Senior Product Analyst( А17 )

24 Сентября

Партнерские Вакансии

Компания "А17"

Responsibilities:

• Defining key factors and metrics that impact pricing efficiency across various directions
• Identifying interrelationships between metrics and determining correlation coefficients
• Building dashboards to answer key business and product questions
• Identifying inefficiencies in the current pricing system, dispatching, and overall product
• Proposing hypotheses and implementing them with subsequent effect measuremen
• Conducting research and behavioral analysis

Ideal Candidate:

• ​​Experience as a product analyst for at least 2 years
• High proficiency in SQL and Python, as well as data storytelling
• Basic understanding of ETL processes
• Understanding of basic Data Science approaches
• Analytical and systematic thinking, ability to quickly process large amounts of information and draw conclusions
• Strong verbal and written communication skills; ability to present complex information clearly and persuasively
• Exceptional analytical and quantitative problem-solving skills; ability to interpret complex data and translate it into actionable strategies
• High level of autonomy
• You value a diverse and fast-paced business environment, and hence couple your passion for big data with pragmatism to drive actions and impact
• English language proficiency at C1 level or higher Ideally, if you have experience with dynamic pricing

Important note!
The company hires employees outside the Russian Federation and the Republic of Belarus

Why Join Us?

• ​​​​​​​Full freedom and responsibility for the analytical parts of the product, with the opportunity to create something that will increase business metrics by tens of percentage points
• The chance to be part of a company during its rapid scaling both geographically and in terms of product line
• The possibility to work from almost anywhere in the world

Role Mission:

We have a wealth of historical information in our database that can be put to use. We have hypotheses about which factors can be added to our system algorithms to make the entire system (and the pricing algorithm in particular) more efficient. You will take on the role of someone who isn't afraid to dive into Big Data, derive the right conclusions, and iteratively implement hypotheses while monitoring the results through data. We will provide you with maximum freedom and support.