Pb The Role /b /pp We are seeking a highly skilled and experienced b Analytics Lead /b 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. /p pb Who We Are /b /pp At Liquid Barcodes, we’ve developed the world’s most advanced digital loyalty and subscription platform, helping our clients connect with customers and build lasting loyalty. Our technology transforms digital marketing in the convenience sector by closing the loop between the customer and the store—delivering measurable impact on engagement, basket size, and retention. /pp We work with leading retail brands such as 7-Eleven, Circle K, and Cepsa. Headquartered in Norway, we also have offices in Spain and the US. Our Málaga hub, located in the city center opposite the Cathedral, serves as a key innovation and operations center for our growing international business. /p pb Key Responsibilities /b /ppb Analytics Foundations Strategy /b /pulli Define analytical requirements for core customer use cases (loyalty mechanics, campaign performance, app engagement, subscriptions, etc.). /lili Establish KPI frameworks and structured metric definitions used across the company. /lili Own documentation, governance, and consistency of analytics standards. /li /ul pb Hands-On Data Exploration Prototyping /b /pulli 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. /lili Conduct deep analyses on user behavior, loyalty performance, program effectiveness, segmentation, and customer lifecycle trends. /lili Create lightweight models or indicators (e.g., engagement scores, churn signals) for internal consumption. /li /ul pb Data Modeling Warehouse Collaboration /b /pulli Work closely with the Lead Data Engineer to design and refine data models and transformations. /lili Validate the warehouse structure to ensure it supports customer use cases and analytics requirements. /lili Contribute to the evolution of our data platform approach (e.g., GCP/BigQuery), ensuring analytics needs are natively supported. /li /ul pb Reporting Visualization /b /pulli Build reports and dashboards to help Customer Success, Product, Onboarding/PM, and Executives understand customer performance and product usage. /lili Enable self-serve analytics through clear documentation and structured metric layers. /lili Ensure reporting is trusted, consistent, and actionable across teams. /li /ul pb AI-Assisted Analytics /b /pulli Use AI tools to accelerate insight generation, automate reporting, and surface trends faster. /lili Explore AI-enhanced capabilities such as summarization, anomaly detection, and natural language querying. /lili Support future internal AI copilots or assistant features in collaboration with engineering. /li /ul pb Quality, Governance Requests /b /pulli Define data validation rules and documentation standards. /lili Prioritize and manage ad-hoc data requests with clarity and structure. /li /ul pb What We’re Looking For /b /p pb Required /b /pulli5+ years in data analytics, product analytics, or BI within a SaaS or digital environment. /lili Strong SQL and experience with modern data warehouses (BigQuery, Snowflake, Redshift, etc.). /lili Ability to write code in a general-purpose language for exploration, automation, and prototyping. /lili Experience defining KPIs, reporting structures, and analytics requirements from scratch. /lili Proficiency building dashboards and reports with modern BI tools (Looker, Tableau, Power BI, Metabase, etc.). /lili Strong communication skills and ability to translate data into recommendations. /lili A builder mindset and comfort working in a zero-to-one environment. /li /ul pb Nice to Have /b /pulli Hands-on experience with Google Analytics (or similar web/app analytics tools). /lili Experience with dbt or modern transformation frameworks. /lili Exposure to consumer engagement, CRM, mobile apps, or loyalty analytics. /lili Experience using AI tools for analytics or reporting. /lili Familiarity with experimentation or A/B testing. /lili Direct experience with BigQuery (especially relevant if we go with a GCP-based data platform). /li /ul pb What’s in it for you? /b /p