Senior Manager - Data Analytics

Senior Manager - Data Analytics

Roles & Responsibilities:

• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive the optimization and improvement of business strategies.
• Assess the effectiveness and accuracy of data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize business outcomes.
• Operationalize models and algorithms into structured software, programs, or operational processes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Provide recommendations to business users based on data and model outcomes.

Skills Required:

• Strong problem-solving skills with an emphasis on business development.
• Experience with coding languages like

  R or Python (for data cleaning, statistics, and modeling)

  ,

  SQL

  ,

  VBA

  , and

  DAX (PowerBI)

  .
• Knowledge of working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (e.g., clustering, decision trees, artificial neural networks).
• Knowledge of advanced statistical techniques and concepts (e.g., regression, statistical tests).
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Strong analytical, negotiation, and convincing skills.

QUALIFICATION:

• Bachelor's degree (BSc/BTech) in applied sciences with statistics coursework, or a relevant certification.