{"id":4291272,"url":"https://alion.io/job/atlas-systems-p1-gp-business-analysts-program-manager","title":"P1 - GP - Business Analysts / Program Manager","company":{"id":2282715,"name":"Atlas Systems •","domain":"atlassystems.com","url":"https://alion.io/company/atlassystems","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Jira","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-11-13T23:21:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T23:21:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Business Analysts / Program Manager\nPlease click here to apply for this position\nhttps://atlas.bamboohr.com/careers/639\nAbout the Team\nThe Business Technology group sits at the intersection of data engineering, analytics development, and stakeholder communication across the organization. We work daily with operating and investing professionals to build valuable insights.\nWe are modernizing our portfolio data platform, building a new, business-aligned data layer in Databricks that will be the shared source for the firm’s internal applications, data marts, reporting, and AI tools.\nRole Summary\nWe’re looking for a Business Analyst to be the requirements owner between our data warehouse team and the applications and reporting teams that consume its data. You’ll define what the Databricks data model needs to deliver, and you’ll be the day-to-day point of contact for downstream application, data mart, and reporting teams, making sure their questions, testing feedback, and change requests are tracked and resolved.\nThis is a hands-on analyst role on a high-visibility migration. It’s a strong fit for someone who is comfortable reading data, writing precise requirements, and keeping several stakeholder groups aligned on one shared model.\nWhat You’ll Do\nData warehouse requirements and modeling\nGather and document requirements for the Databricks gold layer, translating what downstream applications and reporting teams need into clear specs for data modelers and engineers\nWork field by field with Portfolio Analytics and other business owners to define metrics, grain, and logic (e.g., FinOps/financial metrics, valuations, cash flows, LTM and monthly/quarterly periods)\nHelp define which calculations belong in the shared calculation layer versus in each consuming application, so logic isn’t duplicated\nDocument data mappings from source systems to the new business-aligned model, including legacy historical data\nMaintain data dictionaries, source-to-target mappings, and transformation documentation for each layer (bronze, silver, gold)\nEnd-user partnership\nAct as the main point of contact for consuming teams on questions about the new model\nRun a clear intake and triage process for questions, defects, and change requests, and drive each to resolution\nCoordinate incremental delivery by module (e.g., FinOps, valuations, cash flows) so each team knows what data is ready and when\nTrack open decisions and dependencies across the data warehouse, application, and reporting teams\nDelivery, testing, and reconciliation\nTranslate requirements into well-structured GitHub issues (user stories, bugs, research items) and maintain workstream boards\nWrite acceptance criteria and partner with QA on test plans, UAT cycles, and sign-off before releases\nCollect and consolidate testing feedback from end users, and confirm fixes are validated\nSupport reconciliation between legacy and new data sources during parallel runs, flagging divergence on key data points\nPrepare status updates, meeting notes, and lightweight reporting for stakeholders and leadership\nWhat We’re Looking For\nRequired\n4+ years as a business analyst, data analyst, or product owner on data warehouse, data platform, or BI projects\nExperience writing requirements for data models: defining entities, grain, keys, relationships, and business rules\nStrong SQL skills; comfortable querying and profiling data to answer questions and validate results yourself\nWorking knowledge of dimensional modeling (facts and dimensions) and layered architectures (e.g., bronze/silver/gold)\nExperience coordinating testing and UAT with end users and QA teams\nStrong written and verbal communication; able to explain data issues to both engineers and business users\nHighly organized and detail-oriented, comfortable managing many open questions across several teams at once\nNice to Have\nHands-on experience with Databricks, Microsoft Fabric, or a similar lakehouse platform\nExperience on a system migration or platform replacement, including parallel runs and reconciliation\nFamiliarity with Power BI semantic models or other BI tools\nExposure to portfolio monitoring platforms or fund accounting systems\nKnowledge of private equity and fund reporting concepts (e.g., NAV, IRR, MOIC, valuations, cash flows)\nExperience with GitHub, Azure DevOps, Jira, or similar tools\nPrior experience working with offshore or external development and QA teams\nBachelor’s degree in Business, Data Science, Information Systems, Finance, or a related field\nWhy Join\nA central role in a firm-wide platform migration, with direct visibility to technology leadership\nShape a shared data model that will underpin deal monitoring, reporting, and AI tools across the firm\nDirect exposure to private equity data and enterprise-scale data and BI delivery\nA collaborative, fast-paced team culture that values ownership and continuous improvement\n\nLocation: New York, NY or Remote | Reports to: 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