Analytics Lead
Role details
Job location
Tech stack
Job description
& Warehouse Collaboration Work closely with the Lead Data Engineer to design and refine data models and transformations. Validate the warehouse structure to ensure it supports customer use cases and analytics requirements. Contribute to the evolution of our data platform approach (e.g., GCP/BigQuery), ensuring analytics needs are natively supported. Reporting & Visualization Build reports and dashboards to help Customer Success, Product, Onboarding/PM, and Executives understand customer performance and product usage. Enable self-serve analytics through clear documentation and structured metric layers. Ensure reporting is trusted, consistent, and actionable across teams. AI-Assisted Analytics Use AI tools to accelerate insight generation, automate reporting, and surface trends faster. Explore AI-enhanced capabilities such as summarization, anomaly detection, and natural language querying. Support future internal AI copilots or assistant features in collaboration with engineering. Quality
Requirements
Governance & Requests Define data validation rules and documentation standards. Prioritize and manage ad-hoc data requests with clarity and structure. What We're Looking For Required 5+ years in data analytics, product analytics, or BI within a SaaS or digital environment. Strong SQL and experience with modern data warehouses (BigQuery, Snowflake, Redshift, etc.). Ability to write code in a general-purpose language for exploration, automation, and prototyping. Experience defining KPIs, reporting structures, and analytics requirements from scratch. Proficiency building dashboards and reports with modern BI tools (Looker, Tableau, Power BI, Metabase, etc.). Strong communication skills and ability to translate data into recommendations. A builder mindset and comfort working in a zero-to-one environment. Nice to Have Hands-on experience with Google Analytics (or similar web/app analytics tools). Experience with dbt or modern transformation frameworks. Exposure to consumer engagement, CRM, mobile apps, or loyalty analytics. Experience using AI tools for analytics or reporting. Familiarity with experimentation or A/B testing. Direct experience with BigQuery (especially relevant if we go with a GCP-based data platform). What's in it for you? Competitive salary based on experience Health insurance Career growth opportunities International, young, and dynamic environment ️ Office in the heart of Málaga city center Work-life balance Hybrid working model and flexible hours Weekly lunch meetings (optional) Teambuilding activities