Senior Data Analysis with 4+ years in Data Management & Visualization
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst with over 4 years of experience in high-volume data management and customer service. Transitioning from document facilitation to data analytics, leveraging a Master's in Commerce and technical proficiency in Oracle SQL, Python, and Power BI. Proven ability to synthesize complex information and derive actionable insights using advanced database techniques.
The American College
Master of Commerce · Commerce
August 1, 2018 – June 30, 2020
The American College
Bachelor of Commerce · Commerce
August 1, 2015 – June 30, 2018
Rajan Matriculation Hr. Sec. School
HSC
June 1, 2013 – May 31, 2015
Rajan Matriculation Hr. Sec. School
SSLC
June 1, 2012 – May 31, 2013
The Regional Passport Office
Data Entry Operator
February 1, 2021 – Present
Madurai, Tamil Nadu, India
Sales Performance Dashboard
June 1, 2026 – Present
• Extracted and cleaned raw datasets using Oracle SQL with focus on JOINS and GROUP BY for structured reporting. • Developed interactive visualizations in Power BI to track key business metrics and trends. • Utilized Python scripts for basic data sorting and automation tasks.
Tally Academy Diploma
Tally Academy
June 1, 2026 – Present
Data Analyst Professional Certificate
Unknown
June 1, 2026 – Present
Oracle SQL Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is limited to one personal project, 'Sales Performance Dashboard'. The current professional role as a Data Entry Operator, while involving data, is not directly aligned with a Senior Data Analysis role's typical responsibilities. The breadth of skills listed (SQL, Power BI, Python basics, Excel, Tally ERP 9) shows a foundational understanding of data tools, but the depth of application in a professional analytical context is not clearly demonstrated beyond the personal project. The certifications indicate a proactive approach to learning, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as problem-solving, complex communication, conflict resolution, and team collaboration, which are valuable for operational fit in a data analysis role. Their experience in synthesizing complex information and communicating it clearly to stakeholders is a significant asset. However, the current role as a Data Entry Operator, while emphasizing data integrity, does not fully align with the analytical depth expected for a Senior Data Analysis role.