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ТО

Тогл Софт / Toggle

Head of Data Analytics

ГибридLeadМинск, Беларусьвчера
СИГНАЛ JOBRADAR75/100Нормальный сигнал актуальности
ПАСПОРТ ВАКАНСИИ

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Балл строится только на фактах из источников: свежести подтверждения, возрасте записи и происхождении вакансии. Это не гарантия найма и не оценка работодателя.

Последнее подтверждение6 мин. назад
Впервые замеченавчера
Активные источники1 источник
ПроисхождениеПубличный источник
О ВАКАНСИИ

Описание вакансии

Toggle is a product company building eSIM and VPN solutions for global connectivity across all major platforms, including mobile, desktop, and TV.

Role Overview

We are looking for a Head of Data Analytics to join our team as product metrics architect.

This specialist will not only build analytics but also directly impact product profitability by transforming raw data into growth hypotheses and data driven decisions.

Direct Manager: CEO. You will work closely with the СFO, CTO, Head of Marketing, Growth Marketing Manager.

Location: Minsk / other locations

Format of work: Hybrid in Minsk (4 days in the office, 1 remote), fully remote across Belarus and abroad.

Responsibilities

  • implementation of storage systems, ETL/ELT processes and BI. Data quality control;
  • building an analytical infrastructure: integrating data from mobile applications (iOS/Android), MMP and Web to obtain an event model at all stages of the user's lifecycle;
  • unit economics and LTV modeling: building unit economics models (CAC - LTV), prediction of key indicators (LTV, revenue, conversions, retention), developing scenario models (best/base/worst case scenario);
  • advanced experiments: development and analysis of A/B tests in product and marketing, development of a calculator of statistical significance and forecasting of results;
  • product analytics: analysis of the product feature usage, their impact on retention and the reasons for churn;
  • marketing analytics: analyzing the efficiency of acquisition channels, searching for growth points in marketing funnels;
  • search for growth points: generating and testing hypotheses to increase conversion and monetization at all stages of the user's lifecycle.

What We Expect from You

Hard Skills:

  • tech stack: advanced SQL, Python, BI systems;
  • experience in building predictive models, ML approaches;
  • practical experience in designing and building analytical infrastructure;
  • strong skills in building and maintaining data…

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ИсточникHeadHunter / IT / BY