Power BI Developer with 10+ years in Data Analytics & Reporting Automation
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Result-driven Business Intelligence Analyst with 8+ years of expertise in Power BI, Data Analytics, and Reporting Automation across Telecom, IT Services, and Global Analytics environments. Proven track record in developing interactive dashboards, optimizing KPIs, automating reports, and delivering actionable insights for business growth and decision-making. Skilled in data modeling, DAX, Power Query, and ETL processes with hands-on experience in SAP Busine
Madras University- Chennai
MBA · Oprations Management
August 1, 2016 – June 30, 2018
SSBS College - Mailam - 604304
Bachelor of Science · Computer Science
August 1, 2011 – June 30, 2014
SPS High Sec School
HSC
June 1, 2009 – May 31, 2011
Corporation High School
SSLC
June 1, 2008 – May 31, 2009
SGS & CO
Lead - Analyst (WFM)
May 1, 2023 – September 1, 2025
India
Omega Healthcare
MIS Specialist & Power BI Developer (Client Service)
November 1, 2021 – May 1, 2023
India
Technosoft Global (Apexon Health)
Senior MIS Executive
July 1, 2020 – October 1, 2021
India
Access healthcare Pvt.
Senior MIS Executive & CDS Executive
June 1, 2015 – June 1, 2020
India
Cultural Fit Analysis
The candidate's experience across different companies (SGS & CO, Omega Healthcare, Technosoft Global, Access Healthcare) and roles (Lead Analyst, MIS Specialist, Senior MIS Executive) indicates adaptability. Their involvement in leading teams and collaborating across departments suggests a team-oriented approach. The focus on delivering actionable insights for business growth and decision-making aligns with a results-driven culture. The diversity of projects, from capacity forecasting to financial transaction analysis, shows a broad applicability of their skills.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their experience in identifying variances, creating effective plans, and optimizing data workflows. Their leadership experience in managing regional reports and analytics, coupled with collaboration with leadership for data-driven decision-making, indicates good operational fit. The automation of reporting processes and focus on data accuracy suggest a detail-oriented and efficiency-driven approach.