Procurement Lead (part-time)

Liquid Barcodes; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A technology firm specializing in digital loyalty seeks an experienced Analytics Lead to define the analytics strategy and drive data-informed decision-making. The role involves hands-on analysis, data modeling, and collaboration with various teams. Ideal candidates should have over 5 years of experience in data analytics and strong SQL skills, along with the ability to build reports and dashboards using modern BI tools.

Formación

• 5+ years in data analytics, product analytics, or BI within a SaaS or digital environment.
• Strong SQL and experience with modern data warehouses.
• Ability to write code in a general-purpose language for exploration, automation, and prototyping.

Responsabilidades

• Define the analytics strategy for the company.
• Explore customer and product data using SQL and programming languages.
• Work closely with the Lead Data Engineer on data models and transformations.

Conocimientos

Data analytics

SQL

Python

Tableau

Communication skills

Google Analytics

Herramientas

BigQuery

Looker

Power BI

Descripción del empleo

The Role

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.

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.

We work with leading retail brands such as 7‑Eleven, Circle K, and Cepsa. Define analytical requirements for core customer use cases (loyalty mechanics, campaign performance, app engagement, subscriptions, etc.).

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.

Data Modeling & Warehouse Collaboration

Work closely with the Lead Data Engineer to design and refine data models and transformations.

Contribute to the evolution of our data platform approach (e.g., GCP / BigQuery), ensuring analytics needs are natively supported.

Build reports and dashboards to help Customer Success, Product, Onboarding / PM, and Executives understand customer performance and product usage.

Quality, Governance & Requests

Define data validation rules and documentation standards.

Prioritize and manage ad‑hoc data requests with clarity and structure.

Qualifications

• 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.
• 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.
• Hands‑on experience with Google Analytics (or similar web / app analytics tools).
• Exposure to consumer engagement, CRM, mobile apps, or loyalty analytics.
• Familiarity with experimentation or A/B testing.
• Direct experience with BigQuery (especially relevant if we go with a GCP‑based data platform).