Strategic Data Manager

3 days ago


Vizag, Andhra Pradesh, India beBeeDataDriven Full time ₹ 18,00,000 - ₹ 25,00,000
Chief Manager Job Description

The role of Chief Manager involves analyzing large datasets to identify trends and patterns. This requires the use of statistical methods to validate findings and ensure they are reliable. The Chief Manager must also perform exploratory data analysis (EDA) to understand the data's structure and characteristics.

Key Responsibilities:
  1. Analyzing large datasets to identify trends, patterns, and insights.
  2. Using statistical methods to validate findings and ensure they are reliable.
  3. Performing exploratory data analysis (EDA) to understand the data's structure and characteristics.
  4. Developing machine learning models to make predictions or classifications based on the data.
  5. Selecting appropriate algorithms and techniques for specific problems.
  6. Training, validating, and testing models to ensure they perform well.
  7. Creating visualizations to communicate findings clearly and effectively to stakeholders.
  8. Using tools like Tableau, Qlik, or Power BI to create charts, graphs, and dashboards.
  9. Presenting complex data in a user-friendly manner.
  10. Applying statistical techniques to analyze data and draw meaningful conclusions.
  11. Conducting hypothesis testing and regression analysis.
  12. Ensuring the statistical validity of the results.
  13. Working with business leaders, analysts, and other stakeholders to understand their needs and requirements.
  14. Defining project scope, goals, and deliverables. Developing detailed project plans, timelines, and resource allocations.
  15. Providing technical guidance and mentorship to the project team, ensuring best practices in data engineering, analytics, and AI/ML model development.
  16. Serving as the primary contact for client communications, ensuring clear and effective information exchange.
  17. Conducting Q&A sessions with senior and execution-level bankers.
  18. Ensuring quality control and standardization of deliverables. Performing data discovery feasibility, establishing data lineage for audibility, and implementing data quality checks.
  19. Establishing clear milestones and governance plans, tracking project progress, and ensuring adherence to deadlines.
  20. Overseeing the setup of Azure SQL databases, Azure DevOps environments, and PowerBI servers.
  21. Monitoring and optimizing data pipelines, ensuring data integrity and efficient processing.


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