Product Marketing Analyst
We build apps that empower millions of Mac users globally. Data has always played a key role in shaping our products, from major strategic decisions to daily improvements. Now we’re seeking a Product Analyst to help us keep data clean, relevant, and actionable.
You will monitor and maintain the health of our product’s analytical ecosystem — from dashboards to ad tracking. You’ll be a key partner to marketers, helping to make sense of user behavior, evaluate experiments, and support strategic initiatives with data that matters.
Your mission will be ensuring the marketing teams always have access to reliable insights, dashboards, and reports that truly support decision-making.
Interested? Apply now and let’s create data-driven magic together💫
In this role, you will:
Analyze sales funnels, investigate metric anomalies via segment analysis, and measure brand activity impact to drive growth
Design and configure cross-domain tracking (GTM/SGTM) ensuring high data quality and GDPR compliance
Proactively communicate insights and hypotheses to stakeholders, translating complex data into clear business actions
Adapt and maintain existing dashboards and data models for continuous funnel monitoring
Own the full website A/B testing lifecycle from hypothesis formulation to statistical analysis to boost conversion rates
Use AI tools to accelerate exploratory analysis, code writing, and automated reporting
Skills you’ll need to bring:
Strong critical, systemic, and analytical thinking
Advanced SQL skills and confidence working with large datasets
Hands-on experience with BI tools (we use Google Data Studio)
Understanding of unit economics
A track record of finding insights in data, investigating root causes, and building reports for different levels of decision-making
At least upper-intermediate level of English for communication with the American office and fluent Ukrainian
As a plus:
Solid understanding of Web Analytics & Tracking (GA/GTM)
Familiarity with DBT, Git
Understanding of statistics, probability theory, and A/B testing platforms (e.g., Growthbook)
Knowledge of specifics of tracking digital marketing channels (Google Ads, ASA, Affiliate)
Practical GDPR-compliance experience
Leveraging AI tools (Claude Code etc) for everyday workflows