Data Analyst for the Alice Response Relevance Team

Alice is a virtual assistant and friend who not only entertains people but also simplifies solving regular everyday tasks. We already have over five million users, and we continue to do everything to make Alice even smarter and more useful for them.

Every day we search for answers to many questions: * How to assess the success of interaction between Alice and the user? * Did we find the right song from TikTok? * How many queries did the user have to ask to hail a taxi? * Do we manage to respond and tell users about Alice's available features? * Are there any other unmet user needs that they ask about, but we cannot answer? * How to think through minimal yet sufficient quality requirements for launching a new feature into production? * Are our music recommendations good enough? How do we measure this "goodness"?

What tasks await you

Assessment of Alice's baseline quality and quality metrics This includes analyzing user interactions with Alice and measuring key satisfaction and communication effectiveness metrics across various devices and applications — on stations, TV, in the navigator, and chats.

DWH Development Development of applied, problem-oriented DWH for solving tasks in both product analytics and RnD.

Product Analytics Analysts' tasks include the constant search for product growth points through the analysis of data of different modalities: voice commands, text queries, visual interactions with the device. The team is responsible for implementing and controlling the quality of new functions, conducting A/B testing of hypotheses, and analyzing the impact of changes on the overall user experience.

We expect that you

• Love working with data and know how to extract practical results from it
• Know mathematical statistics and probability theory
• Write in Python and know algorithms
• Are independent and ready to take on new tasks for which there is no ready-made solution
• Have conducted A/B tests
• Have worked as an analyst for more than two years
• Quickly absorb a lot of new information

Working conditions

• A position in a strong team and opportunities to grow
• Complex tasks for services with millions of users
• An opportunity to influence the process and the result
• Market-level and above market-level salary
• Bonuses every six months for everyone who has successfully passed the review
• An extended voluntary health insurance (VHI) program, reimbursement of 80% of the VHI cost for spouses and children
• Flexible work schedule