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# Data Analytics Lead (Product Intelligence)

- **Company:** Nexthink
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, BigQuery, Data Discovery, Data Warehousing, Power BI, Standard Sql, Tableau (Software), Usage Analysis, Snowflake, Data Strategy, Git, Data Analytics, Virtual Agents
- **Published:** September 28, 2026
- **Apply:** https://www.buscojobs.com.es/data-analytics-lead-product-intelligence-en-madrid-ID-372341587

## About the Role

Collaborate with Product Managers and Engineering to define telemetry and instrument data collection * Identify gaps in data collection and advocate for required instrumentation * Contribute to semantic modeling and dashboarding within BI tools and promote agile workflows Responsabilidades * 7+ years of experience in data analytics, product analytics, analytics engineering, or BI * Strong SQL and experience querying large, multi-source data warehouses * Proven track record delivering product-led insights and influencing revenue growth * Experience presenting data strategy and insights to executives * Hands-on experience with product telemetry, funnels, user journeys, cohorts, and retention * Experience defining success metrics and KPIs with judgment about behavioral incentives * Proficiency with BI tools (Power BI, QuickSight, Tableau) and building semantic models * Experience with data modeling concepts (facts, dimensions, grain, SCDs) * Familiar with agentic AI coding tools
(Claude Code or similar) * Experience with modern data stack (dbt, cloud warehouses like Redshift/Snowflake/BigQuery, AWS services) and Git * Ability to specify telemetry requirements with Product and Engineering * Excellent communication skills; English fluency; willingness to travel to Lausanne occasionally Requisitos principales * Hybrid work model * Unlimited vacation * Private health insurance * Relocation package * Gym subscription allowance * Bonuses for referrals

## Description

Experteer Overview In this role, you own the analytics discipline within Product Intelligence, turning telemetry into actionable product insights.You partner with Product Management and Engineering to define metrics, ensure data trust, and surface opportunities that influence product strategy and business outcomes.You'll present insights to senior leadership and guide data quality, cataloging, and semantic definitions to enable AI-ready decision making.You join a cross-functional team to drive data-driven growth and improved digital experiences.Compensaciones / Beneficios * Translate product usage and telemetry into product-led insights to identify upsell opportunities and predict churn * Conduct proactive analysis of product usage and user journeys, including funnel, adoption, cohort, and retention studies * Define and own success metrics for features, releases, and business objectives * Provide regular insights and recommendations to senior management and present to executives * Manage senior stakeholders across Product, Sales, Customer Success, and Finance * Own the semantic layer by defining core entities and metric meanings to ensure consistency * Champion AI-ready data strategy through semantics and metadata for trustworthy AI queries * Oversee data quality for the analytics layer, define checks, monitor issues, and drive resolutions * Build and maintain data catalog and documentation to aid data discovery and trust * Establish data governance practices for analytics, including ownership, lineage, and access * Collaborate with Product Managers and Engineering to define telemetry and instrument data collection * Identify gaps in data collection and advocate for required instrumentation * Contribute to semantic modeling and dashboarding within BI tools and promote agile workflows Responsabilidades * 7+ years of experience in data analytics, product analytics, analytics engineering, or BI * Strong SQL and experience querying large, multi-source data warehouses * Proven track record delivering product-led insights and influencing revenue growth * Experience presenting data strategy and insights to executives * Hands-on experience with product telemetry, funnels, user journeys, cohorts, and retention * Experience defining success metrics and KPIs with judgment about behavioral incentives * Proficiency with BI tools (Power BI, QuickSight, Tableau) and building semantic models * Experience with data modeling concepts (facts, dimensions, grain, SCDs) * Familiar with agentic AI coding tools (Claude Code or similar) * Experience with modern data stack (dbt, cloud warehouses like Redshift/Snowflake/BigQuery, AWS services) and Git * Ability to specify telemetry requirements with Product and Engineering * Excellent communication skills; English fluency; willingness to travel to Lausanne occasionally Requisitos principales * Hybrid work model * Unlimited vacation * Private health insurance * Relocation package * Gym subscription allowance * Bonuses for referrals


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