Product Data analyst

United Tech is looking for a Product Data Analyst who will be able to help in building a product & marketing analytics department for their social platform and find new insights proved by data.

Product Data analyst
English: Intermediate

About company: United Tech is an international product team. They build mobile and web products using AI & ML technology for the social networking domain. The products are well-known among users from the US, UK, Canada, and leading European and Middle East countries. 

Product: Video-streaming platform; Video-communication platform. 

Team: 130 people. 

Analytics team: 6 analytics and 2 Data engineers.

Key responsibilities:

- Finding data patterns and dependencies between data and metrics

- Provide analytical support to our product and marketing teams

- Create reports and analyze product metrics (LTV, churn rate, cohorts, retention, a-ha moment, etc.)

- Research and conclude on results of A/B tests and provide insights for improvement

- Automate reporting process and create dashboards for different stakeholders

- Operational monitoring of key metrics and determining the causes of deviations from the expected values


- 2+ years of experience working as a Product or Data Analyst

- Full proficiency in SQL

- Full proficiency with data visualization tools (Data Studio, Tableau, Power BI, Apache Superset, Qlik, etc.)

- Solid knowledge of key product metrics, experience in building funnels and making recommendations based on them

- Knowledge of statistics fundamentals and experimental design

- Understanding of both statistics and regression methods

- Experience with A/B and Multivariate testing techniques and measurements

- Experience in delivering analytical solutions for complex product-related tasks (user pattern research, supporting experiments, feature analysis to improve product metrics, use-cases analysis, etc.)

Will be a plus if it is also about you:

- Knowledge of Python or R

- Full proficiency in Tableau

- Experience in creating prediction models, segmentation

- Experience with mobile applications

English: Intermediate+

What we offer:

  1. Vacation - 20 working days
  2. Sick leaves - 15 days
  3. English lessons
  4. Sport compensation
  5. Health insurance
  6. Coworking compensation
  7. Corporate education. 

Hiring process:

- Intro call with a Recruiter

- Interview with Head of Product and Senior Product Manager

- Test task (3-4 hours)

- Bar-raising and Reference Check

- Offer

Our recruiter
Katerina Zaika
Katerina Zaika
Contact a recruiter
Lead, Senior
Yuliia  Kril
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Марта Стопец
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