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Associate Data Analyst with less than a year in SQL, Excel, and Tableau for e-commerce analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail oriented M.Com (Computer Application) graduate with hands on experience in SQL, Excel and Tableau. Passionate about analyzing data, creating dashboards and identifying actionable insights. Strong problem solving abilities with a commitment to continuous learning and supporting business growth through data driven decisions.
RAJAPALAYAM RAJU'S COLLEGE
Master of Commerce · Computer Applications
August 1, 2021 – May 2, 2023
A.K.D. Dharma Raja Womens College
Bachelor of Commerce · Computer Applications
June 17, 2018 – April 1, 2021
E-Commerce Sales Analytics Dashboard
June 18, 2026 – Present
Cleaned and analyzed e-commerce sales data using SQL and Google BigQuery. Built an interactive Tableau dashboard to monitor Revenue, Orders and Average Order Value (AOV). Analyzed monthly revenue and order trends to identify business growth patterns. Identified top performing product categories and customer states by revenue. Created KPI metrics and visual reports to support data driven decisions making.
Google Data Analytics Professional Certificate
Unknown
January 1, 2024 – Present
Power BI Workshop
Jobaaj Learning
January 1, 2024 – Present
Python with Web Development certification
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic project and certifications show an interest in data analytics. However, the target role of 'VP, Analytics & Customer Data Science' is a senior leadership position requiring extensive experience in strategic analytics, team management, and advanced data science techniques. The candidate's profile, with no professional experience and primarily academic projects, indicates a significant mismatch for a VP-level role. The breadth of skills is limited to foundational data analysis tools, lacking advanced statistical modeling, machine learning, or leadership experience crucial for the target role.
Soft Skills & Operational Fit
The candidate's professional summary highlights motivation, detail orientation, problem-solving abilities, and a commitment to continuous learning. These traits suggest a positive work attitude and potential for growth. However, without specific psychometric test results, a comprehensive assessment of stress handling and team collaboration is not possible.