Data Analyst

Data Analyst

Function

MIS & Analytics

Reports to

CFO

Location

Head Office, Mumbai

Level

Mid-level (3–5 years)

Role Purpose

Own the data layer that powers daily decision-making across Operations, Culinary, Production and Purchase. Pull, clean, interpret and route information to the right department head so execution happens with speed and accuracy.

Key Responsibilities

•    Build and maintain daily, weekly and monthly data pulls from Petpooja, Barometer, Keka, Zoho Books and aggregator dashboards.

•    Generate outlet-wise P&L snapshots, food cost variance, wastage, item-level contribution and labour productivity reports.

•    Maintain the R&D pipeline tracker and the founder accountability dashboards.

•    Translate raw data into 3–5 line decision briefs for each department head — Operations, Growth, Culinary, Procurement.

•    Flag anomalies proactively: stock variance, cost spikes, item velocity drops, outlet performance dips.

•    Build new tracking systems as the business scales from 6 to 15 outlets, including data integrity standards.

•    Support CFO and Founders with ad-hoc analysis for vendor negotiations, expansion modelling, investor updates and board reporting.

•    Maintain version-controlled data documentation — source of truth, definitions, refresh cadence and ownership.

Must Have

•    3–5 years in a data / analytics role; F&B, QSR, retail or D2C strongly preferred.

•    Advanced Excel / Google Sheets — pivot tables, lookups, array formulas, basic Apps Script.

•    Working knowledge of SQL; comfort with at least one BI tool (Looker Studio, Power BI, Metabase or similar).

•    Strong written communication — must summarise a number into a sentence a busy operator can act on.

•    High ownership and zero ambiguity tolerance — chases incomplete data to closure.

Good to Have

•    Exposure to Petpooja, Barometer, Keka, Zoho ecosystem.

•    Python for data manipulation; familiarity with APIs.

•    Experience in a multi-outlet or cloud-kitchen environment.

Success Metrics / KPIs

•    100% on-time delivery of daily, weekly and monthly dashboards.

•    Data integrity score across outlets > 98%.

•    Number of insight-led decisions tracked per quarter.

•    Reduction in time-to-decision for CFO, COO and Founders.