• 🧳 Relocation Support
  • Discussed on a case-by-case basis
• 💰 Permanent Global Contract
  • With a competitive salary
• 🏥 Private Healthcare
  • From day one
• 💻 Top-Tier Tech Setup
  • Brand new MacBook + full onboarding kit
• 🧠 Career Growth Framework
  • Clear, personalised, and fast-moving
• 🎯 Bonus Scheme
  • Performance-related, quarterly paid
• 🌴 14 Days PTO + Public Holidays
  • Real time off
• 🧪 Hybrid Working
  • 3 days in the office per week
• 🍛 Refreshments
  • Free Lunch and Dinner every day for you to enjoy

What You’ll Do

1. Support our clients:

Design analytics products for our clients to access and utilize our anonymized data

Proactively identify insights for our clients to secure value-capture and motivate them to accelerate the deployment of our solution(s)

2. Support our Patient Lifecycle team (user acquisition and engagement):

Build and maintain their performance dashboard

Help identify opportunity for improvement

3. Support our Product team:

Monitor product/feature performance, proactively flagging issues.

Generate hypotheses for product improvement

4. Support our Data Engineering team:

Maintain strong data governance by defining data schemas and consistent naming conventions to ensure maintainability of the solution,

Ensure data integrity and security by defining relevant user permissions (internal and external users), and not collecting nor exposing unnecessary data,

Define & implement cost-efficient data analytics pipelines and storage solutions, leveraging Google Cloud Platform data solutions in particular,

Define, select and implement our Customer/Patient Data Platform

What You’ll Need

• 5+ years of experience in a data analyst role or relevant.
• Excellent communication skills in English: clear, synthetic, precise, engaging.
• Excellent business-value mindset: prioritise and communicate the business value of each analysis in an intelligible manner for non-expert stakeholders.
• Proven experience of in-app analytics with hands-on experience with main vendors
• Proven experience in statistical modelling using mainstream software and languages (R, Python, SAS, SPSS...)
• Expert in SQL
• Familiar with GCP data solutions: Data Studio, BigQuery, Firestore extensions, GA, IAM, …
• Proven experience of building data pipelines / ETL and designing dashboards