Experience
8 - 13 yrs
Salary (CTC)
₹4.9L - ₹7.3L
Job Location
Gurugram, India
Vacancy
1
Designation
Data Analyst
Job Type
Not specified
Job Description
Job_Description
Senior Data Analyst - Data Platform
Senior Data Analyst - Data Platform
Discipline: Data Analytics
Location: Gurugram)
Shift Time - 12 PM to 8:30 PM IST
Role Summary
As a Senior Data Analyst, you will play a critical role in supporting Asia data modernization, IBOR/ABOR initiatives, and enterprise analytics. You will partner closely with Investment, Finance, Risk, and Technology teams to analyze complex datasets, define data requirements, and translate business needs into well \u2011 governed, analytics \u2011 ready data products.
This is a senior, business \u2011 facing analytics role, requiring strong domain knowledge in asset management, a solid understanding of investment data (transactions, positions, valuations), and the ability to engage confidently with senior stakeholders. You will help replicate and extend key skill sets currently anchored in the team, enabling continuity and scale for Asia \u2011 focused initiatives.
Your objective is to improve decision \u2011 making, data transparency, and operational efficiency by ensuring high \u2011 quality, reconciled, and well \u2011 understood data is available for reporting, analytics, and regulatory use cases.
Key Accountabilities
Investment Data Analysis
Analyze and interpret complex investment and accounting datasets (transactions, positions, cash, valuations) across asset classes.
Support Asia IBOR and ABOR initiatives, including data reconciliation, validation, and readiness for downstream reporting.
Partner with investment stakeholders to understand workflows, pain points, and analytical needs.
Data Requirements Governance
Define and document data requirements, business rules, and analytical logic for enterprise data products.
Contribute to data governance artifacts, including data dictionaries, lineage, and quality checks.
Work closely with Business Team, Data Platform and Engineering teams to ensure analytical requirements are accurately implemented.
Cross \u2011 Functional Collaboration
Act as a bridge between business users and technical teams, translating analytical needs into clear, actionable inputs.
Collaborate with Data Engineers, BI developers, and Product Owners to support self \u2011 serve analytics and standardized reporting.
Participate in requirements elicitation, backlog refinement, and solution reviews.
Reporting Insights
Support and validate datasets used in Power BI and enterprise reporting.
Perform root \u2011 cause analysis, reconciliations, and exception reviews to ensure data accuracy and completeness.
Enable power users with clear, trusted data for decision \u2011 making.
Competencies / Qualifications
8+ years of experience in data analytics within asset management, investment operations, or financial services .
Strong understanding of investment data domains including:
Trades / Transactions
Positions holdings
Valuations, cash flows, and accounting data (IBOR / ABOR concepts)
CFA designation preferred, or currently pursuing CFA.
Experience working with front