Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Saily ищет аналитика данных для определения и оптимизации ключевых метрик, анализа поведения пользователей и построения дашбордов. Роль предполагает работу с SQL/BigQuery, Python/R и инструментами визуализации, сотрудничество с кросс-функциональной командой и удаленную работу по всему миру.
Кандидат должен владеть методами анализа жизненного цикла клиентов, а также GA и опыт в e-commerce/SaaS будет плюсом.
At Saily, we’re removing the hassle from getting secure data plans while traveling. No roaming charges, no plastic SIM cards. Just fast, secure mobile data in 200+ countries. Join the team behind Lonely Planet’s #1 eSIM—built for explorers, powered by NordVPN. Your impact? Helping people stay securely connected, wherever they go.
Define, track, and optimize key metrics and KPIs for product and marketing teams. Analyze users and products to find new business opportunities and areas for improvement. Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance. Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities. Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.). Deliver clear, compelling presentations of data-driven insights to cross-functional stakeholders. Support the development and maintenance that enable scalable analysis (e.g. user segmentation, attribution modeling, funnel analysis).
3+ years in a role as a data analyst; Solid understanding and experience of SQL (Google BigQuery as an advantage) and Python or R (for data modeling and general development); Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis. Strong experience with data visualization tools (e.g., Looker, Tableau, Power BI, or equivalent). Strong communication skills, a proactive approach, analytical problem-solving abilities, and a collaborative mindset, being an effective and versatile team player; Experience with Google Analytics; Proven experience with various data visualization and statistical analysis methods; Будет плюсом: Experience in e-commerce, SaaS, telecommunications, or digital marketing environments is a plus; Data Science/ML interest/affinity would be a plus