Business Analyst

Purplle.com; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Purplle.com is seeking an analytics professional to turn data into decisions across the Fulfillment Centers, Distribution Centers, and dark stores. You will rely on SQL and AI-assisted analysis to uncover drivers and patterns that influence leadership actions.

Responsibilities include building dashboards, validating data integrity, and communicating findings as business insight. A strong quantitative background and curiosity with AI tools are essential.

Qualifications

• Bachelor's degree in Engineering, Statistics, Economics, or another quantitative field.
• 1–3 years of experience in business or data analytics — supply chain, e-commerce, or quick-commerce background preferred.
• Strong, hands-on SQL — comfortable writing complex joins, window functions, and large-scale queries on BigQuery or equivalent, not just SELECT statements.
• Genuine curiosity and hands-on comfort experimenting with AI tools to push analytics past standard reporting.
• Strong Excel/Google Sheets skills for quick modeling and validation.
• Ability to convert ambiguous business questions into structured analysis without heavy hand-holding.
• Sharp communication — can present numbers as a business story, not a data dump.

Responsibilities

• Write and optimize complex SQL against BigQuery to extract and validate data across systems.
• Build and maintain dashboards (Looker Studio, Metabase) tracking key metrics across FC/DC/DS network.
• Translate raw data into insights usable by non-technical stakeholders.

Skills

SQL proficiency

AI experimentation

Excel/Sheets

Business storytelling

ambiguous questions to structured 분석

Education

Bachelor's degree in Engineering/Statistics/Economics or quantitative field

Tools

Looker Studio

Metabase

Power BI

Python (pandas)

Job description

About The Role

Purplle's supply chain runs on data — network movements, CPT, DPMO, inventory, and cost, generated daily across Fulfillment Centers, Distribution Centers, and Dark Stores. This role exists to turn that data into decisions. You will work with SQL as your primary instrument and AI as your default multiplier — not to make existing dashboards marginally faster, but to find the non-obvious pattern, the hidden driver, the insight that changes what leadership does next. We are looking for someone who treats AI-assisted analytics as a genuine craft — experimenting with new ways to query, model, and explain data faster and better — while staying rigorous about what the numbers actually mean.

Core Analytics & Reporting

• Write and optimize complex SQL — joins, window functions, CTEs — against BigQuery to extract and validate data across Easyecom, SAP, and internal warehouse systems.
• Build and maintain dashboards (Metabase, Looker Studio) tracking DPMO, CPT breach, inventory loss, cost, and productivity across the FC/DC/DS network.
• Translate raw operational data into insight that is immediately usable by non-technical stakeholders.

AI-First Analytics Innovation

• Use AI/LLM tools to accelerate exploratory analysis, generate hypotheses, and surface patterns a standard query would miss.
• Experiment with AI-assisted approaches — natural-language-to-SQL, automated anomaly detection, AI-generated insight summaries — to cut analysis turnaround time.
• Build reusable AI-assisted analytics workflows and templates that raise the baseline speed and quality of the wider analytics team.

Business Impact & Decision Support

• Partner with ops, logistics, and inventory stakeholders to frame the right analytical question before building anything.
• Quantify the impact of process changes, cost initiatives, and automation projects with rigorous before/after analysis.
• Present findings in a way that drives a decision — not a chart that gets acknowledged and shelved.

Data Quality & Governance

• Validate data integrity across source systems (SAP, Easyecom, WMS) before it reaches a dashboard or deck.
• Flag and help resolve upstream data quality issues that distort network-level reporting.

What Success Looks Like

• Insight that changes a decision — not a chart nobody reopens.
• Turnaround time on ad-hoc analysis measurably shrinks as your AI-assisted workflows mature.
• Dashboards stakeholders check on their own, without being chased.
• A reputation as the person who finds the story in the data everyone else scrolled past.

What We're Looking For

Must Have

• Bachelor's degree in Engineering, Statistics, Economics, or another quantitative field.
• 1–3 years of experience in business or data analytics — supply chain, e-commerce, or quick-commerce background preferred.
• Strong, hands-on SQL — comfortable writing complex joins, window functions, and large-scale queries on BigQuery or equivalent, not just SELECT statements.
• Genuine curiosity and hands-on comfort experimenting with AI tools to push analytics past standard reporting — this is a mindset requirement, not a checkbox.
• Strong Excel/Google Sheets skills for quick modeling and validation.
• Ability to convert ambiguous business questions into structured analysis without heavy hand-holding.
• Sharp communication — can present numbers as a business story, not a data dump.

background preferred.

Good to Have

• Working exposure to Python (pandas) for analysis and automation.
• Familiarity with visualization tools such as Looker Studio, Metabase, or Power BI.
• Prior exposure to supply chain or logistics data — STO, IWT, inventory, CPT, DPMO.

About Company

Founded in 2011, Purplle has emerged as one of India’s premier omnichannel beauty destinations, redefining the way millions shop for beauty. With 1,000+ brands, 60,000+ products, and over 7 million monthly active users, Purplle has built a powerhouse platform that seamlessly blends online and offline experiences. Expanding its footprint in 2022, Purplle introduced 6,000+ offline touchpoints and launched 100+ stores, strengthening its presence beyond digital. Beyond hosting third-party brands, Purplle has successfully scaled its own D2C powerhouses—FACES CANADA, Good Vibes, Carmesi, Purplle, and NY Bae—focusing ...