{"id":2558218,"url":"https://alion.io/job/ares-management-data-analyst-finance-technology","title":"Data Analyst, Finance Technology","company":{"id":704273,"name":"Ares Management","domain":"aresmgmt.com","url":"https://alion.io/company/ares-management","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":30000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1562},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-15T01:53:36Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.\nJob Description\nPRIMARY FUNCTIONS & RESPONSIBILITIES\nBusiness process and data understanding\nDevelop a detailed understanding of how Fund Accounting data is created, enriched, transformed, reviewed, reconciled, approved, and consumed.\nWork with Fund Accounting, Data Governance, and Data Product Management to define business problems, intended outcomes, priorities, users, business rules, data ownership, and acceptance criteria.\nIdentify sources of truth, data owners, business definitions, transformation points, downstream consumers, dependencies, controls, and process handoffs.\nAnalyze current-state processes and data flows to identify manual work, duplicate logic, data issues, control gaps, and standardization opportunities.\nRequirements and business rules\nTranslate Fund Accounting needs into clear business, data, integration, reporting, and broader consumption requirements for the appropriate delivery teams.\nDefine field definitions, measures, calculations, dimensions, filters, hierarchies, business rules, mappings, acceptance criteria, and expected outcomes.\nPartner with Data Governance and Data Product Management on data ownership, definitions, quality expectations, lineage, control requirements, prioritization, and decision records.\nDevelop source-to-target mappings, data dictionaries, process flows, requirements, and traceability artifacts in collaboration with the teams responsible for implementation.\nFrame requirements clearly enough for the Finance Technology Data Solutions Engineer, Enterprise Data Engineering, Centralized Reporting / BI, and application teams to design, build, test, and deliver solutions that meet business objectives.\nData investigation, reconciliation, and testing\nUse SQL and structured analysis to profile data, compare sources, identify anomalies, trace records, quantify breaks, and support root-cause analysis.\nPerform field-level and aggregate analysis to distinguish source, transformation, reference-data, integration, and reporting issues.\nPartner with Fund Accounting, Data Governance, Data Product Management, engineering, and reporting teams to define validation rules, tolerances, exception categories, ownership, and remediation expectations.\nDevelop and execute reconciliation, integration, regression, edge-case, reporting, and production-validation test scenarios as part of the broader delivery team.\nCreate repeatable queries and validation packs that can be reused by the broader team.\nReporting and broader data consumption requirements\nUnderstand the business question, intended consumers, decisions supported, frequency, level of detail, and delivery channel for each consumption need.\nDefine requirements for dashboards, reports, extracts, downstream applications, operational workflows, analytics, and other ways Fund Accounting consumes data and derives value from it.\nIdentify governed sources of truth and document measures, calculations, dimensions, filters, business rules, refresh expectations, control expectations, reconciliation needs, and validation criteria.\nConvey agreed business requirements to Centralized Reporting / BI, which owns the technical build and delivery of scalable dashboards and reporting solutions using governed data.\nCoordinate Fund Accounting review, business validation, UAT, release readiness, and post-production validation for reporting and other consumption solutions.\nDelivery and stakeholder partnership\nAct as the bridge between Fund Accounting business teams and Finance Technology while preserving important business and technical detail.\nCoordinate with Data Product Management, Data Governance, the Finance Technology Data Solutions Engineer, Enterprise Data Engineering, Centralized Reporting / BI, application teams, and delivery partners throughout the delivery lifecycle.\nMaintain traceability from the original business problem through requirements, design, testing, release, and validation of the delivered outcome.\nCommunicate issues clearly, including affected users and data, business impact, evidence, decisions needed, and recommended next steps.\nHelp convert recurring manual investigation into prioritized backlog items and governed, reusable, scalable data or consumption solutions.\nQUALIFICATIONS\nEducation: Bachelor's degree in Finance, Accounting, Information Systems, Computer Science, Engineering, Data Analytics, or a related discipline. Equivalent relevant experience will be considered.\nExperience Required: 3 to 8 years in a technical data analyst, data-focused business analyst, financial data, accounting technology, or similar role in a controlled enterprise environment.\nMust-have capabilities\nStrong SQL for profiling, joins, aggregations, reconciliation, anomaly detection, and root-cause analysis, preferably in SQL Server.\nAdvanced Excel for structured analysis, including lookups, pivots, formulas, comparisons, and controlled validation workbooks.\nExperience defining business, data, reporting, and consumption requirements; mappings; measures; calculations; business rules; acceptance criteria; and test cases.\nHands-on data-quality analysis, reconciliation, defect investigation, testing, business validation, and UAT.\nAbility to understand data models, ETL/ELT flows, APIs or file interfaces, reporting layers, and dependencies across source, data, and consumption layers.\nAbility to work effectively with Fund Accounting, Data Product Management, Data Governance, Finance Technology engineering, Enterprise Data Engineering, Centralized Reporting / BI, and application teams.\nStrongly preferred\nDatabricks, Python, PySpark, Power BI, Microsoft Fabric, Azure data services, or similar platforms.\nFund Accounting, asset management, investor data, fund administrator, financial reporting, or investment operations experience.\nWorking knowledge of accounting balances, transactions, capital activity, reference data, hierarchies, controls, and period-end processes.\nExperience defining requirements for dashboards, reports, extracts, downstream applications, operational workflows, or analytics.\nExposure to delivery tooling, structured defect triage, release management, lineage, metadata, governance, and auditability concepts.\nHow success will be measured\nBusiness, data, reporting, and consumption requirements are clear, complete, testable, and aligned to business objectives.\nData issues are identified and resolved faster through repeatable analysis, clear evidence, and coordinated ownership.\nReconciliation, testing, business validation, and UAT produce reliable delivery outcomes.\nFund Accounting consumption needs are translated into governed, scalable solutions delivered through the appropriate Finance Technology, enterprise data, reporting, or application team.\nStrong collaboration, traceability, and handoffs are established across the broader data and reporting operating model.\nReporting Relationships\nThere is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.","description_format":"text","description_chars":7602,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business & SME Lending","Private Equity","Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-10-14T19:51:17Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.679,"p_room":0.55,"age_days":28,"expected_fill_days":24,"reasons":["conf:3","win:tail","comp:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ares-management-data-analyst-finance-technology","json_url":"https://alion.io/job/ares-management-data-analyst-finance-technology.json","meta":{"generated_at":"2026-10-15T20:08:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30617,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":704273},"rest":"https://alion.io/mcp/rest/get_company?id=704273"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fares-management-data-analyst-finance-technology"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fares-management-data-analyst-finance-technology"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fares-management-data-analyst-finance-technology"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ares-management-data-analyst-finance-technology\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fares-management-data-analyst-finance-technology"}]}