Associate, Finance Technology Data Analyst

Ares Management; Mumbai; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

Ares Management in Mumbai seeks a data-focused professional to bridge Fund Accounting and Finance Technology, transforming data into trusted insights. You will drive requirements, data definitions, and validation, enabling clear ownership and governance across teams.

As a key contributor, you will ensure traceability from initial problem to delivered solutions, partnering with data engineers, governance, and BI to support reporting and analytics for decision making.

Qualifications

• Bachelor's degree required or equivalent experience.
• Strong ability to translate business needs into data requirements.
• Experience with data governance and data product collaboration is a plus.

Responsibilities

• Understand how Fund Accounting data is created, enriched, transformed, reviewed, reconciled, approved, and consumed.
• Collaborate with Data Governance and Data Product Management on definitions, ownership, and quality expectations.
• Define data needs, mappings, rules, and acceptance criteria for delivery teams.

Skills

SQL

Data analysis

Education

Bachelor's degree in Finance/Accounting/IS/CS/Engineering/Data Analytics

Job 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.

Job Description

PRIMARY FUNCTIONS & RESPONSIBILITIES

Business process and data understanding

• Develop a detailed understanding of how Fund Accounting data is created, enriched, transformed, reviewed, reconciled, approved, and consumed.
• Work with Fund Accounting, Data Governance, and Data Product Management to define business problems, intended outcomes, priorities, users, business rules, data ownership, and acceptance criteria.
• Identify sources of truth, data owners, business definitions, transformation points, downstream consumers, dependencies, controls, and process handoffs.
• Analyze current-state processes and data flows to identify manual work, duplicate logic, data issues, control gaps, and standardization opportunities.

Requirements and business rules

• Translate Fund Accounting needs into clear business, data, integration, reporting, and broader consumption requirements for the appropriate delivery teams.
• Define field definitions, measures, calculations, dimensions, filters, hierarchies, business rules, mappings, acceptance criteria, and expected outcomes.
• Partner with Data Governance and Data Product Management on data ownership, definitions, quality expectations, lineage, control requirements, prioritization, and decision records.
• Develop source-to-target mappings, data dictionaries, process flows, requirements, and traceability artifacts in collaboration with the teams responsible for implementation.
• Frame 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.

Data investigation, reconciliation, and testing

• Use SQL and structured analysis to profile data, compare sources, identify anomalies, trace records, quantify breaks, and support root-cause analysis.
• Perform field-level and aggregate analysis to distinguish source, transformation, reference-data, integration, and reporting issues.
• Partner with Fund Accounting, Data Governance, Data Product Management, engineering, and reporting teams to define validation rules, tolerances, exception categories, ownership, and remediation expectations.
• Develop and execute reconciliation, integration, regression, edge-case, reporting, and production-validation test scenarios as part of the broader delivery team.
• Create repeatable queries and validation packs that can be reused by the broader team.

Reporting and broader data consumption requirements

• Understand the business question, intended consumers, decisions supported, frequency, level of detail, and delivery channel for each consumption need.
• Define requirements for dashboards, reports, extracts, downstream applications, operational workflows, analytics, and other ways Fund Accounting consumes data and derives value from it.
• Identify governed sources of truth and document measures, calculations, dimensions, filters, business rules, refresh expectations, control expectations, reconciliation needs, and validation criteria.
• Convey agreed business requirements to Centralized Reporting / BI, which owns the technical build and delivery of scalable dashboards and reporting solutions using governed data.
• Coordinate Fund Accounting review, business validation, UAT, release readiness, and post-production validation for reporting and other consumption solutions.

Delivery and stakeholder partnership

• Act as the bridge between Fund Accounting business teams and Finance Technology while preserving important business and technical detail.
• Coordinate 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.
• Maintain traceability from the original business problem through requirements, design, testing, release, and validation of the delivered outcome.
• Communicate issues clearly, including affected users and data, business impact, evidence, decisions needed, and recommended next steps.
• Help convert recurring manual investigation into prioritized backlog items and governed, reusable, scalable data or consumption solutions.

QUALIFICATIONS

• Education: Bachelor's degree in Finance, Accounting, Information Systems, Computer Science, Engineering, Data Analytics, or a related discipline. Equivalent relevant experience wi