Team Leader of Product Analytics

inDriver; United Arab Emirates; Hybrid; AED 120,000 - 180,000; Full time

Job summary

A leading company in the UAE is seeking a Data Analyst to enhance product metrics and usability. The ideal candidate will have a strong background in data analytics, A/B testing, and proficiency in Python and SQL. This role offers a hybrid work model, health insurance, and opportunities for professional development.

Benefits

Stable salary and official employment

Health insurance

Hybrid work mode and flexible schedule

All necessary work equipment

Partially or fully paid additional training courses

Diverse internal training programs

Relocation package for candidates from other regions

Access to professional counselling services

Discount club membership

Qualifications

• 3+ years in data analytics or product analytics.
• Solid mathematical background in statistics, optimization, and causal inference.
• Hands-on expertise in A/B testing and statistical analysis.

Responsibilities

• Analyze product metrics to identify growth opportunities.
• Conduct A/B testing and maintain documentation.
• Provide recommendations to improve user experience.

Skills

A/B testing

Statistical analysis

Data analysis

Optimization

Causal inference

Python

SQL

BI tools

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field

Tools

Tableau

Redash

Job description

Responsibilities

• Analyze product metrics to identify growth opportunities and areas for improvement.
• Assess potential profit and impact of new product features or projects.
• Conduct A/B testing, including experiment design and result interpretation.
• Maintain clear documentation in the company’s knowledge base.
• Provide recommendations to improve product usability and user experience.
• Work with data teams to optimize data flows, ensure data quality, and develop product data marts.

Qualifications

• English B2, Russian C1-B2.
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years in data analytics or product analytics.
• Solid mathematical background in statistics, optimization, and causal inference.
• Hands-on expertise and deep understanding of A/B testing, statistical analysis, and experimentation methods.
• Proficiency in Python, SQL, and BI tools (e.g., Tableau, Redash).
• Experience in analyzing large datasets and designing data marts for product needs.

Conditions & Benefits

• Stable salary and official employment.
• Health insurance.
• Hybrid work mode and flexible schedule.
• All necessary work equipment.
• Partially or fully paid additional training courses.
• Diverse internal training programs.
• Relocation package for candidates from other regions.
• Access to professional counselling services including psychological, financial, and legal support.
• Discount club membership.