16 часов назад
Data Analytics Lead (Product Intelligence)
85 000 - 120 000€
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analytics Lead (Product Intelligence) (Product Analytics/AI): Defining the semantic and analytical layer for product usage data, translating telemetry into product insights, and establishing trustworthy metrics with an accent on data quality, governance, AI readiness, and executive decision support. Focus on specifying instrumentation, analyzing funnels and retention, building data models, and partnering with Product and Engineering to deliver reliable pipelines and insights.
Location: Madrid, Spain; hybrid work model. Occasional travel to the head office in Lausanne is required. A relocation package is available for people coming from another country.
Salary: €85,000–€120,000 gross per year, plus annual performance bonus with total on-target earnings of €97,750–€140,000.
Company
develops digital employee experience management software that provides real-time visibility, analytics, automation, and employee feedback across enterprise endpoints.
What you will do
- Translate product usage and telemetry data into insights on feature adoption, churn, upsell opportunities, retention, and revenue growth.
- Define and maintain success metrics, KPIs, semantic definitions, data quality standards, catalogs, documentation, and governance practices.
- Specify product instrumentation requirements with Product Management and Engineering, including events, properties, and data grain.
- Partner with data engineering to deliver pipelines, models, semantic layers, and BI solutions.
- Investigate user journeys, funnels, cohorts, and drop-offs to identify product improvement opportunities.
- Present analytical findings, recommendations, and data strategy to senior management and executive stakeholders.
Requirements
- 7+ years of experience in data analytics, product analytics, analytics engineering, or business intelligence.
- Strong SQL skills and experience working directly with large, multi-source data warehouses.
- Experience with product usage or telemetry data, funnels, feature adoption, cohorts, retention analysis, and success metrics.
- Experience with data modeling, BI tools, data quality, cataloging, governance, and semantic definitions.
- Experience with dbt, cloud data warehouses such as Redshift, Snowflake, or BigQuery, AWS services, and Git.
- Fluent English required; availability for occasional travel to Lausanne.
Nice to have
- Hands-on use of agentic AI coding tools such as Claude Code.
- Understanding of AI/ML and LLM concepts and their implications for data quality and semantic consistency.
- Degree in a quantitative, technical, or business-analytical field, or equivalent practical experience.
Culture & Benefits
- Permanent employment with a competitive compensation package.
- Hybrid work, flexible hours, unlimited paid time off, 23 additional holiday days, and three company-paid volunteer days.
- Private health insurance, €11 daily meal vouchers, gym support, and flexible compensation for childcare and public transportation.
- Reimbursement of up to 50% of English and Spanish classes.
- Company and team events, office refreshments, and employee referral bonuses.
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