{"id":3232212,"url":"https://alion.io/job/booz-allen-hamilton-data-analyst-mid-7","title":"Data Analyst, Mid","company":{"id":244,"name":"Booz Allen Hamilton","domain":"boozallen.com","url":"https://alion.io/company/booz-allen","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":170,"ghost_share":0,"stale_share":0.576,"repost_share":0.024,"time_to_fill_p50_days":30,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wharton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":62000,"max":141000,"currency":"USD","period":"year","gross":null,"usd_annual":141000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power Automate","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Machine Learning","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-31T02:33:22Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Data Analyst, MidThe Opportunity:\nAs data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a Data Analyst at Booz Allen, you can use your skills and experienceto support a mission and use data for good.\nAs a client-facing Data Analyst on our team, you’ll work with data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, but you’ll also provide recommendations on what the information means and how it can be used to make an impact on strategic engagements, process improvement, visualization, and analysis.\nJoin us. The world can’t wait.\nYou Have:\nExperience building interactive dashboards, reports, and data models\nExperience with data exploration, data cleaning, data visualization, and predictive modeling\nExperience using Microsoft Power Platform Tools such as Power Automate\nExperience with Python, including Pandas, NumPy, API integration, SQL, ETL, and ELT\nAbility to brief senior leaders\nAbility to conduct quantitative and qualitative analysis of data to identify trends, patterns, correlations, and gaps over time\nAbility to build and maintain data pipelines and connectors to automate recurring data ingestion\nAbility to obtain a Secret clearance\nBachelor's degree\nNice If You Have:\nExperience building internal analytics platforms and data products\nExperience translating leadership priorities and assessment requirements into analytic products \nExperience with Databricks or PySpark\nKnowledge of application architecture design\nKnowledge of machine learning, including classification, clustering, and evaluation metrics\nClearance:\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.\nCompensation\nAt 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.\nSalary 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\nAs 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.\nCandidate AI Usage Policy\nAI 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.\nWork Model\nOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.\nRemote: 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.\nHybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.\nOnsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.\nCommitment to Non-Discrimination\nAll 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 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