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Data Analyst with 1+ years in ETL, Data Analysis & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with hands-on experience in ETL Processes, Data Analysis, Business Intelligence Reporting, SQL Querying, and Dashboard Development. Skilled in transforming raw data into actionable business insights using Advanced Excel, SQL, Tableau, and Python. Experienced in handling large datasets, automating reporting workflows, conducting data validation, and supporting business decision-making through analytical reporting and visualization. Strong expertise in data extraction, data cleaning, reporting automation, KPI tracking, and business intelligence solutions. Seeking opportunities as Data Analyst, MIS Executive, BI Analyst, BI Engineer, Reporting Analyst, or Junior Data Engineer in leading organizations across India.
Kannur University
MSc in Statistics · Statistics
August 1, 2020 – June 30, 2022
Kannur University
BSc in Mathematics · Mathematics
August 1, 2017 – June 30, 2020
Brillio Technologies
BI Engineer
December 1, 2023 – June 1, 2024
Bengaluru, Karnataka, India
Introtallent
Data Analytics Intern
July 1, 2022 – January 1, 2023
Bengaluru, Karnataka, India
Certificate Program in Data Science, BI & Analytics
Introtallent
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience as a BI Engineer and Data Analytics Intern, coupled with their academic background in Statistics and Mathematics, aligns well with a data-driven culture. Their exposure to various tools (SQL, Tableau, Python, Excel, GCP) and tasks (ETL, reporting, data quality, basic ML) suggests adaptability and a willingness to learn and apply diverse technical solutions. The target role of Data Analyst is a good fit for their demonstrated skills and career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, attention to detail, and cross-functional collaboration, as evidenced by managing daily operational tickets, resolving data discrepancies, and working with business and technical teams. Their experience in automating repetitive tasks indicates an operational efficiency mindset.