Senior Analytics Engineer (Pricing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Analytics Engineer (Pricing): Building and owning production-grade analytics data models and pricing frameworks for a global eSIM platform with an accent on margin contribution, breakage rates, and conversion sensitivity. Focus on designing scalable dimensional models, codifying complex pricing logic using Python and dbt, and driving data-informed decisions across product, marketing, and commercial teams.
Location: Must be based in and eligible to work in Spain or the UK.
Company
is the world’s first and largest eSIM store, enabling seamless connectivity for travelers in over 200 countries and regions.
What you will do
- Build and own unit economics data models surfacing margin contribution, cost dynamics, and profitability.
- Develop analytical scaffolding for pricing reviews, including margin waterfalls and conversion sensitivity analysis.
- Integrate competitive pricing data into structured models for automated benchmarking and price distance analysis.
- Write Python-based tooling for simulation models, scenario analyses, and pricing rule engines.
- Own the semantic layer and metrics definitions for pricing domains to ensure cross-functional consistency.
- Collaborate with engineering teams to scale ELT workflows and ensure data reliability for pricing-critical reporting.
Requirements
- Must be based in and fully eligible to work in Spain or the UK.
- 5+ years of experience in analytics engineering, data engineering, or similar modeling-focused roles.
- 2–3 years of direct experience with pricing analytics, revenue optimization, or pricing data infrastructure.
- Proficiency in Python for data transformation and building production-quality pipelines.
- Strong SQL skills and demonstrated experience designing robust dimensional data models.
- Hands-on experience with dbt (Core or Cloud) for managing transformation logic.
- Familiarity with cloud data platforms (BigQuery) and orchestration tools like Airflow or Dagster.
Nice to have
- Experience with Lightdash or similar modern BI and semantic layer platforms.
- Background in telecom, SaaS, fintech, or marketplace environments.
Culture & Benefits
- Fully remote team environment.
- Generous Paid Time Off (PTO) policy.
- Wellness and learning allowances provided for all team members.
- Annual company-wide retreat ( Away).
- Opportunity to influence data architecture and standards in a high-growth, global-scale product company.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →