Head of Growth Analytics & Experimentation

qlub

Abu Dhabi

On-site

AED 200,000 - 320,000

Full time

3 days ago
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Job summary

qlub is seeking a Lead Product Analytics professional to own the experimentation engine and analytic data model that underpins growth across a multi-market fintech platform. You will guide a small analytics team and partner with Product, Operations, Tech, and Data Engineering to enable rapid, AI-assisted decision making.

The role emphasizes building scalable experimentation capabilities, governance of data definitions, and mentoring non-technical stakeholders to mature analytics practices in a

Qualifications

  • 5+ years in analytics or data science at a data-driven company
  • Hands-on experience building or scaling an experimentation programme with solid statistics
  • Strong data modelling: dimensional modelling, SCDs, event schema design
  • Track record of driving change and getting non-technical teams to adopt new practices
  • Clear communication with executives and non-technical stakeholders

Responsibilities

  • Own end-to-end experimentation platform: design, test, sample sizing and governance
  • Coach PMs and ops leads to run sound experiments and create playbooks and templates
  • Define analytical data model and ensure consistent joins across product flows
  • Establish data contracts and governance with Tech and Data Engineering
  • Lead and grow a team of analysts (3 junior, 1 senior)

Skills

Experimentation
Data modelling
Leadership
Stakeholder communication

Tools

dbt
Airflow
Git
BigQuery
ClickHouse

Job description

qlub is seeking a Lead Product Analytics professional to own the experimentation engine and analytic data model that underpins growth across a multi-market fintech platform. You will guide a small analytics team and partner with Product, Operations, Tech, and Data Engineering to enable rapid, AI-assisted decision making.

The role emphasizes building scalable experimentation capabilities, governance of data definitions, and mentoring non-technical stakeholders to mature analytics practices in a

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