Radhakrishna Foodland - Assistant Manager - Analytics/Data Science

: Key Responsibilities : Qlik Sense & BI : - Build and enhance interactive Qlik Sense dashboards and analytical applications. - Manage QMC, QVDs, reload schedules, security, data connections and production support. - Develop data models, scripts, KPIs and business-oriented visualizations. - Improve dashboard performance, usability and adoption. Python & Data Science : - Use Python, Pandas and relevant analytics libraries for data analysis and automation. - Automate repetitive business and reporting processes. - Perform data cleansing, transformation, validation and reconciliation. - Develop analytical models and identify patterns, trends and business opportunities. - Explore opportunities to apply AI/ML and predictive analytics where relevant. SQL & Data Engineering : - Develop complex SQL queries, views, stored procedures and data structures. - Work with large datasets while ensuring data quality and accuracy. - Build reliable data pipelines supporting dashboards and analytics applications. - Troubleshoot and optimize database performance. Business & Supply Chain Analytics : - Work with business teams to understand requirements and translate them into analytical solutions. - Develop analytics across Demand Planning, Inventory, Procurement, Warehouse, Logistics and Operations. - Identify business opportunities through data-driven analysis. - Perform root-cause analysis and recommend actionable improvements. Stakeholder & Team Leadership : - Work directly with business leaders and cross-functional teams. - Own analytics projects end-to-end, from requirement gathering to deployment and adoption. - Provide guidance to junior analysts/data scientists. - Drive continuous improvement in analytics products and processes. Experience & Qualification : - 1.5 - 4 years of relevant experience with strong hands-on expertise in Qlik Sense, Python, Pandas and Advanced SQL, along with a good understanding of data modelling, BI and analytics. - Strong analytical, problem-solving, communication and stakeholder-management skills, with the ability to work independently and take end-to-end ownership. - Experience in Supply Chain, Operations, Q-Commerce, Retail or FMCG will be preferred, with knowledge of Demand & Supply Planning, Inventory, Procurement, Warehouse or Logistics being an advantage. - Experience in AI/ML, predictive analytics, automation, large datasets and production analytics environments will be an advantage. - Candidates should have a hands-on, agile and startup mindset, be comfortable with ambiguity and demonstrate strong execution focus. - Educational Qualification : B.Sc. Mathematics + MS in Data Science, or B.E./B.Tech. in Computer Science / IT + MBA in Analytics, Operations or Supply Chain. MS in Data Science will be an added advantage.