Weekday AI
Weekday AI

Business Analyst - Process & Automation

Weekday AI
Mumbai, MH, IN
Full-time3+ yrs
7ds ago0 view0 clicked apply

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This role is for one of Weekday’s clients
Salary range: Rs 500000 - Rs 1500000 (ie INR 5 - 15 LPA)


Min Experience: 3+ years
Location: Mumbai, Maharashtra, India
JobType: full-time

ROLE SUMMARY:

Work directly with the owner to map business processes, find and fix gaps, design improved systems, and execute them in software (Python / pandas / Excel). Act as the quality filter between the owner and the team — reviewing all incoming analytical work (quotations, Excel models, formulas) for errors, structure and logic.

Requirements

KEY RESPONSIBILITIES:

1. Understand business processes by talking to people across departments and asking the right questions; map current process flows (production planning, forecasting, costing, and similar areas).

2. Identify gaps in processes, design improved systems, and implement them using Python/pandas/Excel or equivalent tools.

3. Build and maintain automation for recurring analysis and reporting.

4. Review the team's Excel work — quotations, formulas, models — as a filter before it reaches the owner: check for errors, structure and logic.

5. Translate the owner's requirements into working, tested solutions and execute end to end.

MUST-HAVE SKILLS:

- Strong Excel: formulas, structuring workbooks, auditing other people's sheets

- Python with pandas (or equivalent data tools — must be able to deliver the same outcomes)

- Analytical, structured, logical mind with strong error-catching ability — accuracy is critical in this role

- Good communication skills — comfortable talking to people to extract process knowledge; personable and easy to talk to, not a silent back-office profile

GOOD TO HAVE:

- Business/commercial awareness (costing, quotations, planning)

- Manufacturing or SME exposure

- Graduate in engineering / statistics / commerce with a strong quantitative bent

Must-have skills

Python, Business Process Mapping

Good-to-have skills

Computer Science, engineer

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