MIS Executive and Data Analyst with experience in operational reporting, KPI tracking, TAT monitoring, Planned vs Actual analysis, dashboard development, data validation, data reconciliation, and process follow-up. Skill…
MIS Executive and Data Analyst with experience in operational reporting, KPI tracking, TAT monitoring, Planned vs Actual analysis, dashboard development, data validation, data reconciliation, and process follow-up. Skilled in Advanced Excel, SQL, MySQL, Power BI, Python, Pandas, Google Sheets, and Google Forms. Experienced in collecting reporting inputs from multiple departments, maintaining accurate operational data, supporting management reporting, and improving recurring reporting processes. MCA graduate with hands-on projects in loan, HR, and sales analytics.
<p>Prepare and maintain recurring MIS reports and dashboards for operational and management review.</p><p> Monitor more than 20 business KPIs across multiple departments.</p><p> Track Planned vs Actual performance, TAT metrics, pending activities, and operational progress.</p><p> Collect reporting inputs from more than six departments and validate data for accuracy and consistency.</p><p> Maintain reporting trackers and follow up on missing or delayed operational inputs.</p><p> Extract, clean, validate, and analyze operational data using SQL joins, filters, and aggregations.</p><p> Use Excel, SQL, Google Sheets, and Google Forms to support recurring reporting and reduce manual effort.</p><p> Build dynamic Excel dashboards for project monitoring, operational performance, and management reporting.</p><p> Reconcile reported figures with source data and support resolution of data discrepancies.</p><p> Coordinate with multiple stakeholders to improve timely data updates and reporting consistency.</p><p> Implement checklist tracking and delegation tracking systems to improve follow-up and accountability.</p><p> Support standardization of reporting formats and continuous improvement of recurring MIS processes.</p>
<p>Trained more than 150 students in Excel, SQL, Power BI, and Python.<br>
Delivered practical sessions on data cleaning, dashboard creation, reporting, and business analysis.<br>
Created hands-on exercises using business datasets and operational reporting scenarios.</p>
<p>Analyzed more than 99,000 sales records with total revenue exceeding n15.84 million.<br>
Built Power BI dashboards for sales, profit, customer behavior, and regional performance.<br>
Extracted and transformed data using SQL queries, joins, and aggregations.<br>
Identified purchasing patterns and business opportunities through data analysis and visualization.<br>
Supported data preparation, validation, and reporting for business review.</p>
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