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Lead Data Analytics and Reporting India Jobs (On-site work)

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Finance & Strategy Analyst
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India , Bengaluru
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Parking Network B.V.
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Non-Trading Market Risk Management, Vice President
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India , Mumbai
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Citi
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R&D Learning Enablement Specialist
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India , Hyderabad
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Amgen
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Business Data Analyst - Capital Market
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India , Pune
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Citi
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Head - HR Service Enablement & Governance
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India , Hyderabad
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Amgen
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Manager Sales
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India , Bangalore
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Kennametal
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Senior Manager Revenue Operations
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India , Gurugram
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ATOSS Software SE
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Senior Manager Benefits
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India , Hyderabad
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Amgen
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Business Performance Manager
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India , Hyderabad
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Amgen
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Principal Scientist – Synthetic Separations
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India , Hyderabad
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Amgen
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SAP FICO Lead Functional Analyst
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India , Noida
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Sopra Steria
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Senior QA Engineer
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India , Chennai; Pune
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Citi
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End Point Security Module Lead
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India , Bengaluru
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Sopra Steria
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Lead Demand Planner Analyst
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India , Gurugram
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Circle K
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Engineering Lead Analyst
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India , Chennai; Pune
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Citi
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API Business Analyst
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India , Pune; Chennai
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Citi
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Fullstack Developer
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India , Pune
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Citi
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Project Manager
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India , Pune
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Citi
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AVP - Wholesale Credit Risk Product Developer
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India , Mumbai
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Citi
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Applications Development Appian Developer
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India , Pune
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Citi
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Lead Data Analytics and Reporting jobs represent a critical senior-level function at the intersection of data management, strategic insight, and business leadership. Professionals in this role are not just data experts; they are strategic partners who translate complex data into actionable intelligence that drives an organization's most important decisions. They are responsible for the entire data-to-insight lifecycle, ensuring that data assets are accurate, reliable, and effectively communicated to stakeholders. A Lead Data Analytics and Reporting professional typically oversees the design, development, and implementation of an organization's reporting and analytics framework. Their common responsibilities are multifaceted. A core duty involves establishing and enforcing robust data governance and data quality standards. This includes designing and monitoring data quality rules, conducting root cause analysis for data issues, and ensuring compliance with internal data policies and external regulatory requirements. They lead the creation of complex reports, dashboards, and scorecards that provide a clear view of business performance, risks, and opportunities. This goes beyond simple reporting; they use advanced analytical techniques to identify trends, patterns, and insights that would otherwise remain hidden. Furthermore, they often manage projects and reengineering efforts aimed at improving data processes and methodologies, and they act as a coach or advisor to junior analysts, fostering a data-literate culture. The typical skill set for these jobs is a blend of deep technical expertise and strong business acumen. Technical proficiency is a must, with common requirements including advanced SQL for data extraction and manipulation, programming languages like Python or R for statistical analysis and automation, and expertise in data visualization tools such as Tableau, Power BI, or Qlik to create compelling reports. A comprehensive understanding of data governance frameworks and data quality methodologies is essential. From a business perspective, they must possess exceptional strategic thinking and problem-solving abilities to tackle complex business challenges. Influential communication skills are paramount, as they must convey sophisticated data findings in a clear and impactful way to both technical teams and non-technical executives. Strong project management and collaboration skills are also critical, as they frequently partner with business units, technology teams, and senior leadership. Candidates exploring Lead Data Analytics and Reporting jobs will generally find that employers seek individuals with a bachelor's or master's degree in a quantitative field and a significant track record of experience, often 6-10 years, in progressively responsible data-centric roles. This profession is ideal for those who are not only passionate about data but also about leading, influencing strategy, and delivering tangible business value through informed, data-driven decision-making.

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