Role: Data Quality Analyst

Skills Required:

- Strong knowledge of investment domain
- Trades, securities, portfolios, pricing, Reporting
- Ability to interpret financial data and reports
- Solid communication and stakeholder management skills
- Experience working with data teams / analytics teams
- Advanced SQL / Snowflake expertise
- Strong understanding of data pipelines and architecture
- Experience in data reconciliation and cross-system validation
- Ability to handle multi-team coordination

- Strong understanding of trade lifecycle (trade processing reporting)
- Knowledge of securities & identifiers (CUSIP, ISIN, ratings, attributes)
- Familiarity with portfolio/position concepts and aggregation logic
- Understanding of key financial metrics (yield, spread, duration, price,market value, performance, Profit/Loss)
- Ability to perform data reconciliation across systems (Aladdin, Snowflake, reports)




- Awareness of investment data flows and reporting impact on business users

Job Overview

The Business Data Analyst will act as the bridge between business stakeholders and the data support team, bringing deep investment domain expertise to interpret and prioritize data quality issues.

Key Responsibilities

- Engage with business users to understand data issues and impact
- Interpret investment data discrepancies (trades, securities, portfolios)
- Support prioritization and SLA alignment
- Translate business problems into technical investigation inputs
- Validate outputs and ensure business acceptance
- Provide domain guidance to data analysts
- Support complex issue resolution and escalation discussions

📌 Data Quality Analyst (Hyderabad)
🏢 Trianz
📍 Hyderabad