Data Analyst

Company Description Bunge is a global agribusiness solutions provider focused on connecting farmers to consumers and delivering essential food, feed, and fuel worldwide. With over 200 years of experience and operations in more than 50 countries, Bunge is a leader in grain origination, storage, distribution, oilseed processing, and refining. The company offers a broad portfolio of plant-based oils, fats, and proteins and collaborates closely with customers across the value chain to deliver quality products and tailored, innovative solutions. Bunge is committed to strengthening global food security, advancing sustainability, and supporting the prosperity of communities where it operates. The company has its registered office in Geneva, Switzerland, and corporate headquarters in St. Louis, Missouri.
Role Description This is a full-time, on-site Data Analyst role based in Rajpura. The Data Analyst will collect, clean, and validate operational and business data from multiple sources, ensuring accuracy and consistency. The role involves performing data analysis, building reports and dashboards, and developing data models that support decision-making in areas such as supply chain, production, and commercial operations. The Data Analyst will work with cross-functional teams to translate business questions into analytical frameworks, present insights in a clear, actionable manner, and support continuous improvement initiatives. The role also includes documenting analytical processes, maintaining data standards, and contributing to the enhancement of data-driven practices within the organization.
Qualifications
Strong analytical skills and experience in data analytics to derive insights and support business decisions.
Solid foundation in statistics to design analyses, interpret results, and validate findings.
Proficiency in data modeling to structure data for reporting, forecasting, and scenario analysis.
Effective communication skills to present complex data in a clear, concise, and meaningful way to diverse stakeholders.
Experience with data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar) and familiarity with databases.
Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.
Ability to work collaboratively in a cross-functional environment and manage multiple priorities with attention to detail.
Knowledge of agribusiness, supply chain, or manufacturing operations is an advantage.

Work arrangement
No