This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst based in India.
This is an opportunity to work with large-scale financial datasets in a quick-moving, data-driven environment.
You will help ensure the accuracy, consistency, and reliability of data used by institutional investment teams.
The role combines hands-on analysis with data quality, validation, reconciliation, and monitoring activities.
You will use SQL and Python to investigate issues, automate processes, and generate meaningful insights.
You will also create dashboards and reports that help stakeholders understand complex financial information.
Working across teams, you will contribute to scalable data processes supporting millions of data points and diverse global sources.
The position offers the chance to deepen your expertise in analytics, financial data, and big-data environments.
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Accountabilities:
Manage, analyze, and monitor large volumes of daily financial data, ensuring accuracy, consistency, and completeness.




Design, implement, and continuously improve data quality, validation, reconciliation, and monitoring frameworks.
Investigate and resolve Level 1 and Level 2 data quality issues, escalating more complex cases to specialized data teams when required.
Use advanced SQL and Python for data analysis, scripting, troubleshooting, and process improvement.
Build and maintain dashboards and reports that translate complex datasets into actionable business insights.
Apply statistical techniques to identify anomalies, monitor data accuracy, and strengthen data quality controls.
Work with large-scale datasets exceeding 100TB and covering more than 100,000 global companies.
Collaborate with internal teams and external stakeholders to understand data requirements, communicate findings, and share analytical insights.
Work with data originating from multiple and diverse sources while maintaining robust and scalable

📌 Data Analyst (India)
🏢 Jobgether
📍 India