Business Analyst

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.

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 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.

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.