6 дней назад
Data Analyst (Live Streaming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Live Streaming) (SQL/BigQuery): Building reliable product datasets, event instrumentation, and experimentation workflows for a global live-streaming platform with an accent on advanced SQL, product analytics, and cross-platform tracking. Focus on designing rigorous A/B tests, validating experiment assignment and data quality, and shipping production transformation pipelines across mobile and web products.
Location: Warsaw, Poland; hybrid schedule with 4 days in the office and 1 day working from home
Company
Live-streaming B2C platform with more than 450 million registered users, enabling creators to publish live content, engage with audiences, and monetize their talents.
What you will do
- Own the analytics for a product domain, including its metrics, events, datasets, pipelines, and experiments.
- Design and run end-to-end A/B tests, from hypotheses and success metrics to population validation, monitoring, and ship-or-don't-ship recommendations.
- Build production data transformations using SQL and YAML pipeline configuration, including freshness, uniqueness, and validity checks.
- Specify and validate product event instrumentation across Android, iOS, and Web.
- Collaborate with product managers and engineers as the analytics counterpart for product decisions.
Requirements
- Advanced SQL, including window functions, multi-source joins, and query cost analysis.
- Strong experimentation background covering hypothesis testing, confidence intervals, statistical power, minimum detectable effect, and common A/B testing failure modes.
- 3+ years of experience as a product or data analyst on consumer products, including both mobile and web.
- Experience with AI analytics tooling and the ability to validate generated results before use.
- Comfort with Git, merge requests, code review, and production pipeline code.
- English at B1 level or above, with clear written communication for specifications and stakeholder presentations.
Nice to have
- BigQuery experience, including partitioned tables, clustering, and slot-based pricing.
- Airflow, dbt, or another orchestrated transformation framework.
- Python with pandas, SciPy, or statsmodels.
- Experience with Looker, Tableau, Power BI, Soda, or Great Expectations.
- Experience in social, live-streaming, gaming, or other engagement-driven consumer products.
Culture & Benefits
- Stock options grant.
- Medical insurance for the employee and 75% coverage for relatives.
- Lunch budget, parking, and Multisport card.
- Cheerful team spirit and an office-based work environment.
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