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 wellgoverned analyticsready data products.

This is a senior businessfacing 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 Asiafocused initiatives.

Your objective is to improve decisionmaking data transparency and operational efficiency by ensuring highquality reconciled and wellunderstood 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.

CrossFunctional 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 selfserve 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 rootcause analysis reconciliations and exception reviews to ensure data accuracy and completeness.

Enable power users with clear trusted data for decisionmaking.

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 frontoffice middleoffice or finance stakeholders.

Strong Excel SQL and Python skills and experience analyzing data in Snowflake or similar data platforms.

Familiarity with Power BI Tableau or similar BI tools.

Experience with data reconciliation data quality checks and governance frameworks.

Exposure to AI/LLMbased data solutions is a plus.

Prior experience with Big4 or similar consulting background is a strong advantage.

Excellent communication skills with the ability to explain complex data concepts to nontechnical stakeholders.

Bachelors or masters degree in Finance Engineering Computer Science or a related field.

Requirements

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 frontoffice middleoffice or finance stakeholders.

Strong Excel SQL and Python skills and experience analyzing data in Snowflake or similar data platforms.

Familiarity with Power BI Tableau or similar BI tools.

Experience with data reconciliation data quality checks and governance frameworks.

Exposure to AI/LLMbased data solutions is a plus.

Prior experience with Big4 or similar consulting background is a strong advantage.

Excellent communication skills with the ability to explain complex data concepts to nontechnical stakeholders.

Bachelors or masters degree in Finance Engineering Computer Science or a related field.

Benefits