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Lead Data Senior Analyst India Jobs

110 Job Offers

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Senior Data Engineer
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India , Hyderabad
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Randstad
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Senior Data Scientist
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India , Hyderabad
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Amgen
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Senior Data Scientist
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India , Bengaluru
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ADM
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Senior HR Data Analyst
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India , Hyderabad
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ADB Safegate
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Senior Data Warehouse Administrator
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India , Pune
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FloQast
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Technology Product Management Senior Analyst
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India , Chennai; Pune
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Citi
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Quantitative Lead Analyst
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India , Mumbai
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Citi
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Snowflake - Senior Technical Lead
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India , Noida; Bangalore
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Sopra Steria
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Data Analytics Senior Analyst
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India , Pune
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Citi
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Data Analytics Senior Analyst
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India , Pune
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Citi
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Senior Data Science Analyst
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India , Chennai
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Citi
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Data Analytics Senior Analyst
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India , Chennai
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Citi
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Senior Business Analyst
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India , Pune
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Citi
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Data Analytics Senior Analyst
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India , Pune
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Citi
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Lead Data Scientist
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India , Pune
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Citi
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Scorecard Design and Management Lead Analyst
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India , Pune
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Citi
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Scorecard Design and Management Lead Analyst
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India , Pune
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Citi
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Enterprise Risk Sr. Data Analyst
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India , Mumbai; Pune
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Citi
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Data Analytics Senior Analyst
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India , Pune
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Citi
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Fin Solutions Lead Analyst (VP)
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India , Mumbai
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Citi
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Pursuing Lead Data Senior Analyst jobs places you at the strategic apex of the data world, a role that transcends basic data interpretation to focus on governance, quality, and strategic influence. These professionals are not just analysts; they are senior leaders and subject matter experts who architect the frameworks that ensure an organization's data is accurate, secure, trustworthy, and used ethically. They bridge the gap between raw data and executive-level decision-making, transforming data from a simple asset into a reliable foundation for business strategy and compliance. Individuals in these roles typically shoulder a broad and critical set of responsibilities. A primary function is leading the development, implementation, and ongoing management of data governance and data quality management programs. This involves defining data policies, establishing data ownership, and creating a robust control framework to mitigate data-related risks. They act as the central point for data governance activities, collaborating with business units, IT, and legal teams to ensure company-wide adherence to data standards. Furthermore, Lead Data Senior Analysts are often responsible for managing the lifecycle of data quality issues, from identification and triage to driving remediation efforts with stakeholders. They design and monitor key metrics and reporting to provide a clear picture of data health and governance effectiveness to senior leadership. In specialized roles like data privacy, they ensure compliance with global regulations by conducting privacy impact assessments and managing data subject requests. The typical skill set required for Lead Data Senior Analyst jobs is a blend of deep technical knowledge, strategic thinking, and exceptional soft skills. A strong foundation in data management principles, including data governance frameworks, data quality tools, and data lineage, is essential. They must possess a keen understanding of risk and control frameworks, often within a regulatory context. From a strategic perspective, they need excellent analytical and problem-solving abilities to diagnose complex data issues and architect sustainable solutions. However, the "lead" and "senior" aspects of the title highlight the critical importance of leadership and communication. These professionals must excel in stakeholder management, negotiation, and influence, as their role requires guiding diverse teams and driving organizational change without direct authority. They are effective communicators who can translate complex data concepts into clear business implications for executives. Typically, a candidate for these senior positions is expected to have 8-10+ years of progressive experience in data management, governance, quality, or a related control function like risk or compliance. Ultimately, securing one of these high-impact Lead Data Senior Analyst jobs means stepping into a role that is fundamental to a modern, data-driven organization. You become the guardian of data integrity, the architect of data policy, and a key advisor on how to leverage data responsibly and effectively to achieve business objectives while maintaining regulatory compliance and building customer trust.

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