Data Analyst, Mid

Booz Allen Hamilton • Wharton, NJ

1d

About The Position

As a client-facing Data Analyst at Booz Allen, you will work in data-rich environments to make sense of structured and unstructured data. You will transform complex data sets into useful information, provide a deep understanding of client data, and recommend how it can support strategic engagements, process improvement, visualization, and analysis. The role involves building analytic products and data models, exploring and analyzing data, automating data ingestion, and communicating insights to senior leaders in support of mission needs.

Requirements

• Experience 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 data analysis to identify trends, patterns, correlations, and gaps over time.
• Ability to build and maintain data pipelines and connectors to automate recurring data ingestion.
• Ability to obtain a Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience building internal analytics platforms and data products.
• Experience 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.

Responsibilities

• Build interactive dashboards, reports, and data models.
• Explore, clean, visualize, and model data, including predictive modeling.
• Conduct quantitative and qualitative analysis to identify trends, patterns, correlations, and gaps over time.
• Build and maintain data pipelines and connectors to automate recurring data ingestion.
• Brief senior leaders.
• Provide recommendations on the meaning and use of data to support strategic engagements, process improvement, visualization, and analysis.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level