Business Analyst

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
1-3 years
Mumbai, Maharashtra
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 4 Nov 2026

Posted: 1 month ago
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Job Description

About The Role

  • Purplles 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.

Key Responsibilities

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

a 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 Were Looking For

Must Have

  • Bachelors 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.

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 Indias 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—offering trend-driven, high-quality beauty essentials.

What sets Purplle apart is its technology driven hyper-personalized shopping experience. By curating detailed user personas, enabling virtual makeup trials, and delivering tailored product recommendations based on personality, search intent, and purchase behavior, Purplle ensures a unique, customer-first approach.

In 2022, Purplle achieved unicorn status, becoming Indias 102nd unicorn, backed by an esteemed group of investors including ADIA, Kedaara, Premji Invest, Sequoia Capital India, JSW Ventures, Goldman Sachs, Verlinvest, Blume Ventures, and Paramark Ventures.

With a 3,000+ strong team and an unstoppable vision, Purplle is set to lead the charge in Indias booming beauty landscape, revolutionizing the way the nation experiences beauty.

Skills

Data AnalyticsPythonData IntegrityVisualizationAnalyticsAiSqlLlmPandasBusiness AnalystAnalyst

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