Senior Consumer Product Analyst (remote)

You’ll be a Senior Product Analyst within the Consumer Product Tribe combining the world of data with product development. You’ll be deciding which data to track, metrics to measure, looking for insights and interpreting them to the product team and the business. The specificity of the position lies in a deep understanding of product development and its optimization usually with the help of AB testing.

    What will you do?

  • Define, report and own product KPIs and metrics
  • Architect and design our event tracking together with Product, BI and Engineering teams
  • Generate the analytical insights geared towards Product improvement
  • Track the performance of the Product over time and interpret the changes
  • Track and report on newly released features
  • Control the quality of the data in cooperation with the Business Intelligence team 
  • Set up and report on online experiments 
  • Produce analyses of historical data to suggest & support decision making
  • Present findings, answering specific business questions or improving product 
  • Collaborate with Financial analysts, Data Scientists, and Data Engineers
  • Work in close cooperation with Product Managers/Designers
  • What do we expect?

  • 4+ years of experience as a data analyst
  • Strong analytical thinking 
  • Strong experience in consumer facing funnels and metrics analysis, ie. Conversion Rates, Attachment Rates, Retention Rates, LTV etc. 
  • Advanced SQL knowledge (We are using PostgreSQL and BigQuery)
  • Experience with some data visualization tools (like GoodData, Looker, Tableau, etc.)
  • Experience with Frontend or Mobile app Analysis
  • Deep knowledge of data collection on the web (JS events tracking)
  • Regression and clustering analysis knowledge and hands-on experience 
  • AB testing hands-on experience
  • Advanced level of English
  • Ability to work independently
  • Medium or higher Python/R knowledge for data analytics (pandas, scikit learn, seaborn/plotly, airflow) is a nice plus
  • Common Statistical methods knowledge and modeling experience (regression, classification, resampling, Markov models, etc.)
  • What’s in it for you?

  • Freedom to try new things and unleash your ambitions.
  • Competitive package.
  • Contractor based work relationship.
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michaela-hoferovaRecruiterMichaela Höferová

Linkedin profile

LocationMoscow, Russia

TeamBI & Analytics

Employment typeFull-time

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