data analyst for travel eSIMs

HireHi; Polska; Hybrid; PLN 196,000 - 280,000; Full time

Benefits offered by this job

Гибридная работа

Менторство и рост

МК

Job summary

HireHi ищет аналитика данных для Saily: задача — анализ поведен… (банк распада)

Qualifications

• 3+ года опыта как аналитика данных.
• Знание SQL; Python или R для моделирования данных.
• Опыт работы с инструментами визуализации (Looker/Tableau/Power BI).
• Опыт работы с Google Analytics.
• Опыт на lifecycle-аналитику: LTV, отток, удержание, когортный анализ.
• Плюс: опыт в e-commerce/SaaS/telecommunications; интерес к Data Science/ML.

Responsibilities

• Определение, отслеживание и оптимизация ключевых метрик и KPI.
• Анализ пользователей и продукции для выявления возможностей роста.
• Разработка и поддержка автоматических отчетов и дашбордов.
• Анализ когорт, сегментации и touchpoints для роста.
• Построение и поддержка структур данных, баз, отчетов и визуализаций.
• Презентация выводов заинтересованным сторонам.
• Поддержка масштабируемых аналитических возможностей, включая атрибуцию и воронки.

Skills

SQL

Python OR R

Cohort analysis

Lifecycle analytics

Looker/Tableau/Power BI

Google Analytics

Data visualization

Communication

Problem solving

Tools

Looker

Tableau

Power BI

Job description

Описание

Saily provides secure mobile data plans for travelers, with no roaming charges or physical SIM cards. Its eSIM offers mobile data in more than 200 countries.

Задачи

Define, track, and optimize key metrics and KPIs for product and marketing teams Analyze users and products to identify business opportunities and areas for improvement Develop and maintain automated reports and dashboards showing customer behavior and product performance Conduct in-depth analyses of customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities Build, support, and replicate data structures, including databases, tables, reports, visualizations, regression analyses, and time series Present data-driven insights clearly to cross-functional stakeholders Support the development and maintenance of scalable analysis capabilities, including user segmentation, attribution modeling, and funnel analysis

Требования

3+ Years of experience as a data analyst Strong understanding and experience with SQL; Python or R for data modeling and general development Familiarity with customer lifecycle frameworks and techniques for LTV, churn, retention, and cohort analysis Experience with data visualization tools such as Looker, Tableau, Power BI, or equivalent Strong communication and analytical problem-solving skills, a proactive approach, and a collaborative mindset Experience with Google Analytics Experience with data visualization and statistical analysis methods Будет плюсом: experience in e-commerce, SaaS, telecommunications, or digital marketing; interest or affinity in Data Science/ML

Условия

Gross salary: PLN 17.6K – PLN 25.1K per month Training, mentorship, and opportunities to grow Extra vacation days, sick days, and time off Fully covered private health insurance in Lithuania and Poland Free subscriptions to Calm, Headspace, and Mindletic; resilience and mindfulness training In-house gyms, sport cards, online workouts, and personal guidance Company-wide workation abroad Gifts for birthdays, weddings, and new family members Children’s summer camps and schedule flexibility Team-building activities and company events Access to the Vilnius HQ amenities, including a coffee bar, open gyms, a kids’ room, a music room, and massage chairs The role is hybrid in Poland