Analytics Manager

Role Overview We are seeking an experienced Analytics Manager Supply Chain Planning to lead and enhance data-driven decision-making across our supply chain functions. This role is critical to driving performance improvement through insights, forecasting, and advanced analytics. You will work closely with planning, procurement, production, and S&OP teams to optimize end-to-end supply chain operations. Preferred Skills Experience in a manufacturing, FMCG, retail, or logistics-driven industry Exposure to Power BI and Python modelling machine learning, AI, or optimization in supply chain contexts Strong knowledge of Power Query is a must Key Responsibilities Data & Insights Leadership Translate business requirements into data models and visualizations. Create projects plan and lead daily stand-up meetings to ensure project timeliness Lead the design, development, and delivery of dashboards, reports, and KPIs for supply chain performance (e.g., forecast accuracy, inventory turns, service levels) Interpret complex data sets to generate actionable insights for demand planning, inventory optimization, and supply planning. Ensure data accuracy and report performance optimization along with timely delivery of the reports. Planning Analytics & Automation Partner with demand planners and supply planners to support statistical forecasting and scenario planning Develop models to analyze trends, seasonality, demand variability, and accuracy tracking Automate manual task for data cleansing using Python with precision Reports & Analytics Prepare Power Bi reports for modelling Business planning insights Model data using Power query for transformation Write DAX functions to create KPIs and dashboards Apply predictive and prescriptive analytics to support decision-making in supply chain planning Identify inefficiencies, constraints, and cost-saving opportunities using simulation and modelling techniques Collaboration & Cross-Functional Alignment Act as a data liaison between planning, procurement, manufacturing, logistics, finance, and IT teams Support S&OP (Sales & Operations Planning) processes with data models, simulations, and visualizations Create use case for testing and conduct thorough testing of codes before deployment (functional, integration, regression). Identify and log bugs/issues and ensure timely resolution with development teams. Validate performance, user experience, and data accuracy across environments. Tools, Technology & Automation Manage and enhance analytics tools (Power BI, Python, SQL, etc.) used within the supply chain planning ecosystem Collaborate with IT teams to ensure clean, structured, and accurate data pipelines and master data integrity Team Management & Mentorship Lead a team of supply chain analysts and data professionals (if applicable) Define team objectives, mentor junior analysts, and foster a culture of continuous improvement Required Qualifications & Skills Bachelors or Masters degree in Supply Chain, Engineering, Statistics, Data Science, Operations Research, or related fields 3-5 years of experience in supply chain analytics, with a focus on demand/supply planning, inventory optimization, or logistics Proficiency in data visualization tools like Power BI, Tableau), and data analytics languages like SQL, Python Grasp on supply chain KPIs, planning concepts (MRP, DRP, S&OP), and statistical forecasting techniques added bonus Excellent communication and stakeholder management skills