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Research Analyst with 2+ years in Data Analysis & Business Intelligence
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Assessing your cultural and operational fit
Results-driven Research Analyst with 2+ years of experience in data collection, analysis, and reporting. Skilled in Python, Excel, and Power BI to turn data into clear insights, dashboards, and presentations. Holds an MSc in Applied Statistics with a strong, evidence-based approach to research.
Central University of Odisha
MSc · Applied Statistics
August 1, 2019 – June 30, 2021
North Orissa University
BSc · Mathematics
August 1, 2016 – June 30, 2019
TeamLease Services Limited
Market Research Analyst
February 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
Copyright Integrity International
Research / Data Analyst
August 1, 2023 – January 1, 2025
Bengaluru, Karnataka, India
INNODATATICS
Data Science Intern
October 1, 2022 – December 1, 2022
Hyderābād, Telangana, India
SQL & Relational Databases
Unknown
June 1, 2026 – Present
Data Visualization with Power BI
Unknown
June 1, 2026 – Present
Data Science using Python
Unknown
June 1, 2026 – Present
Business Analytics with Excel
Unknown
June 1, 2026 – Present
Python for Data Science
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across market research, data analysis for intellectual property, and a data science internship, demonstrating versatility and a broad interest in data-driven roles. The educational background in statistics and mathematics, combined with practical application of various tools, suggests a strong analytical and problem-solving orientation. The roles involve working with diverse data sources and presenting to different stakeholders, indicating an ability to integrate into varied team structures. However, the experience is relatively short (2+ years), which might require some mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's experience in preparing daily/weekly research briefings and collaborating on end-to-end data science pipelines suggests good organizational skills and a collaborative mindset. The ability to present findings to both technical and non-technical stakeholders indicates strong communication and adaptability. The role in copyright integrity also implies attention to detail and adherence to compliance.