Senior MIS Executive

Data Management: Collect, organize, and maintain large volumes of data from various sources, ensuring accuracy, integrity, and security. Data Analysis: Analyze data to identify trends, patterns, and insights that can inform business decisions and drive operational improvements. Reporting: Generate regular and ad-hoc reports using MIS tools and software, presenting findings in a clear and concise manner to key stakeholders. Dashboard Development: Design and develop interactive dashboards and visualization tools to facilitate data-driven decision-making and performance monitoring. Database Maintenance: Manage databases and data warehouses, optimizing data structures and configurations for efficient storage and retrieval. Quality Assurance: Perform data validation and quality checks to ensure data accuracy and consistency, troubleshooting any discrepancies or anomalies as needed. Process Improvement: Identify opportunities to streamline data collection, analysis, and reporting processes, implementing automation and efficiency enhancements where possible. Cross-functional Collaboration: Collaborate with departments across the organization, including finance, operations, and marketing, to understand data needs and deliver actionable insights. Training and Support: Provide training and support to end-users on MIS tools and systems, ensuring proper utilization and adherence to data governance policies. Compliance: Ensure compliance with data privacy regulations and internal policies, maintaining confidentiality and security of sensitive information. Qualifications: Bachelor's degree in computer science, information technology, or related field. Proven experience in MIS or data analysis role, with a minimum of 2 years of relevant experience. Data analysis / PO making / GRN / ESN/ tracking and follow up/ Good in Excel working / work in Google sheet. Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. Excellent communication and interpersonal skills, with the ability to effectively interact with stakeholders at all levels. Detail-oriented with a focus on data accuracy and quality. Ability to work independently and collaboratively in a fast-paced environment. Knowledge of database management systems and data warehousing concepts. Familiarity with ERP systems and business intelligence tools is a plus.

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