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REQUIREMENT_ID_293 β€’ 3-DAY_ACTIVE_POLICY

Data & AI Solutions Specialist

Company
Company Cargill
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 15 - 25 LPA
Location
Location Bangalore, Karnataka
Posted Date
Posted Date Today
SQL Power BI Power Apps Microsoft Copilot Copilot Studio Data Analytics Relational Databases Data Analysis Data Validation Communication Microsoft Power Platform
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Aptitude and Logical Reasoning Practice Open Resource β†—
Helps sharpen problem‑solving skills essential for data validation and analytical reasoning at Cargill.
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Interview Preparation for Technical Roles Open Resource β†—
Provides insights into common technical interview questions relevant to SQL, Power BI, and Microsoft Power Platform.
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Project‑Based Learning Resources Open Resource β†—
Offers guidance on building end‑to‑end analytics projects, useful for portfolio preparation.
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Coding Practice for Data Structures and Algorithms Open Resource β†—
Enhances coding skills for technical interviews, especially for SQL and programming logic.

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.

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

Cargill β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Cargill Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Cargill and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (SQL, Power BI, Power Apps, Microsoft Copilot, Copilot Studio, Data Analytics, Relational Databases, Data Analysis, Data Validation, Communication, Microsoft Power Platform) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Cargill Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Cargill as a Data & AI Solutions Specialist?
Preparation Tip: Highlight Cargill's market reputation, recent tech innovations, and how your skills in SQL directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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