Описание: The team has over 8 years of experience in traffic acquisition and monetization, focusing on performance marketing effectiveness. It develops its own mobile apps and monetizes them through large-scale traffic acquisition.

Задачи: Analyze and improve advertising traffic acquisition from in-app, social, and web sources; evaluate sources, channels, campaigns, audiences, and combinations using key acquisition metrics, and identify scaling and optimization opportunities.

Conduct cohort, segment, and ad hoc traffic-buying analyses.

Identify growth opportunities, formulate, prioritize, and test data-driven hypotheses across traffic buying, creatives, advertising platforms, monetization, user retention, and user ROI.

Analyze and improve traffic-buying automation algorithms by assessing solution quality, identifying causes of performance drops, defining improvement requirements, and adapting logic to new sources, platforms, and business goals.

Conduct predictive and proactive analytics to identify risks, performance drops, and growth opportunities.

Build and maintain analytical and functional dashboards.

Verify key reports, data, tracking, and analytical systems using data from advertising platforms, BI, CRM, MMP, attribution tools, and internal databases.

Coordinate analytical tasks in the area of responsibility, collaborate with the analytics team, monitor analytics quality, and translate findings into business recommendations.

Analyze and improve product metrics for the company’s apps, identifying opportunities in retention, monetization, user behavior, and overall product performance.

Требования: At least 7 years of experience in data analytics

Experience in mobile app analytics and ad mediation for monetized apps, including mediation platforms, ad networks, waterfall and bidding logic, eCPM, fill rate, ARPDAU, impressions, ad revenue, and the impact of ad monetization on product metrics

At least 4 years of experience in digital marketing, performance marketing, paid acquisition, or growth marketing

Deep expertise in acquisition and product metrics, including LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, and ARPU, and their practical application

Experience with cohort and ad hoc analysis, experiment evaluation, and hypothesis testing

Ability to identify non-obvious data insights and turn them into concrete business recommendations

Experience with MMPs, attribution, and tracking tools such as Adjust, Voluum, Amplitude, Mixpanel, Firebase, or similar platforms

SQL skills for ad hoc analysis, data extraction, and modeling

Knowledge of Python or R for analytics, automation, and modeling

Understanding of marketing attribution, tracking, conversion measurement, and data quality

Experience building and using reports and dashboards in BI tools such as Looker

Experience with BigQuery and modern data stack tools such as GitLab, Docker, Google Cloud Container Registry, Workflows, and Cloud Run

Experience with large data volumes and the ability to develop analytical logic independently

Strong analytical skills and systematic thinking

Attention to detail, self-organization, and accountability for results

Ability to clearly communicate technical findings to non-technical teams

Bachelor’s degree in mathematics, applied mathematics, statistics, data science, information technology, or a related field

Условия: Remote work format

Schedule: 10:00 a.m. to 7:00 p.m. Cyprus time

20 Days of vacation and paid sick leave

Probationary period: 6 months

Salary by agreement, depending on level and expertise

The team follows the Cyprus holiday calendar

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