Data Analyst, Senior

Booz Allen Hamilton; Springfield (VA); Hybrid; USD 113,000 - 257,000; Full time

Job summary

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from large data sets, including IoT, machine learning, and AI. You will lead data analysis, mentor teammates, and guide clients in turning data into actionable recommendations to address national security and other complex challenges.

In this role you’ll design models, manage data governance, work with SQL, Python, and visualization tools, and communicate findings to agency leaders and technical staff.

Qualifications

• 4+ years of data analysis and data modeling experience with minimal guidance.
• 3+ years designing and automating HR performance dashboards with KPI tracking and refreshes.
• 3+ years querying relational databases using SQL.
• 2+ years developing data transformation scripts in Python, R, or SAS.
• Subject matter expertise in data analytics, modeling, visualization, and statistical methods.
• Experience maintaining data ontologies, taxonomies, metadata structures, or data governance.
• Experience evaluating process performance and ensuring analytical deliverables meet requirements.
• Ability to communicate technical information to agency leaders and professionals at all levels.
• TS/SCI clearance and eligibility.
• Bachelor’s degree in Statistics, Mathematics, CS, Analytics, or Data Science.

Responsibilities

• Lead data science projects and mentor team members.
• Collaborate with clients to define questions and data requirements.
• Develop and validate algorithms and predictive models.
• Ensure data governance and data quality across projects.
• Communicate findings to agency leaders and stakeholders.

Skills

Data analysis

Data modeling

HR dashboards

SQL

Python

R

SAS

Data visualization

Communication

TS/SCI clearance

Education

Bachelor’s degree in Statistics, Mathematics, CS, Analytics, or Data Science

Master’s degree in Data Science, Statistics, Analytics, Mathematics, CS, or related field

Tools

Power BI

Tableau

Qlik

Job description

Data Analyst, Senior

The Opportunity

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

You Have:

• 4+ years of experience independently performing data analysis and data modeling with minimal guidance or direction
• 3+ years of experience designing and automating HR performance dashboards for executive decision-makers, including KPI tracking, drill throughs, and scheduled refreshes
• 3+ years of experience querying relational databases using SQL
• 2+ years of experience developing data transformation scripts in Python, R, or SAS
• Experience serving as a subject matter expert in data analytics, data modeling, and data visualization, and developing or modifying statistical and predictive analytical models, algorithms, queries, and methodologies
• Experience maintaining or supporting data ontologies, taxonomies, metadata structures, or data governance frameworks, and coordinating with IT services to resolve data migration, validation, integration, and capability issues
• Experience evaluating process performance and recommending measurable improvements, applying quality control standards, and confirming that analytical deliverables meet established performance requirements
• Ability to communicate technical information effectively to agency leaders, managers, technical professionals, and team members at all levels
• TS/SCI clearance
• Bachelor’s degree in Statistics, Mathematics, CS, Analytics, or a Data Science field

Nice If You Have:

• Experience analyzing human capital, workforce, or organizational data
• Experience with data governance, enterprise data standards, or ontology management
• Experience developing statistical or predictive solutions using Python, R, SQL, or comparable analytical tools
• Experience creating dashboards and data visualizations using Power BI, Tableau, Qlik, or similar platforms
• Experience supporting data migration, system modernization, or data quality initiatives
• Experience working in a federal government or national security environment
• Ability to translate complex analytical results into concise recommendations for non-technical decision-makers
• Possession of strong analytical, problem-solving, and critical-thinking skills
• Master’s degree in Data Science, Statistics, Analytics, Mathematics, CS, or a related field
• Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.

This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working remotely are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

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.

About Booz Allen

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.

Commitment to Non-Discrimination 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.

Know Your Rights Poster Accommodations

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

Data Privacy

For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.