Data Analyst, Senior

This Senior Data Analyst position supports missions by turning structured and unstructured data into actionable insights for strategic engagements and process improvement. The role includes client-facing analysis and recommendations on how information can create measurable impact.

Location and Work Model

• Location: Wharton, NJ (onsite)
• Work model: Onsite work is primarily performed full-time at a customer facility, with collaboration with colleagues and customers as required by the role

Compensation

• Salary: USD 77,600 - 176,000 per yearly

Key Responsibilities

• Develop a deep understanding of assigned data and provide recommendations on what the information means and how it can be used to make an impact
• Apply insights to support strategic engagements, process improvement, visualization, and analysis

Required Qualifications

• 10+ years of experience with data analysis
• 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 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

Technology and Tools

• Microsoft Power Platform, including Power Automate
• Python; Pandas; NumPy
• API integration; SQL
• ETL and ELT
• Data pipelines and connectors
• Interactive dashboards; data visualization

Preferred Qualifications (Nice If You Have)

• 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

Security and Identity Verification

• Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
• Identity verification: The hiring process includes identity verification that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud
• Interview/assessment requirements: Candidates are expected to be on camera during interviews and assessments
• Identity verification on-site/remote: The organization may take a picture to verify identity and prevent fraud

AI Usage Policy

• AI tools are part of daily work, but using artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided

Benefits

• Health, life, and disability benefits
• Financial and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program
• Full-time and part-time employees working at least 20 hours per week on a regular basis may be eligible to participate in Booz Allen’s benefit programs
• Individuals who do not meet the threshold may be eligible for select offerings, not inclusive of health benefits

Non-Discrimination Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.