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Data Analyst with 2+ years in business intelligence & reporting
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MSc Management graduate with experience analysing operational and e-commerce datasets to generate business insights using SQL, Power BI, Tableau, Excel, and Python. Delivered data-driven recommendations through dashboard development, KPI reporting, funnel analysis, and data quality improvement initiatives across retail and marketplace environments. Strong analytical and problem-solving skills with experience interpreting complex datasets, identifying trends, and supporting business decision-making.
University of Leeds
MSc · Management
August 1, 2022 – June 30, 2023
Dr Babasaheb Ambedkar Marathwada University
BCom
August 1, 2018 – June 30, 2021
Caffe Nero
Operations Analyst
February 1, 2024 – January 1, 2026
Leeds, England, United Kingdom
Amazon
Selling Partner Analyst
July 1, 2022 – September 1, 2022
Mumbai, Maharashtra, India
Coffee Shop Sales Analysis
June 17, 2026 – Present
Developed an interactive KPI dashboard tracking $698.8K revenue across 149,000+ transactions, enabling performance reporting and trend identification across three locations. Uncovered a 103.8% revenue growth trend and identified key revenue drivers by performing detailed sales analysis and data visualisation to support business decision-making.
View ProjectE-commerce Funnel Optimisation Analysis
June 17, 2026 – Present
Identified a 20% conversion bottleneck at the Add-to-Cart stage by analysing 10,000+ event logs in BigQuery SQL, generating data-driven recommendations projected to improve conversion rates by 15%.
View ProjectCultural Fit Analysis
The candidate's project diversity, including academic projects like 'Coffee Shop Sales Analysis' and 'E-commerce Funnel Optimisation Analysis', alongside professional roles at Amazon and Caffe Nero, indicates adaptability to different business contexts. The roles align well with a Data Analyst position, focusing on extracting insights and making data-driven recommendations. The breadth of skills listed (SQL, Power BI, Tableau, Excel, Python, Data Quality, Statistical Analysis, Business Insights) suggests a proactive approach to skill development relevant to data analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to interpret complex datasets, identify trends, and support business decision-making. Their experience in improving reporting accuracy and operational efficiency suggests an attention to detail and a results-oriented approach. The projects and work experience indicate a capacity for independent work and contributing to team goals, such as reallocating resources based on demand trends.