Data Analyst, Mid

Booz Allen Hamilton • Wharton, NJ

1d • $62,000 - $141,000 • Onsite

About The Position

As a client-facing Data Analyst at Booz Allen, you will work in data-rich environments to interpret structured and unstructured data and turn complex datasets into useful information. You will provide understanding of data and recommendations on how it can support strategic engagements, process improvement, visualization, and analysis. The role uses data to support mission outcomes and solve challenges.

The position is based in Wharton, New Jersey, and is not listed as remote. Applicants must be able to obtain a Secret clearance. The role requires a bachelor's degree.

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 apply predictive modeling to data.
• Conduct quantitative and qualitative analyses 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 what data means and how it can be used for 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 program.

What This Job Offers

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