Senior Data Analyst

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 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

• Experience working on FMCG/CPG in Analytics is a Plus.

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

Additional Information :

Here at Glovo we thrive on diversity we believe it enhances our teams products and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds all genders racial/diverse backgrounds abilities ages sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g. she/her/hers he/him/his they/them/theirs etc).

So ready to take the wheel and make this the ride of your life

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!

Remote Work :

No

Employment Type :

Full-time