Data Analyst

Booz Allen Hamilton

The Opportunity

As a client-facing data analyst on the Global Defense Team, you will work closely with Marines to understand their questions and needs, and then analyze their data-rich environments. You will provide a deep understanding of their data, advise the client on its meaning and application for strategic engagements, process improvement, visualization, and analysis, and support a mission using data for good.

How You’ll Contribute

• Use technical knowledge and an analytical mindset to support client and stakeholder relationships.
• Identify, connect, and consolidate data from multiple sources across communication functions, including social and digital media analytics, media monitoring platforms, survey and engagement data, website analytics, and internal reporting systems.
• Build and maintain data pipelines and connectors such as Power Automate flows, Dataverse tables, Excel, and SharePoint sources to automate recurring data ingestion.
• Conduct quantitative and qualitative analysis of communication data to identify trends, patterns, correlations, and gaps over time.
• Translate communication goals and objectives into measurable indicators, metrics, and key performance indicators (KPIs) across outputs, outtakes, outcomes, and organizational impact.
• Identify opportunities to automate manual reporting processes using Power Automate and other Microsoft Power Platform tools.
• Design and build interactive dashboards, reports, and data models that present assessment findings clearly to senior leaders and staff.
• Develop recurring and on-demand visual products such as trend charts, scorecards, and heat maps that communicate performance against KPIs.

Requirements & Tech Stack

• Experience with building interactive dashboards, reports, and data models.
• Experience with data exploration, data cleaning, data visualization, and predictive modeling.
• Experience using Microsoft Power Platform Tools such as Power Automate.
• Experience with Python including Pandas, NumPy, API integration, SQL, ETL, and ELT.
• Ability to brief senior leaders.
• Ability to conduct quantitative and qualitative analysis of data to identify trends, patterns, correlations, and gaps over time.
• Ability to build and maintain data pipelines and connectors to automate recurring data ingestion.
• Secret clearance.
• Bachelor's degree.

Nice to Have

• Experience building internal analytics platforms and data products.
• Experience with translating leadership priorities and assessment requirements into analytic products.
• Experience with Databricks or PySpark.
• Knowledge of application architecture design.
• Knowledge of machine learning including classification, clustering, and evaluation metrics.

Compensation

• Projected compensation range: $62,000.00 to $141,000.00 (annualized USD).