Data Analyst, Mid

Booz Allen Hamilton • Wharton, NJ

2d • $62,000 - $141,000

About The Position

As a client-facing Data Analyst at Booz Allen, you will work in data-rich environments to transform complex structured and unstructured data into useful information. You will develop a deep understanding of client data and provide recommendations on what it means and how it can support strategic engagements, process improvement, visualization, and analysis. The role involves building dashboards, reports, data models, and automated data pipelines, as well as conducting quantitative and qualitative analysis and briefing senior leaders.

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 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.
• 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

• Explore and clean data, create visualizations, and perform predictive modeling.
• Build interactive dashboards, reports, and data models.
• 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.
• Provide recommendations on data findings and how they can inform strategic engagements, process improvement, visualization, and analysis.
• Brief senior leaders.

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