Streamlining Returns for a Tokyo D2C Cosmetics Startup

FreeVerified credential1 weekIntermediate

Overview

What this challenge is about.

Streamlining Returns for a Tokyo D2C Cosmetics Startup. Intermediate challenge in analysis. Analyzing real datasets and building models that drive decisions,...

CredentialBlockchain-anchored

ShareableLinkedIn-ready

LanguageEnglish

PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

The manual returns process causes long cycle times (avg 10 days), high cost (€12 per return), and low customer satisfaction (NPS 30).

This is not a data exercise. It is the work an analyst or data scientist does when stakeholders need answers from messy data. That distinction matters to every hiring manager who has seen candidates describe statistical methods and none who have extracted insight from messy, incomplete, real-world data.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

Model business processes using BPMN notation
Analyze process performance and identify bottlenecks
Design improved processes with measurable outcomes
Define process metrics aligned with business goals

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

Skills

Skills you'll demonstrate.

Each one shows up on your verified credential.

Careers

Career paths this challenge builds toward

Completing this challenge demonstrates skills that transfer directly to these roles:

Career paths this builds toward

Canonical roles

Process Analyst
Most organizational pain is process pain in disguise. A process analyst is the person who maps how work actually flows — the handoffs, the rework loops, the steps that exist only because someone left three years ago — and proposes changes that stick. The role uses tools like BPMN 2.0 and frameworks like ADKAR, but the real craft is interviewing the people doing the work without making them defensive. Students grow into this through coursework in operations, systems thinking, and early exposure to messy real-world processes. Good process analysts pair root-cause discipline with diplomatic instincts, and write documentation clear enough that the next analyst, two years from now, can pick up where they left off.
Data & Analytics

One more thing

You can put a credential on your CV by Friday.

Start this challenge