Analytics Lead
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled and experienced Analytics Lead to join our technology and product teams in Málaga. In this role, you will take a leading part in defining the company's analytics strategy, building frameworks for measuring product and customer performance, and providing actionable insights that drive business growth. This is a hands-on position with a strong focus on technical leadership, mentoring, and shaping how data informs decision-making across our global teams., Analytics Foundations & Strategy
- Define analytical requirements for core customer use cases (loyalty mechanics, campaign performance, app engagement, subscriptions, etc.).
- Establish KPI frameworks and structured metric definitions used across the company.
- Own documentation, governance, and consistency of analytics standards.
Hands-On Data Exploration & Prototyping
- Use SQL and a general-purpose programming language (Python, R, Julia, etc.) to explore customer and product data, validate patterns, generate insights, and build analytical prototypes.
- Conduct deep analyses on user behavior, loyalty performance, program effectiveness, segmentation, and customer lifecycle trends.
- Create lightweight models or indicators (e.g., engagement scores, churn signals) for internal consumption.
Data Modeling & 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, Governance & Requests
- Define data validation rules and documentation standards.
- Prioritize and manage ad-hoc data requests with clarity and structure.
Requirements
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).