Business Intelligence Analyst

This opening suits analysts who have outgrown classroom datasets and want to work on the data behind how food products are planned, moved and delivered at global scale. The team supports supply chain decisions across a well-known consumer goods business, and the role is built to help early-career analysts learn the domain while delivering real work.

Why This Role Matters

Supply chain decisions depend on data that is clean, current and easy to read. Your work sits between raw systems and the people who act on the numbers. When a dashboard loads correctly and the figures match the source, planners trust it and use it. When it does not, they stop using it. Accuracy is therefore the core of this job, and the posting stresses validation and consistency for that reason.

You will not be asked to design complex architectures on day one. The scope is low-complexity projects, with senior team members and data engineers guiding the heavier modelling work.

Systems and Tools You’ll Handle

The stack is a mix of cloud and enterprise tools: Google Cloud Platform BigQuery SQL Server Tableau Advanced Excel SAP ERP

Working across these gives you exposure to both modern cloud analytics and traditional ERP-driven reporting. The SAP and SQL Server side teaches you how business transactions are stored. The BigQuery and Tableau side teaches you how that data becomes insight. Many data analysts only see one of these worlds, so experience in both can be a real advantage later.

A Typical Day in This Role

Expect your day to move between three kinds of work. You will write and run queries to pull and reshape data, build or refine Tableau views and automations, and check your outputs against source numbers before sharing them. Between these tasks you will talk to stakeholders, some technical and some not, about what a report should show and when it is due.

You are also expected to call out risks early. If a data source looks inconsistent or a deadline looks tight, raising it with a senior colleague is part of the job description, not a sign of weakness.

Shift and Work Environment

The afternoon-to-evening shift usually overlaps with the working day of global stakeholders. Candidates should be comfortable with this schedule before applying, since it affects commuting and daily routine in Mumbai.

Skills Snapshot: Required and Preferred

What Recruiters May Evaluate

Interviews for analyst roles like this usually test SQL fluency first. Be ready to write joins, aggregations and window functions, and to explain your reasoning aloud. Expect questions on how you would validate a dashboard against its source, and how you would handle missing or duplicate records.

In analytics hiring, the candidate who explains how they checked their numbers often stands out more than the one who builds the fanciest chart.

Things Worth Learning Before Applying

If your supply chain knowledge is thin, spend a few evenings on the basics. Understand terms like inventory turnover, order fill rate, lead time and forecast accuracy. Practise BigQuery on sample public datasets, since its syntax and cost model differ slightly from SQL Server. A short Tableau project built around a logistics or retail dataset also makes a strong portfolio piece for this particular role.

Entry-level Google Cloud or Tableau certifications are listed as preferred, so they can strengthen your profile if you hold them.

Resume Tips for This Role

Lead with measurable data work: the size of datasets you handled, the reports you automated, and any time you saved a team. Name tools exactly as they appear in the posting so ATS filters pick them up. If you have worked on any ETL task, even a small one, give it its own line instead of burying it in a paragraph.

Hiring Journey at a Glance

flowchart LR
A[Resume Screening] --> B[SQL and Tool Assessment]
B --> C[Technical Interview]
C --> D[Final HR Round]

This is a typical analyst hiring flow. The exact steps for this role are decided by the company.

Career Direction After This Role

With a year or two in this seat, analysts commonly progress toward senior BI analyst or data analytics roles, and the team’s similar openings show that a path exists at the Associate and Senior levels. Those who build supply chain depth can also move toward planning analytics or data engineering, depending on their interests.

Keywords for Resume

Business Intelligence • Tableau • SQL • BigQuery • Google Cloud Platform • ETL • SQL Server • SAP ERP • Advanced Excel • Data Visualization • Data Validation • Supply Chain Analytics • KPIs • CPG • Dashboard Automation • Stakeholder Communication

Final Thoughts

This is a practical first step for analysts who want structured learning inside a large consumer goods company, with real tools and senior guidance. Candidates who are comfortable with the shift timing and keen to learn supply chain concepts will find the role rewarding.