Radhakrishna Foodland - Assistant Manager - Analytics/Data Science

Job Description

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. .