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 fast-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.

• 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 analytical processes.

Requirements:

• Bachelor’s degree in BCA, MCA, Engineering, or a related quantitative/technical discipline.
• Strong understanding of data quality, validation, reconciliation, and data monitoring concepts.
• Advanced SQL skills, including complex queries, joins, and query performance optimization.
• Proficiency in Python for data analysis, scripting, and analytical problem-solving.
• Experience with dashboarding and reporting tools and the ability to present data clearly.
• Ability to work effectively with large-scale or big-data environments and complex datasets.
• Working knowledge of statistics, particularly for data validation, monitoring, and anomaly detection.
• Strong communication and stakeholder management skills, with the ability to explain analytical findings to different audiences.
• Experience working with data from multiple sources and identifying inconsistencies or quality issues.
• A CGPA of 8.0 or above is expected.
• Previous experience in Finance or FinTech is preferred, while direct exposure to financial datasets is an advantage.

Benefits:

• Remote work opportunity, with the role also open to candidates based in Coimbatore or Bangalore.
• Opportunity to work with large-scale financial and institutional investment datasets.
• Exposure to advanced data quality, analytics, and big-data environments.
• Opportunity to strengthen expertise in SQL, Python, statistics, dashboards, and financial data.
• Cross-functional collaboration with data-focused and business stakeholders.
• Growth opportunity within a fast-paced, technology-driven environment.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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