Growth Data Analyst - Boost Orders per Day (Hybrid)

OrderYOYO

København

Hybrid

DKK 643,000 - 786,000

Full time

2 days ago
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Benefits offered by this job

Hybrid role bas Manchester
Autonomy over analysis

Job summary

OrderYOYO is seeking a Growth Data Analyst to identify where orders are lost and design experiments to recover them, across iOS/Android apps, partner websites, and marketing channels. You’ll conduct cohort and funnel analyses, design and run end-to-end tests, and present findings to influence product decisions.

This role is hybrid, based in the Manchester area, reporting to the Growth leadership. You’ll work with a cross-functional team including developers, marketers, and data engineers to move

Qualifications

  • 3 to 5 years in product, growth, or marketing analytics, ideally in a consumer app, marketplace, e-commerce, or food ordering business.
  • Strong SQL — able to write and debug multi-step queries over event and transaction data without help.
  • A track record of designing, running, and reading A/B tests, with the statistics to do it properly: power and sample size, significance, guardrail metrics, and common pitfalls.

Responsibilities

  • Own the end-user funnel view — from visit to order to repeat order — across apps and RP websites, by country and by restaurant partner.
  • Run cohort, funnel, and retention analyses to find leaks and estimate impact of fixes.
  • Turn findings into a ranked backlog of hypotheses with expected impact and effort.

Skills

SQL
A/B testing
Data storytelling
English communication
Experiment design

Tools

GA4
Power BI
Looker/Tableau

Job description

OrderYOYO is seeking a Growth Data Analyst to identify where orders are lost and design experiments to recover them, across iOS/Android apps, partner websites, and marketing channels. You’ll conduct cohort and funnel analyses, design and run end-to-end tests, and present findings to influence product decisions.

This role is hybrid, based in the Manchester area, reporting to the Growth leadership. You’ll work with a cross-functional team including developers, marketers, and data engineers to move

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