Lead Product Analyst

Direction: Marketplace Ecosystem
Format: Remote / Hybrid
Team: Core Platform OR Growth
Position: Lead Product Analyst

About the Project

Birmarket is the largest marketplace in Azerbaijan, successfully operating for over five years. Every day we provide customers with modern online services and make online shopping as convenient and simple as possible. Our customer and partner base is growing rapidly, strengthening our leadership in the market.

We are currently looking for several Lead Product Analyst profiles (remote):

• Core Platform – an important area covering projects such as Search, Recommendations, and Content (these are now the company’s top priorities for development).

• Growth (closer to a Lead Product Marketing Analyst) – focusing on marketing analytics, promo codes, and CVM.

For Growth:

• Experience with traffic attribution on web;

• Experience with GA4, GTM;

• Experience with Firebase, AppsFlyer, Power BI, or Looker Studio is a plus.

For Core:

• Designing, conducting, and interpreting results of A/B tests;

• Generating and validating product hypotheses;

• Visualizing product metrics, setting up and maintaining dashboards.

Overall:

• Mentorship of team members;

• Preparing technical requirements for analytics integrations and ensuring their implementation.

You are a good fit if you have:

• 5+ years of experience in analytics, preferably in a product team;

• Strong SQL knowledge;

• English level B1 or higher;

• Knowledge of Power BI, Looker;

• Solid experience with A/B testing;

• Ability to present insights to non-specialists;

• Understanding of product cycles and UX metrics.

Challenges and Opportunities

• Working with data from multiple sources (internal + Kapital Bank, M10, Trendyol, etc.);

• Data is not always structured and clean;

• Business questions are not always straightforward and require deep analysis;

• Need to explain and communicate analytics to stakeholders, including C-level;

• Participation in CEO reporting.

Hiring Process

1. Call with Head of Data and Head of Data Analytics (general topics, metrics, experience check) – up to 1 hour;

2. Technical interview with experts (Python, Power BI, case studies) – 1 hour;

3. Final stage – interview with CPO (1 hour) focusing on business context understanding.