Data & AI Solutions Specialist

Candidates typically undergo a three‑round interview process: an initial technical screening focusing on SQL and Power BI, a second technical round covering Power Apps and Copilot, followed by an HR round. The interviews are moderately challenging, with a mix of scenario‑based questions and practical problem solving. Preparation tips include practicing real‑world data scenarios and reviewing Microsoft Power Platform documentation.

Round 1: Technical (SQL & Power BI) → Round 2: Technical (Power Apps & Copilot) → Round 3: HR

Cargill promotes a collaborative and inclusive work culture where employees are encouraged to innovate and take ownership of projects. The company offers ample opportunities for professional development and maintains a healthy work‑life balance through flexible scheduling and supportive management.

Bachelor’s degree in Engineering (B.E/B.Tech), Science (B.Sc), or Computer Applications (BCA) in a relevant field. Minimum 60% in final year or overall. Experience required; no backlog policy. Candidates must be proficient in SQL, Power BI, and Microsoft Power Platform technologies.

Cargill, a global leader in food, agriculture, and industrial products, has been a pioneer in leveraging technology to drive sustainable growth and innovation. With a presence in over 70 countries, the company is known for its commitment to quality, ethical sourcing, and cutting‑edge research. In India, Cargill’s operations span agriculture, food processing, and supply chain solutions, creating a dynamic environment where data and technology play a pivotal role. The company’s culture emphasizes collaboration, continuous learning, and a strong focus on employee well‑being, making it an attractive destination for professionals seeking both impact and growth. The Data & AI Solutions Specialist role is a full‑time position based in Bangalore, Karnataka. The role is designed for experienced professionals who can bridge the gap between data science, business intelligence, and AI‑enabled solutions. You will be responsible for collecting, preparing, and analyzing structured datasets, building and maintaining Power BI dashboards, and developing automated reporting solutions. Additionally, you will work on Microsoft Power Platform technologies, including Power Apps, Microsoft Copilot, and Copilot Studio, to create AI‑driven business applications that streamline processes and enhance decision‑making. Key Responsibilities: 1. Collect, process, and analyze moderately complex datasets. 2. Develop and maintain automated reporting systems using SQL and Power BI. 3. Design data models, visualizations, KPIs, and performance‑oriented reports. 4. Create and maintain database views to support analytics. 5. Perform statistical analysis to identify trends, patterns, and anomalies. 6. Implement improvements to data collection and reporting processes. 7. Collaborate with cross‑functional, digital technology, and data engineering teams. 8. Support data integrity and accuracy across reporting solutions. 9. Build and support Copilot Studio agents for broader user groups. 10. Translate business requirements into actionable technical solutions. Tech Stack: SQL, Power BI, Power Apps, Microsoft Copilot, Copilot Studio, Microsoft Power Platform, relational databases, data analytics. Growth Path: Starting as a specialist, you can progress to senior data engineer, analytics manager, or AI solutions architect roles, with opportunities to lead cross‑functional projects and influence strategic decisions. Why Join Cargill? The company offers competitive compensation, a collaborative work environment, and a chance to work on impactful projects that drive sustainability and efficiency. Employees benefit from continuous learning programs, mentorship, and a culture that values innovation and integrity.