February 22, 2021

Аналитик / Dostavista.global

Dostavista.global - one of the biggest and most technologically advanced players in the global same-day delivery market. We deliver unparalleled convenience to businesses and people, all the while creating millions of self-managed courier jobs. Our couriers, like modern taxi drivers, work via mobile apps on their own schedule.

Responsibilities

  • Calculate and monitor key product metrics, create and support dashboards
  • Take part in hypothesis testing, analyze results of experiments
  • Investigate anomalies in key product metrics, interpret results of monitoring
  • Collaborate with Product Management and Leadership Team in making product and business decisions based on data insights and experiments analysis
  • Take part in various RnD tasks related to routing and couriers assignment algorithms, fraud detection, costs optimization, couriers and clients behavior investigations, etc
  • Identify and report on cases of missing data, data inconsistency bugs
  • Create time series metrics forecasts

Technical requirements

  • 3+ years of experience in the field of Data Analytics/Product Analytics
  • Strong knowledge of conventional statistical techniques in data analysis
  • Fluent with SQL and are able to write complex and performant queries with no assistance
  • Able to clean a dataset and conduct data analysis in Python or similar language
  • Experience with experimentation and A/B testing methodology
  • Experience with Tableau
  • Ability to formalize and visualize the results of the data analysis
  • Experience with predictive modeling

Non-technical requirements

  • Written English
  • Attention to detail and accuracy

What do we offer

  • 150 000+ rub net salary
  • Ability to work remotely (both partially and completely);
  • Equipment for work: laptop, additional monitor, headset, and so on;
  • Flexible schedule: we work at a convenient time, the main thing is to be in touch during the main working hours;
  • Horizontal structure without strict subordination and bureaucracy;
  • Official employment and salary;
  • The annual indexation of salaries and the feedback from the head;
  • Education: own library, paid courses and conferences.

Почта: [email protected]