Data Analyst

DATAECONOMY Inc; Gurgaon; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

DATAECONOMY Inc. seeks a Senior Data Analyst to support Asia data modernization, IBOR/ABOR initiatives, and enterprise analytics.

You will partner with Investment, Finance, Risk and Technology teams to analyze datasets, define data requirements, and translate business needs into well-governed, analytics-ready data products. The role requires strong domain knowledge in asset management, data governance, and experience communicating with senior stakeholders to enable high-quality decisions and

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).
• Experience with front-office, middle-office, or finance stakeholders.
• Experience with Excel, SQL, Python; Snowflake or similar data platforms.
• Familiarity with Power BI or Tableau; data reconciliation and governance frameworks.

Responsibilities

• Analyse complex investment and accounting datasets across asset classes.
• Support IBOR/ABOR data reconciliation and readiness for reporting.
• Collaborate with business and technical teams to enable self-serve analytics and standardized reporting.

Skills

Excel

SQL

Python

Communication skills

Education

Bachelor’s or Master’s in Finance/Engineering/CS

CFA designation preferred

Tools

Snowflake

Power BI

Tableau

Job description

Gurgaon Kty., India | Posted on 06/22/2026

As a Senior Data Analyst, you will play a critical role insupporting Asia data modernization, IBOR/ABOR initiatives, and enterpriseanalytics. You will partner closely with Investment, Finance, Risk, andTechnology teams to analyze complex datasets, define data requirements, andtranslate business needs into well ‑ governed, analytics ‑ ready data products.

This is a senior, business ‑ facing analytics role,requiring strong domain knowledge in asset management, a solid understanding ofinvestment data (transactions, positions, valuations), and the ability toengage confidently with senior stakeholders. You will help replicate and extendkey skill sets currently anchored in the team, enabling continuity and scalefor Asia ‑ focused initiatives.

Your objective is to improve decision ‑ making, data transparency, and operational efficiency by ensuringhigh ‑ quality, reconciled, and well ‑ understood data isavailable 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 IBORand ABOR initiatives, including data reconciliation, validation, andreadiness for downstream reporting.

Partner with investment stakeholders to understand workflows, painpoints, and analytical needs.

Data Requirements & Governance

Define and document data requirements, business rules, andanalytical logic for enterprise data products.

Contribute to data governance artifacts, including datadictionaries, lineage, and quality checks.

Work closely with Business Team, Data Platform and Engineeringteams to ensure analytical requirements are accurately implemented.

Cross ‑ 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 Ownersto support self ‑ serve analytics and standardizedreporting.

Participate in requirements elicitation, backlog refinement, andsolution reviews.

Reporting & Insights

Support and validate datasets used in Power BI and enterprisereporting.

Perform root ‑ cause analysis, reconciliations,and exception reviews to ensure data accuracy and completeness.

Enable power users with clear, trusted data for decision ‑ making.

Competencies /Qualifications

8+ years of experience in data analytics within asset management, investmentoperations, or financial services .

Strong understanding of investment data domains including:

Trades / Transactions

Positions & holdings

Valuations, cash flows, andaccounting data (IBOR / ABOR concepts)

CFA designation preferred, or currently pursuing CFA.

Experience working with front ‑ office, middle ‑ office, or finance stakeholders.

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

Familiarity with Power BI, Tableau, or similar BI tools.

Experience with data reconciliation, data quality checks, andgovernance frameworks.

Exposure to AI/LLM ‑ based data solutions is a plus.

Prior experience with Big4 or similar consulting background is astrong advantage.

Excellent communication skills with the ability to explain complexdata concepts to non ‑ technical stakeholders.

Bachelor’s or master’s degree in Finance, Engineering, ComputerScience, or a related field.

Requirements

Competencies /Qualifications

8+ years of experience in data analytics within asset management, investmentoperations, or financial services .

Strong understanding of investment data domains including:

Trades / Transactions

Positions & holdings

Valuations, cash flows, andaccounting data (IBOR / ABOR concepts)

CFA designation preferred, or currently pursuing CFA.

Experience working with front ‑ office, middle ‑ office, or finance stakeholders.

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

Familiarity with Power BI, Tableau, or similar BI tools.

Experience with data reconciliation, data quality checks, andgovernance frameworks.

Exposure to AI/LLM ‑ based data solutions is a plus.

Prior experience with Big4 or similar consulting background is astrong advantage.

Excellent communication skills with the ability to explain complexdata concepts to non ‑ technical stakeholders.

Bachelor’s or master’s degree in Finance, Engineering, ComputerScience, or a related field.