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Data Analyst with 2+ years in Data Pipelines & Business Intelligence
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Assessing your cultural and operational fit
Experienced Data Analyst with a strong background in developing and maintaining enterprise data pipelines, automating MIS reports, and designing KPI solutions. Proficient in SQL, Power BI, and ETL workflows, with a proven track record of improving data availability, reducing manual reporting effort, and enhancing decision-making speed. Skilled in data modeling, quality validation, and performance tuning, delivering robust business intelligence solutions.
Tilak College
Bachelor of Science · Computer Science
N/A – June 30, 2023
NTT Data Centre
Data Analyst
September 1, 2023 – April 1, 2026
Mumbai, Maharashtra, India
Enterprise MIS & Executive Reporting Dashboard
June 25, 2026 – Present
• Developed Power BI dashboards integrating data from multiple operational systems, enabling leadership teams to monitor KPIs, operational performance, and service metrics in real time. • Reduced manual MIS preparation effort by 65% and improved reporting accuracy through automated refresh and validation controls.
Data Warehouse & Reporting Automation Framework
June 25, 2026 – Present
• Designed ETL pipelines and centralized reporting datasets using SQL Server and Data Warehouse principles to support enterprise-wide reporting requirements. • Improved report delivery turnaround time by 50% and enhanced data consistency across multiple business functions.
Cultural Fit Analysis
The candidate's experience in a professional setting at NTT Data Centre, coupled with projects focused on enterprise-wide reporting and data warehousing, indicates a good fit for structured, data-driven environments. Their collaboration with cross-functional teams and emphasis on governance and compliance align with a culture that values teamwork, data integrity, and robust reporting. The breadth of skills across BI, ETL, databases, and cloud platforms suggests adaptability and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong stakeholder communication and collaboration skills, as evidenced by their experience in gathering requirements and delivering business intelligence solutions. Their focus on reducing manual effort and improving reporting accuracy suggests an operational mindset geared towards efficiency and data governance. The project descriptions highlight a results-oriented approach, improving decision-making speed and data consistency.