Padmi

Mis Executive - Bangalore - Meesho (Offrole position) (Bengaluru)

BangalorePosted 2 months ago
Data Science And StatisticsJuniorFull Time; Regular
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MIS Executive Bangalore Key Responsibilities 1. Utilize advanced Excel formulas and functions to manipulate, analyze, and visualize complex data sets. 1. Expertly navigate and work with Google Sheets to create and manage data-driven reports and dashboards. 1. Maintain thorough documentation of processes, data sources, and reporting methodologies. 2. Data sanity check, uploading and updating in the CRM. 3. Perform thorough data analysis to identify trends, patterns, and anomalies, and present findings in a explicit and concise manner. 1. Collaborate with cross-functional teams to understand data requirements and provide actionable insights for various business objectives. 1. Develop and maintain automated reporting processes that streamline data collection, analysis, and reporting workflows. 1. Conduct variance analysis to compare actual performance against forecasts or benchmarks, highlighting key drivers of differences. 1. Ensure data accuracy, integrity, and consistency throughout all stages of analysis and reporting. 2. Ensuring timely adherence of P2P by facilitating PO creation, SRN checks and timely payments through respective teams 1. End to end ownership of monthly book closures through cross functional collaboration and timely highlights of gaps found in the GL scrutiny. MIS Executive Bangalore Key Responsibilities 1. Utilize advanced Excel formulas and functions to manipulate, analyze, and visualize complex data sets. 1. Expertly navigate and work with Google Sheets to create and manage data-driven reports and dashboards. 1. Maintain thorough documentation of processes, data sources, and reporting methodologies. 2. Data sanity check, uploading and updating in the CRM. 3. Perform thorough data analysis to identify trends, patterns, and anomalies, and present findings in a explicit and concise manner. 1. Collaborate with cross-functional teams to understand data requirements and provide actionable insights for various business objectives. 1. Develop and maintain automated reporting processes that streamline data collection, analysis, and reporting workflows. 1. Conduct variance analysis to compare actual performance against forecasts or benchmarks, highlighting key drivers of differences. 1. Ensure data accuracy, integrity, and consistency throughout all stages of analysis and reporting. 2. Ensuring timely adherence of P2P by facilitating PO creation, SRN checks and timely payments through respective teams 1. End to end ownership of monthly book closures through cross functional collaboration and timely highlights of gaps found in the GL scrutiny.

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