MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.
At MacPaw, we believe humans and technology can reach their greatest potential together.
MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.
We make software that simplifies the lives of millions of Mac users. Data has always played a key role in shaping our products, from major strategic decisions to daily improvements. Now we’re looking for a Product Analyst to help the CleanMyMac Business team keep the product data clean, relevant, and actionable.
CleanMyMac Business is a new product of the CleanMyMac product family that will help organizations maintain their Apple devices and improve their security. We are building an innovative solution for B2B that scales fast, iterates fast, and has no time for bureaucracy. And you can be one of our reasons for success.
You will monitor and maintain the health of product’s analytical ecosystem — from dashboards to ad tracking — and be a key partner to product managers and marketers, helping to make sense of user behavior, evaluate experiments, and support strategic initiatives with data that matters.
Your mission will be ensuring the product teams always have access to reliable insights, dashboards, and reports that truly support decision-making.
Explore and analyze product usage data to provide actionable insights and recommendations to improve user experience and product performance.
Analyze the product sales funnel and identify hypotheses for its optimization.
Play a key role across all stages of A/B testing - from hypothesis formulation to generating conclusions based on the results.
Build reports in Looker Studio.
Prepare a DBT data model for use by other analysts in their reporting.
Work through the stakeholder's request and propose the best solution by adapting existing dashboards and data models.
Strong critical, systemic, and analytical thinking.
2+ years of experience in Product App & Web Analytics.
Experience creating reports for different decision-making levels — from operational to strategic.
Hands-on experience with BI tools (we use Looker).
Solid SQL skills.
Good knowledge of DBT.
Experience in experiments planning and analysis. Strong understanding of statistics and basic probability theory.
Proactivity, attention to detail, structured thinking, and the ability to formulate clear and concise conclusions.
Knowledge of Python/R.
Experience with analytics adaptation to GDPR compliance.
Experience with mobile apps analytics (Firebase, AppsFlyer).
Steps may differ depending on the position, but this is our usual hiring process.
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