Overall Summary

This is an entry-level Business Intelligence (BI) Analyst role within the Supply Chain Analytics team at General Mills’ Global Capability Center (GIC) in Mumbai. The core of the role involves hands-on work with data: extracting it, transforming it, and building BI tools (dashboards, visualizations) to support supply chain decision-making. It’s a technical, execution-focused position ideal for someone with strong data skills looking to apply them in a global corporate environment.

Key Takeaways & What General Mills is Looking For

• Technical Executor:This is a “doer” role. The emphasis is on proficiency in specific tools like SQL, GCP, Tableau, and Excel to build and maintain BI solutions.
• Supply Chain Context:While technical skills are paramount, the ability to understand basic supply chain principles and KPIs is necessary to create meaningful analysis.
• Entry-Level with Clear Expectations:The role is for 0-1.5 years of experience, with clear accountabilities around executing tasks accurately and on time.
• Hybrid & Shift-Based:The role follows a hybrid model and a 1:30 PM – 10:30 PM IST shift, indicating heavy collaboration with global teams (likely in the Americas).
• Structured Environment:The role involves working under senior team members and data engineers, suggesting a supportive environment for learning and growth.

Role Breakdown

1. Position Details

• Title:Analyst – Business Intelligence
• Department:GIC Supply Chain Analytics
• Level:Entry-Level (0-1.5 years experience)
• Location:Mumbai, India
• Shift:1:30 pm – 10:30 pm (to overlap with US time zones)
• Work Mode:Hybrid
• Reports to:Assistant Manager/Manager

2. Who Can Apply (Minimum Qualifications)

These are mandatory requirements.

• Education:Bachelor’s degree from an accredited university.
• Experience:0–1.5 years of experience in data development, analysis, or visualization.
• Technical Skills (Non-Negiable):
  1. Expertise in ETL, SQL/BigQuery, and visualization.
  2. Proficiency in specific tools:Google Cloud Platform (GCP), Advanced Excel, Tableau, SQL Server.
• Soft Skills:Clear communication (written and verbal) and strong collaboration skills.

3. What Will Make You Stand Out (Preferred Qualifications)

These are advantages.

• Education:Master’s degree. B.E. or B.Tech. is specifically mentioned as a preferred major.
• Experience:1+ years of related experience.
• Certifications:Professional Certifications in SQL, GCP, Tableau, or Excel.
• Domain Knowledge:A basic understanding of the Supply Chain or CPG (Consumer Packaged Goods)

4. Job Responsibilities (The Day-to-Day)

The responsibilities are well-defined and practical.

• Data Engineering (ETL):
  • Perform data extraction, transformation, and loading (ETL)from sources like GCP, SQL, SAP ERP.
  • Write SQL and BigQueryqueries for data manipulation.
• BI Development:
  • Develop and maintain BI solutions:This includes interactive tools, automation, and data visualizations (likely in Tableau).
  • Conduct basic data analysis and validation to ensure accuracy.
• Team Collaboration & Delivery:
  • Work with senior analysts and data engineers to improve data models.
  • Execute project taskswith precision and meet deadlines.
  • Communicate proactivelywith stakeholders and flag potential risks.

in data analytics, especially within the high-demand field of supply chain.

How to Prepare for an Application

Your application should scream “data proficiency.”

1. Resume Focus:

   • Lead with Technical Skills:Create a dedicated “Technical Skills” section listing SQL, Google BigQuery, Tableau, GCP, Advanced Excel, SQL Server.
   • Showcase Projects:Include 1-2 data portfolio projects that mirror the job’s tasks. For example:
     • “Built a Tableau dashboardto track key metrics by writing SQL queries to extract and clean data from a database.”
     • “Performed ETLusing Python/SQL to analyze [a dataset] and visualize insights.”
   • Highlight Relevant Experience:Even class projects or internships involving data analysis, reporting, or dashboard creation are highly relevant.

2. For the Interview:

   • Technical Screening:Be prepared for a hands-on SQL test (writing queries for aggregation, joins, subqueries) and questions about Tableau (e.g., explaining different chart types, filters, calculated fields).
   • Case Study/Portfolio Review:You may be asked to walk through a past project, explaining your ETL process, the logic behind your visualizations, and the business impact of your analysis.
   • Behavioral Questions:Prepare stories demonstrating:
     • How you ensured data accuracyin a project.
     • A time you had to manage your timeto meet a deadline.
     • How you explained a technical conceptto a non-technical person.
   • Domain Knowledge:Research General Mills’ supply chain and what KPIs might be important for a CPG company (e.g., On-Time Delivery, Inventory Turnover, Forecast Accuracy).

This role is an excellent launchpad for a career in data analytics, especially within the high-demand field of supply chain.

🔗 Apply Link: Click Here To Apply for General Mills

Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company’s official process. We do not charge any fees for sharing this job information.