Вакансия Product Analyst

Skills

• Firebase
• AppsFlyer
• SQL
• Looker
• Python
• R
• dbt
• Google Ads
• Google Tag Manager
• GrowthBook

Описание вакансии

We’re looking for a Product Analyst with strong expertise in iOS and web analytics to join our Analytics Team. You will work closely with the CleanMyPhone product team – as the product enters its next growth stage, it needs a data-savvy individual who understands how to drive scale through informed decision-making, particularly in optimizing Facebook traffic acquisition and budget efficiency.
You’ll be working on CleanMyPhone at an exciting growth stage with a clear opportunity to make your impact. If you thrive at the intersection of data, mobile growth, and product strategy, this role is for you!

In this role, you will:

• Own the analytics infrastructure for the product, including data collection, processing, storage, and security across both iOS and web platforms.
• Deliver actionable insights by analyzing product performance, user behavior, market trends, and growth opportunities.
• Support scaling efforts by evaluating and optimizing FB traffic acquisition strategies and ensuring effective budget use.
• Design and maintain dashboards, reports, and anomaly detection systems to monitor key metrics and ensure data visibility for the product team.
• Validate product hypotheses and A/B test results to guide smarter product development decisions.
• Define and advise on relevant KPIs and success metrics to track progress toward team and business goals.
• Educate and align the product marketing team on analytics concepts, metrics, and tools by providing training and clear documentation.

Skills you’ll need to bring:

• Mobile app marketing analytics (Firebase, AppsFlyer - setup, understanding attribution).
• High level of SQL.
• Web Analytics & Tracking (GA/GTM).
• Deep understanding of marketing metrics and Meta Ads traffic attribution models (SKAD, web2app, web2web), and how these metrics affect business results.
• BI Tools (we use Looker).
• Creating reports for different levels of decision-making.
• Searching for insights in data and investigating root causes of changes.
• Planning and analyzing experiments, knowledge of statistics, and probability theory.
• Critical, systemic, and analytical thinking.

As a plus:

• Python/R, DBT.
• Experience in adapting analytics to GDPR requirements.
• Experience in working with Google Ads, ASA, Affiliate marketing.
• Unit economics.
• Google Tag Manager (+Server Side).
• Growthbook.