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Data Operations Analyst with 3+ years in Data Operations & 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
Results-driven professional with experience in data operations, analytics, and team leadership. Skilled in data validation, data cleaning, SQL querying, and performance analysis to ensure high data quality and business accuracy. Adept at optimizing processes, identifying data inconsistencies, and generating actionable insights. Proven ability to collaborate with cross-functional and international teams to enhance data governance and reporting efficiency. Seeking to leverage analytical and operational expertise in a data-driven role.
Maharaja Sayajirao University
Master of Commerce · Economics
August 1, 2022 – June 30, 2024
Maharaja Sayajirao University
Bachelor of Commerce · Banking
August 1, 2019 – June 30, 2022
NielsenIQ
Data Operations Analyst (NOVA Team)
March 1, 2025 – Present
India
Maxicus Pvt. Ltd
Team Leader (Airtel Mobility)
June 1, 2024 – March 1, 2025
India
Maxicus Pvt. Ltd
Quick Response Team (Airtel Payments Bank)
June 1, 2022 – June 1, 2024
India
UrbanClap (Urban Company)
Business Development Associate
November 1, 2021 – December 1, 2021
India
Sales & Order Data Analysis Dashboard (Excel)
June 24, 2026 – Present
Analyzed transactional dataset to identify delivery performance, customer trends, and operational insights. Performed data cleaning and preprocessing to ensure data accuracy and consistency. Built Pivot Tables and interactive dashboards to track KPIs such as delivery status, cancellations, and order trends. Designed charts and KPI cards to visualize performance metrics and support decision-making. Generated actionable insights to improve operational efficiency and reporting.
View ProjectCustomer Behavior Analysis using Python
June 24, 2026 – Present
Analyzed customer dataset using Python libraries including Pandas, NumPy, and SciPy. Performed data cleaning, preprocessing, and exploratory data analysis (EDA). Applied statistical techniques including correlation analysis and hypothesis testing (t-test, ANOVA). Evaluated relationships between variables such as age, spending behavior, and engagement levels. Visualized insights using Matplotlib and Seaborn to communicate findings effectively.
View ProjectData Analytics Essentials – Cisco Networking Academy
Cisco Networking Academy
January 1, 2025 – Present
Power BI for Beginners – Simplilearn
Simplilearn
August 1, 2024 – Present
Career Essentials in Data Analysis – Microsoft & LinkedIn
Microsoft & LinkedIn
July 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer behavior analysis to sales data dashboards, shows a broad interest in applying data skills. Their experience in various operational roles, including team leadership and customer service, suggests adaptability and a collaborative mindset. The pursuit of multiple data analysis certifications further indicates a strong drive for continuous learning and alignment with data-driven cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in team leadership, customer operations, and incident management, which suggests good problem-solving, stakeholder coordination, and a focus on service quality and efficiency. Their current role emphasizes data governance and collaboration, indicating an ability to work within structured data environments.