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MIS Executive

Ad Leo Private Limited

5 - 31 years

0 Lacs

Dahisar East, Mumbai/Bombay

Posted:1 month ago| Platform: Apna logo

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Skills Required

data analysis analytics research processing visualization leadership management strategy planning collaboration development consistency integrity optimization automate efficiency

Work Mode

Remote

Job Type

Full Time

Job Description

The Data Analysis Manager leads the data analytics function within the Market Research and Analytics Division, overseeing the processing, analysis, and visualization of complex data sets to deliver actionable insights. This role involves managing a team of data analysts, ensuring high-quality outputs, and aligning analytics initiatives with client and organizational goals. Key Responsibilities 1. Team Leadership and Management :- • Supervise, mentor, and guide a team of data analysts to ensure optimal performance. • Assign tasks, monitor progress, and ensure timely delivery of high-quality data insights. 2. Data Strategy and Planning :- • Define the division’s data analysis roadmap in collaboration with the Market Research Manager. • Identify data sources, tools, and methodologies to meet current and future project needs. 3. Advanced Analytics and Modeling :- • Lead the development and implementation of statistical models, predictive analytics, and data-driven solutions. • Ensure the use of appropriate tools and techniques for each project. 4. Quality Assurance :- • Review and validate data analyses to ensure accuracy, relevance, and consistency. • Maintain data integrity by implementing quality control processes. 5. Stakeholder Collaboration :- • Partner with internal teams and clients to understand project objectives and tailor data analysis efforts accordingly. • Present complex data findings in a simplified and actionable format to stakeholders. 6. Innovation and Process Optimization :- • Identify and implement new tools, technologies, and workflows to enhance the division’s data capabilities. • Automate repetitive data tasks to improve efficiency and reduce errors.

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MIS Executive