Назад
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13 дней назад

Data Analytics Lead (Product Intelligence)

62 000 - 110 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Analytics Lead (Product Intelligence) (Product Analytics/AI): Owning the analytical and semantic layer for product intelligence, defining trustworthy metrics and telemetry, and turning product usage data into strategic insights with an accent on data quality, governance, and AI-ready semantics. Focus on funnel and retention analysis, stakeholder-facing recommendations, and designing data requirements with Product and Engineering teams.

Location: Madrid, Spain; hybrid work model. Occasional travel to the head office in Lausanne is required. A relocation package is available for candidates coming from another country.

Salary: €62,000–€110,000 gross per year, with total on-target earnings of €68,200–€126,500 including an annual performance bonus.

Company

Digital employee experience management software company providing real-time analytics, automation, and employee feedback across enterprise endpoints.

What you will do

  • Translate product usage and telemetry data into product-led insights, including upsell opportunities, churn prediction, feature adoption, funnel analysis, and retention analysis.
  • Define and own success metrics, KPIs, semantic definitions, and business entities used across Product, Sales, Customer Success, Finance, and leadership.
  • Present analytical findings, recommendations, and data strategy directly to senior management and executive stakeholders.
  • Own analytical-layer data quality, monitoring, cataloging, documentation, lineage, access, and governance practices.
  • Define product telemetry and instrumentation requirements with Product Management and Engineering, and collaborate on pipelines, models, and data structures.
  • Contribute to semantic modeling, dashboarding, agile team ceremonies, and the use of AI-ready data structures.

Requirements

  • 7+ years of experience in data analytics, product analytics, analytics engineering, or business intelligence, with strong ownership and autonomy.
  • Strong SQL skills and experience working with large, messy, multi-source data in a data warehouse.
  • Experience with product usage or telemetry data, funnels, user journeys, feature adoption, cohorts, retention, success metrics, and KPIs.
  • Experience with BI and visualization tools such as Power BI, QuickSight, Tableau, or similar, including semantic and data modeling.
  • Experience with data quality, data cataloging, documentation, governance, AI/ML, and LLM concepts.
  • Fluent English, strong communication skills, and the ability to present rigorous insights to senior and executive audiences.

Nice to have

  • Experience with dbt, Redshift, Snowflake, BigQuery, AWS S3, Athena, Glue, and Git.
  • Hands-on use of agentic AI coding tools such as Claude Code for analysis and automation.
  • Experience specifying product instrumentation with Product and Engineering teams.

Culture & Benefits

  • Permanent employment with a competitive compensation package.
  • Hybrid work with a structured onboarding approach for new hires.
  • Private health insurance, €11 daily meal vouchers, flexible hours, and unlimited paid time off in addition to 23 vacation days.
  • Three company-paid volunteer days, gym support, childcare and public transportation benefits, and reimbursement of up to 50% of English and Spanish classes.
  • Company and team events, office refreshments, and a relocation package for international hires.

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