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Data Analyst with 3+ years in MIS Reporting, Dashboard Design & Business Intelligence
Results-driven MIS Coordinator and Data Analyst with 3+ years of experience in the banking sector. Proven expertise in MIS reporting, dashboard design, data management, KPI monitoring, and business intelligence. Proficient in Advanced MS Excel (VLOOKUP, Pivot Tables, Power Query, Macros), Power BI, and reporting automation. Strong track record of delivering data-driven insights to senior management, streamlining reporting workflows, improving data accuracy by 20%, and boosting operational efficiency by 15%. Experienced in cross-functional collaboration with operations, compliance, finance, and HR teams. Seeking a remote MIS/Data Analyst opportunity to leverage analytical skills and banking domain expertise.
LNIPE Gwalior
Post Graduation Diploma · Sports Management
August 1, 2022 – June 30, 2022
PTSNSU Shahdol
Bachelor of Physical Education & Sports
August 1, 2021 – June 30, 2021
MP Board, Bhopal
Higher Secondary (12th)
June 1, 2018 – May 31, 2018
MP Board, Bhopal
High School (10th)
June 1, 2016 – May 31, 2016
AU Small Finance Bank
Circle MIS Coordinator – Branch Banking
February 1, 2023 – May 31, 2026
Indore, Madhya Pradesh, India
Data Analytics & MIS Reporting – Employer Projects
January 1, 2023 – June 30, 2026
Created an interactive MIS dashboard using Advanced Excel and Power Query to track 54+ branch-level KPIs such as deposit growth, loan disbursement, and staff productivity — allowing senior management to monitor performance trends at a glance. Analysed a 42,000+ row banking dataset using Excel and Power Query — cleaned messy data, fixed missing values, and found that borrowers with high debt levels were 2.4x more likely to default, presented findings through clear Pivot Charts. Built an automated Excel dashboard to calculate monthly incentives for 450+ staff across different performance levels — reduced processing time from 4 hours to 30 minutes and generated ready-to-share payout summary reports for HR and Regional Heads. Studied employee exit data for 1,470+ records using Excel and data visualisation charts — calculated attrition rate, average tenure, and department-wise turnover, and found that staff with less than 2 years of experience were 3x more likely to leave. Built a sales performance report on a retail dataset using Excel and Pivot Tables — identified 4 to 6 loss-making product lines, highlighted top-selling segments, and presented findings as a clear problem-to-recommendation summary to support business decisions.
Aspirant - Data Analyst
IRA Skills
June 1, 2026 – Present
AI Dashboard Excel Workshop
Skill Nation
June 1, 2026 – Present
AI Tools workshop
Be10x
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience is focused on MIS and data analysis within a banking context, which aligns well with roles requiring structured reporting and financial data handling. However, the diversity of projects outside of this specific domain is limited. The educational background in Physical Education and Sports Management, while unique, does not directly align with a traditional data analyst career path, which might indicate a career transition. The certifications are recent and relevant, showing initiative for upskilling. The overall cultural fit is moderate, leaning towards strong in structured corporate environments but potentially less so in highly innovative or diverse data science settings.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as team leadership, training & development, communication, stakeholder management, and problem-solving, which are crucial for a senior data analyst role. Their experience in coordinating recruitment activities and delivering product training indicates good operational fit and ability to collaborate cross-functionally. The ability to automate repetitive tasks also highlights an efficiency-driven mindset.