Data Analyst / Data Science - Senior Executive

Key Responsibilities:

• Prediction and Forecast Models
  Build and maintain forecasting models to support business planning and decision-making
• Model Evaluation
  Evaluate model accuracy using appropriate metrics and continuously improve model performance
• What-if Simulation
  Develop simulation models to evaluate business scenarios
  Assess the impact of pricing, display, and stock changes
• Allocation Optimization
  Design optimization models for inventory allocation across stores
  Balance constraints such as stock availability, demand, and capacity
• Dashboarding and Analytics
  Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
• Data & Collaboration
  Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
• Stakeholder Management
  Communicate and collaborate with stakeholders from diverse backgrounds (e.g., IT and business)
  Translate requirements into clear and understandable terms for all relevant parties
• Project Management (good to have)
  Manage end-to-end project delivery, including defining scope, timelines, priorities, and stakeholder engagement
• Decision Making
  Propose data-driven ideas such as optimizing machine learning models and alternative solutions
  Plan and execute initiatives effectively
• Any Other Tasks as Assigned

Requirements:

• Minimum 3-5 years of relevant experience in a similar field
• Possess at least a Bachelor’s Degree in Computer Science, Data Science, Information Technology, or an equivalent combination of education and practical experience
• Strong proficiency in Python (e.g., libraries such as pandas, sklearn) and SQL
• Hands-on experience in time series forecasting and predictive modeling
• Excellent analytical and problem-solving skills with a data-driven mindset
• Solid understanding of Machine Learning concepts and techniques
• Proven experience in project management, including planning, execution, and delivery (good to have)
• Strong stakeholder management skills, with the ability to engage and collaborate across diverse teams (good to have)
• Demonstrated critical and creative thinking abilities
• Effective problem-solving skills with the ability to develop practical and innovative solutions