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Senior Analyst with 5+ years in Data Analysis, Reporting & Technical Documentation
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Assessing your cultural and operational fit
Technical Analyst with 5+ years of experience in research, data analysis, reporting, and technical documentation. Skilled in Excel, SQL, Power BI, dashboard development, data cleaning, and business reporting. Strong analytical and problem-solving abilities with experience transforming complex information into actionable insights.
S.A. Engineering College
Bachelor of Engineering · Electronics & Communication Engineering
August 1, 2016 – June 30, 2020
Domex E-Data Pvt Ltd (Molecular Connection)
Technical Analyst
September 1, 2020 – May 1, 2026
Chennai, Tamil Nadu, India
Excel Reporting Automation
June 1, 2026 – Present
• Automated MIS reports using Pivot Tables, XLOOKUP, INDEX-MATCH, and advanced Excel formulas. • Reduced manual reporting effort and improved reporting efficiency.
Sales Performance Dashboard (Power BI)
June 1, 2026 – Present
• Built interactive dashboards to analyze sales trends, regional performance, and product profitability. • Implemented KPIs, filters, and drill-through reports for business decision-making.
Generative AI Certification
Unknown
June 1, 2026 – Present
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Power BI Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily focused on technical analysis and reporting. The projects highlight a problem-solving approach to data challenges. The certifications, including Generative AI, suggest an interest in emerging technologies and continuous learning, which can be a positive cultural fit. However, the breadth of project diversity is somewhat limited to reporting and automation, and the target role of 'Senior Analyst' requires a deeper dive into strategic analysis and potentially cross-functional collaboration, which is not explicitly detailed.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical, research, data interpretation, and documentation skills. The experience in processing large volumes of technical documentation suggests attention to detail and operational efficiency. The project descriptions indicate a focus on improving efficiency and supporting business decision-making, which aligns with operational needs. However, direct evidence of teamwork or leadership in the provided data is limited.