Marketing Analyst at Yandex Afisha and Tickets
Yandex Afisha is one of the largest ticket sales services for entertainment events in Russia. It is one of the most visited ticketing services on the market: over 10 million people use it every month.
We are looking for a Marketing Analyst. We expect the candidate to have experience in marketing analytics, a solid understanding of mathematical statistics, a high level of responsibility, and the ability to independently manage projects.
Your tasks will include:
- Developing Marketing Analytics
You will develop the marketing side of the business in streams: Performance Marketing, CRM, and special projects from an analytics perspective. You will need to dive deep into the effectiveness of acquisition channels, build attribution models, and help the team make data-driven decisions.
- Metric Support
Your tasks will include supporting the marketing metrics system – from high-level indicators (CAC, ROMI, LTV) to operational breakdowns by channels and audience segments.
- A/B Experiments and Statistical Analysis
You will need to design and analyze marketing experiments – from formulating hypotheses and calculating sample sizes to interpreting results and developing business recommendations.
We expect you to:
- Have at least three years of experience in analytics, with at least one year in marketing analytics
- Be proficient in SQL and Python, and able to work with large volumes of data
- Apply mathematical statistics in practice: A/B tests, confidence intervals, hypothesis testing
- Be familiar with ML concepts, time series, and econometrics, and have applied them in practice
- Understand the structure of attribution models and know their limitations
- Be fluent in marketing and non-marketing metrics: CAC, LTV, ROMI, Retention, Churn
- Be able to independently manage projects – from setting tasks to final conclusions and recommendations
- Be able to translate data into insights understandable to a non-technical audience
- Not be afraid to say "there is not enough data" or "the experiment did not yield results"
