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Lead, Data Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead, Data Analytics (SQL/Python): Building scalable reporting, dashboards, trusted datasets, and advanced analytics that drive commercial and product decisions with an accent on forecasting, metric design, data quality, and AI-assisted workflows. Focus on translating complex business questions into measurable actions, improving self-service analytics, and mentoring analysts while operationalizing insights across the organization.
Location: Netherlands; hybrid setup with in-office presence three days per week
Company
develops reservation software that helps tours, activities, attractions, and other experience businesses operate and grow.
What you will do
- Translate Product and Commercial business questions into analytical frameworks, trusted metrics, and actionable insights.
- Design and maintain scalable reporting, dashboards, trusted datasets, and analytics products.
- Perform advanced analysis and forecasting across acquisition, upsell, retention, and product adoption.
- Identify growth opportunities, operational inefficiencies, and business risks, then operationalize recommendations and track impact.
- Develop AI-assisted analytics workflows and automation, including evaluation of AI-generated outputs.
- Improve analytics standards, data governance, self-service capabilities, and analyst practices through collaboration, mentoring, and knowledge sharing.
Requirements
- 5+ years of experience in data analytics or a related quantitative field, preferably in a B2B SaaS environment.
- Bachelor’s or Master’s degree in Computer Science, Analytics, Data Science, Economics, Statistics, or a related quantitative discipline.
- Advanced SQL and strong Python skills for analytics, modeling, and automation.
- Strong experience with dbt, data workflows, analytics-ready datasets, data modeling, semantic layers, and analytics engineering concepts; GitLab experience.
- Experience with BI or product analytics tools such as Tableau, Looker, Power BI, Mixpanel, or Amplitude, plus statistical analysis, forecasting, and business performance measurement.
- Strong communication, stakeholder management, problem-solving, business judgment, metric design, reporting, and data governance skills.
Nice to have
- Experience with product analytics.
- Experience with experimentation.
- Experience in a B2B SaaS environment.
Culture & Benefits
- Hybrid-friendly work environment with work-from-home assistance and a central Amsterdam location.
- 26 vacation days per year, pension plan, life insurance, commuting allowance, and subsidized lunch.
- Global leave benefits, including 22 weeks of paid parental leave and extended care and bereavement leave.
- Wellness benefits, educational opportunities, social events, and team-building activities.
- Multicultural environment with colleagues from 45 nationalities.
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