Data Analyst

DATAECONOMY Inc; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

DATAECONOMY Inc is looking for a skilled data analyst based in Gurugram, India. The role involves analyzing complex datasets within financial services, supporting IBOR and ABOR initiatives, and collaborating across teams for effective data handling.

The ideal candidate should have over 8 years of experience, strong skills in Excel, SQL, and Python, and a bachelor’s or master’s degree in relevant fields, with a CFA designation preferred.

Qualifications

• 8+ years of experience in data analytics within asset management or financial services.
• Strong understanding of investment data domains including trades, positions, and valuations.
• CFA designation preferred or currently pursuing it.

Responsibilities

• Analyze complex investment datasets across asset classes.
• Support Asia IBOR and ABOR initiatives including data reconciliation.
• Act as a bridge between business users and technical teams.

Skills

Data analytics

Excel

SQL

Python

Power BI

Tableau

Data governance

Communication

Education

Bachelor’s or master’s degree in Finance

Computer Science

Engineering

Tools

Snowflake

Job description

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

Key Accountabilities

• 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-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-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-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, 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-office, middle-office, 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/LLM-based 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 non-technical stakeholders.
• Bachelor’s or master’s degree in Finance, Engineering, Computer Science, or a related field.