession of excellent verbal and written communication skills
  • Master's degree in Data Science

Responsibilities

  • Design and shape data pipelines to analyze the information environment in a streamlined way to provide sentient and stance analysis, trend forecasting, and instant crisis alerts.
  • Research, develop, and test data methodologies, and generate cross-functional solutions through collection, interpretation, evaluation, and analysis of large data sets.
  • Contribute to impactful work and guide decision-making across multiple organizations.
  • Establish quantitative and qualitative metrics and key performance indicators to drive technical outcomes.
  • Apply data visualization through different formats such as graphs, tables, and maps on various platforms.
  • Work with us to drive large-scale business and process decisions through data insights.

Benefits

  • Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
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