3 publicaciones de empleo destacadas de computer vision engineer en catalunya (¡Están contratando!)

Senior Data Analyst
Glovo —Barcelona, Barcelona provincia
- Jornada completa
- Informática
- Ventas
- Salesforce
Solicitud rápida
Senior FPGA Architect – SystemVerilog
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Doctorado
- Informática
- Máster
Senior AI Consultant
Aizon —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Máster
- Project management
- Seguro dental
Solicitud rápida

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KBC Global —Barcelona, Barcelona provincia
Project Team Management - Lead a small- to large-sized project team; communicate the project vision and the necessary outcomes, along with guidance to achieve…

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Senior Data Analyst

Glovo -
Barcelona, Barcelona provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

Informática
Ventas
Salesforce
Inglés
Tableau
SQL
ETL
Data warehouse
Python

Descripción completa del empleo

Company Description

Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.

Job Description

Your work-life opportunity:

Within the Brands Ads department in Glovo, we are building the present and future of retail media in +20 markets and we are seeking someone with experience in both advertising and making things happen. We collaborate with +100 brands ads sales colleagues in developing local advertising strategies, and you will play a major role in making their lives easier by providing a strategic vision on the media landscape fueled by data.

We are looking for a Sr Data Analyst . for the Brand Ads department who can drive and execute our data roadmap. In this role, you will champion various initiatives that support our primary strategy, working in tandem with business stakeholders from both local and HQ teams.

Key Responsibilities:

Data Pipelines & Semantic Modeling: Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines and dimensional data models. You will translate complex business logic into intuitive, highly performant dashboards (e.g., Looker) for commercial stakeholders.
Off-app Audience Engineering: Build and optimize automated audience generation engines using first-party data. You will develop API integrations that feed complex user segments directly into global Ad-buying platforms (e.g., DV360, The Trade Desk).
Secure B2B Data Integration: Develop and manage secure, automated data-sharing pipelines (SFTP, Cloud Storage Buckets) to seamlessly share information with our external B2B partners.
End-to-End Data Migrations: Drive complex data migration projects by combining advanced Python and SQL. You will own the entire migration lifecycle: analyzing source data, defining the movement logic, conducting rigorous data validation testing, and remapping all downstream dependencies to ensure seamless transitions.
Salesforce & CRM Integrations: Architect and maintain critical, automated data flows between our data warehouse and Salesforce. Using Salesforce as the central hub for P&L reporting, you will ensure the flawless delivery of this data (backend Salesforce/SOQL experience is a strong plus) to the right reports.
Data Validation & Testing: Implement rigorous checks within data pipelines to prevent bad data from reaching final dashboards. You will build tests to verify logical consistency, maintain unique records, and confirm that all information meets the expected standards and quality.

Qualifications

You have:

5-8 years of experience in data analytics, ideally within advertising or a similar industry.
Proven ability to collaborate with Data Engineers and Data Analysts to build infrastructure and translate complex data for non-technical business stakeholders.
Proficiency in writing clean, optimized SQL and Python (Pandas, SciPy, Seaborn) for querying and analyzing large datasets.
A higher education in a quantitative field such as Physics, Statistics, Computer Science, Engineering or Mathematics.
Hands-on experience with visualization tools like Tableau, Looker, or PowerBI.
Excellent spoken and written English

Nice to have:

Strong understanding of A/B testing principles and experience designing and analyzing multivariate experiments for digital products.
Knowledge or experience in digital sales or marketplaces
Experience working with CPG/FMCG companies

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