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Manager - Data & Analytics

Job Overview


The Data Analytics & AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.


Strategic Management


  • Lead Advanced analytics initiatives that support business performance and strategic goals.
  • Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
  • Gather and translate business requirements into analytical and AI- Driven solutions.
  • Analyze internal and external factors that impact business performance.


Analytics & AI Enablement


  • Develop and enhance advanced analytics solutions, including forecasting and predictive models.
  • partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
  • support automation of insights and reporting using intelligent analytics tools
  • Ensure AI and analytics outputs are understandable, reliable, and aligned with business.


Reporting & Insights


  • Oversee Development of dashboards and visualization that support business monitoring.
  • Ensure KPIs and performance indicators are clearly defined and consistently tracked.
  • Deliver monthly performance analysis reports with insights and improvement recommendations.


Stakeholder Collaboration


  • Act as a bridge between business teams, BI, and data science functions.
  • Present insights and AI- Driven findings in a clear and business friendly manner.
  • support leadership with scenario analysis and data backed recommendations.


Requirements


  • University degree in computer science, data analytics, information systems, business intelligence, or a related field.
  • 8-10 years of experience in analytics, business intelligence, or data roles.
  • Experience working with analytics, predictive modeling, or AI initiatives.
  • Excellent communication and presentation skills.


Technical skills


  • Experience with business intelligence tools such as Power BI, SAC.
  • Good knowledge of SQL and data analysis tools.
  • Exposure to analytics and AI tools.
  • Experience working with data models and structured dataset's


Preferred Experience


  • Experience in FMCG, Food & Beverages industry is a plus.
  • Experience supporting forecasting, supply chain, or sales analytics initiatives.
  • Experience working in Agile or project-based data environments.

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