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Salary
$62k – $141k per year
Location
In office (McLean)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Booz Allen Hamilton is a major American management and technology consulting firm that provides strategic, engineering, and cybersecurity services primarily to the U.S. government, defense agencies, and commercial clients. Founded in 1914 and headquartered in McLean, Virginia, the company is known for its deep expertise in defense, intelligence, and civil infrastructure. Today, it plays a central role in national security and government modernization by deploying advanced capabilities in artificial intelligence, digital transformation, and cyber defense.
Sales and Partnership Operations Data Analyst

The Opportunity:

Join Booz Allen as a Sales and Partnership Operations Data Analyst and help strengthen the quality, reliability, and usability of pipeline data across multiple business systems. In this role, you will support near-term pipeline data hygiene while developing a deep understanding of how pipeline information moves across CRM, PRM, and sales operations sources. You’ll help reconcile data from multiple sources, identify gaps and inconsistencies, and support the development of a more trusted pipeline source of truth. Your work will matter, improving data quality, enabling stronger pipeline visibility, improving partnership operations workflows, and helping teams make better decisions through clearer reporting and dashboarding. This role is ideal for someone who is detail-oriented, comfortable with hands-on data cleanup, and able to think ahead about scalable data flows, workflows, models, and reporting solutions. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You’ll Work On:

  • Analyze pipeline data across multiple CRM, PRM, and sales operations sources to identify inconsistencies, duplication, gaps, and data quality issues.

  • Support recurring pipeline data hygiene efforts, including manual validation, cleanup, reconciliation, and documentation.

  • Develop a detailed understanding of pipeline data definitions, business rules, ownership, and source-system differences.

  • Document data flows, field mappings, assumptions, and recurring data quality issues to support a pipeline source of truth.

  • Develop documentation and communications for end-users.

  • Conduct user acceptance testing of system enhancements.

  • Work closely with internal customers to manage licensing, provide training and guidance on pipeline and relationship tracking best practices, maintain documentation, and solve end-user inquiries.

  • Partner with sales and partnership operations and cross-functional stakeholders to clarify reporting needs and improve confidence in pipeline data.

  • Build and maintain dashboards or reports that bring pipeline data together and improve visibility into business performance.

  • Recommend practical improvements to data processes, data architecture, and dashboard design based on observed data issues.

  • Translate business questions into data analysis, reporting requirements, and actionable insights.

  • Communicate findings, risks, and recommended next steps to business and technical stakeholders.

Join us. The world can’t wait.

You Have:

  • 3+ years of experiencewith data analysis, sales operations, revenue operations, and pipeline operations

  • Experienceanalyzing and reconciling data across CRM, sales, or business operations systems

  • Experienceperforming data validation, data cleanup, and data quality analysis

  • Experiencebuilding dashboards, reports, or data models for pipeline, sales, or business performance reporting

  • Knowledge ofCRM data structures, pipeline stages, opportunity data, or sales forecasting processes

  • Ability todocument standard operating procedures, data flows, business rules, assumptions, and source-system logic

  • Ability tocommunicate data findings and data quality issues to business stakeholders

  • Bachelor’s degree

Nice If You Have:

  • Experiencewith Salesforce or CRM reporting

  • Experiencesupporting sales, partnerships, or go-to-market operations teams

  • Experiencedeveloping dashboards that combine data from multiple systems

  • Knowledge ofdata architecture, data modeling, ETL concepts, or source-to-target mapping

  • Knowledge ofdata governance, data dictionaries, master data concepts, or source-of-truth design

  • Ability tooperate independently while balancing recurring data cleanup with longer-term process improvement

  • Possession ofexcellent detail-oriented, critical thinking, and follow-through skills

  • Possession ofexcellent written and verbal communication skills

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 $62,000.00 to $141,000.00 (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 virtually 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.

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