A product analyst in Kolesa.kz

Kolesa Group is an international IT company that builds classifieds for 12.5 million users. Our products are kolesa.kz | krisha.kz | avtoelon.uz — helps people and businesses to sell, buy and own cars, real estate, goods and services.

The culture of experimentation and data driven, team spirit, technology, constant development and the desire to achieve cool results are the hallmarks of the Kolesa Team.

About the vacancy:

We are looking for a Product/Data analyst at kolesa.kz, which will analyze the condition of the product and help improve it.

You will be part of a team of analysts (50+ specialists) gathered from different parts of the world. We work closely with product managers, researchers, and developers to make data-driven decisions and influence product strategy.

Analytics at Kolesa Group is a key driver of growth. If it's important for you to see how the results of your work directly affect your business and help users, then you should definitely contact us!

You will have to:

• Analyze application and website metrics to make product decisions;
• To help businesses with the formation, prioritization and implementation of a strategy;
• Monitor and evaluate the introduction of new product features through experiments. We use a very wide range of tools and conduct about 300 experiments per year.;
• Search for insights in a large amount of data to form a product strategy;
• Immerse yourself in discovery processes together with products, researchers, designers and developers;
• Visualize data, create reports, and draw conclusions;
• Formulate and test hypotheses (A/B tests, Causal Inference experiments, Causal ML, etc.);
• Actively work with DWH engineers and ensure the quality of our data system;
• Use ML tools to better understand and solve business problems and build ML solutions.;
• To develop and study new methods of data analysis in the product. We try to follow state-of-the-art solutions in data analysis.

We expect you to:

• Deep understanding of conducting experiments (A/B testing, Causal Inference, Advanced methods);
• Experience in product analytics and understanding of key metrics;
• Strong command of SQL and experience working with Python.
• Experience in applying analytics to solve business problems. The ability to connect business and analytical context in both directions.

It will be an advantage:

• Experience working with the Google Cloud stack (our DWH is built on Google Big Query) or other cloud storage;
• Knowledge and experience in BI systems (we use Microsoft Power BI);
• Experience working with ETL and orchestration systems (preferably Airflow);
• Experience working with ML to solve analytical or business problems.

By becoming a part of the Kolesa Team, you will receive:

• Hybrid format: offline in an office in Almaty with the possibility of working from home 2-3 times a week;
• Work in a strong team where mutual assistance, result orientation and continuous development are valued.;
• Continuous growth: grading system, individual development plans, mentoring;
• Thematic events: quizzes, movie nights, Family Day, team building;
• Medical insurance, airfare, fitness, education, and more — your choice of where to use the social package;
• Training: we pay for participation in conferences, trainings, master classes
• Corporate discounts from our partners.