Delivery Hero

E-Commerce

SeniorDataAnalyst

€45–65k ~AI est. Barcelona, Spain FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Data Analyst at Delivery Hero. Skills: Data pipelines, Semantic modeling, Audience engineering, Data migration, Data validation. Design, build, and maintain scalable ETL pipelines. Design, build, and maintain dimensional data models”

Industry & Context.

E Commerce
Problems you'll solve

Translate complex business logic; Analyze source data; Define movement logic; Rigorous data validation testing; Remap downstream dependencies; Implement rigorous checks

What They're Looking For.

Must Have

5-8 years of experience in data analytics, Higher education in a quantitative field, Proficiency in writing clean, optimized SQL, Proficiency in writing clean, optimized Python, Hands-on experience with visualization tools

Nice to Have

Experience in advertising industry, Experience designing and analyzing multivariate experiments, Knowledge or experience in digital sales, Knowledge or experience in marketplaces, Experience working with CPG/FMCG companies, Backend Salesforce/SOQL experience

What You'll Do.

and maintain scalable ETL pipelines

and maintain dimensional data models

Translate complex business logic into dashboards

Build and optimize automated audience generation engines

Develop API integrations

Feed user segments into Ad-buying platforms

Develop and manage secure

automated data-sharing pipelines

Share information with external B2B partners

Drive complex data migration projects

Define movement logic

Conduct rigorous data validation testing

Remap all downstream dependencies

Architect and maintain automated data flows

Ensure flawless delivery of data

Implement rigorous checks within data pipelines

Prevent bad data from reaching dashboards

Build tests to verify logical consistency

Maintain unique records

Confirm information meets expected standards

How You'll Work.

Team & Collaboration

Collaborate with Data Engineers; Collaborate with Data Analysts; Translate complex data for stakeholders; Work with business stakeholders; Work with local teams; Work with HQ teams

Communication Scope

Spoken English; Written English

Process & Methodology

Data roadmap execution

Full Job 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. 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 da

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