We’re looking for a talented Product Analyst to join our team. You’ll be responsible for:

Implementing a behavioral segmentation system;
Developing a metrics tree;
Generating hypotheses;
Designing and analyzing A/B tests;
Conducting event hygiene.

Our tech stack includes: Tableau/Amplitude for analytics, BigQuery as our database, Python for data warehousing, and Airflow for automation. Also, we’ve got a dedicated Data Engineering team and an ML community to collaborate with whenever you need or want to dive deeper.

Future challenges

Identify new growth opportunities for the product;
Develop and refine the metrics tree, identify dependencies, and track the impact of metrics across different levels;
Contribute to the discovery phase within the area;
Generate and test product hypotheses;
Design, launch, and analyze A/B tests;
Conduct event hygiene and create development tasks when needed;
Build dashboards;
Participate in the Analytics Community, share knowledge, and grow alongside like-minded professionals.

We expect

At least 2 years of experience in analytics for large-scale products;
Advanced proficiency in SQL;
Basic knowledge of Python;
Experience with visualization tools (we use Tableau, but Power BI, Qlik Sense, or similar tools are also fine);
Strong understanding of marketing and product metrics (including LTV, ROI, CPA, CPM);
Solid knowledge of statistics;
Skills in trend analysis, correlation analysis, and regression analysis;
Familiarity with customer segmentation approaches (e.g., ABC, RFM, etc.).

Advantages

Experience in conducting A/B testing.

We offer

Work on international markets;
Support and assistance in professional growth (seminars, courses, trainings, internal training);
The possibility of professional development and career growth;
Connection to medical insurance with dentistry in the first two weeks of work (including spouse and children);
Flexible start and end time of the working day;
Paid delicious lunches and coffee points in the office;
English language training with a corporate teacher;
Partial compensation for sports and recreation activities (sports, yoga, swimming pool, etc.), as well as classes with a psychologist;
Hybrid work format;
Cozy office in Tbilisi, Georgia.

Product Analyst

Garage IT

Product Analyst