Data Analyst

The interview process typically spans three rounds. The first round tests aptitude and logical reasoning, the second focuses on technical depth – SQL queries, Python/R coding, and forecasting concepts – and the final HR round assesses cultural fit and communication. Overall difficulty is moderate; thorough preparation on time‑series models and data‑visualisation tools helps candidates stand out.

General Mills India promotes a collaborative, purpose‑driven culture where learning and innovation are encouraged. Employees enjoy a balanced work‑life environment, regular upskilling programs and clear pathways for growth within the supply‑chain and analytics domains.

Minimum: Bachelor’s degree in Operations Research, Statistics, Supply Chain, Industrial Engineering or related field. Minimum aggregate 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Recent graduates (2022‑2025) are preferred. Candidates should have 1‑2 years of data‑analysis experience or relevant internships.

Round 1: Aptitude & Logical Reasoning → Round 2: Technical interview (SQL, Python/R, forecasting concepts) → Round 3: HR interview (fit, communication, career aspirations)

General Mills India, the Indian arm of the global food powerhouse, exists to make food the world loves. The company’s mission goes beyond delivering tasty products – it is a place that encourages learning, embraces diverse perspectives and constantly re‑imagines possibilities. Employees are described as bold thinkers with big hearts, who challenge each other and grow together. The culture is built around purpose, sustainability and a relentless drive to be the undisputed leader in the food industry. The Analyst – Demand Forecasting role is a critical part of the Demand Planning function. Working on a 1.30 pm to 10.30 pm shift, the analyst will design, implement and continuously improve forecasting solutions that enhance accuracy and support business decisions. The role blends statistical modelling, data engineering and stakeholder management, offering a perfect launchpad for fresh graduates who love numbers and enjoy translating insights into actionable plans. **Key Responsibilities** 1. Build, validate and maintain time‑series and causal forecasting models (ARIMA, exponential smoothing, regression, etc.). 2. Analyse model outputs, generate change‑over reports and present insights to business stakeholders. 3. Conduct descriptive analysis on large data sets to uncover patterns, trends and root‑cause factors. 4. Track performance metrics such as forecast accuracy, bias and variance; recommend corrective actions. 5. Extract, transform and load data from primary and secondary sources using SQL/PLSQL and cloud platforms (GCP, AWS, Azure). 6. Develop interactive dashboards in Tableau/Power BI/Looker for real‑time visibility of demand forecasts. 7. Collaborate closely with data‑science and supply‑chain teams to identify automation opportunities and validate model enhancements. 8. Engage with cross‑functional stakeholders to ensure alignment on forecast assumptions and business plans. 9. Document forecasting methodology, standard operating procedures and best‑practice guidelines. 10. Participate in continuous improvement initiatives, including root‑cause analysis (RCA) and process redesign. **Tech Stack**: Python, R, SQL/PLSQL, Tableau, Power BI, Looker, GCP/AWS/Azure, Excel, statistical libraries (statsmodels, scikit‑learn). **Growth Path**: Successful analysts can progress to Senior Analyst – Demand Planning, then to Demand Planning Manager, and eventually to Head of Supply Chain Analytics. The role offers exposure to end‑to‑end supply‑chain processes, advanced analytics, and leadership opportunities. **Why Join**: You will work in a purpose‑driven organization that values innovation, offers mentorship from seasoned supply‑chain professionals, and provides a collaborative environment where fresh ideas are welcomed. The hybrid setup in Powai gives you access to modern office facilities while allowing flexibility. The company’s commitment to employee development, competitive compensation and a clear career ladder makes it an attractive choice for ambitious graduates.