Passion for Data? And for Analytics? Check this out!
The Analytics Engineer is part of the Data Science Growth team within the broader Data Science & Analytics organisation. This role focuses on delivering key strategic initiatives in Data Harmonisation and Data Provisioning. The role’s primary mission is to ensure that critical external data sources (e.g. sell-out, sell-in, store-level, eCommerce, and shopper data) are harmonised and quality-assured in line with Red Bull’s business logic.
The role is also responsible for building and scaling this capability in a cost-efficient manner as well as running it on an ongoing basis.
Job DescriptionDATA HARMONISATION & QUALITY ASSURANCE
You’ll lead efforts to standardise, harmonise, and assure the quality of critical external data sources, ensuring that business data is accurate, consistent, and ready for analytics, reporting, and ML across the organisation. This includes ongoing quality assurance and continuous improvement of data processes.
INNOVATE AND ENHANCE DATA PRODUCTS
You’ll take ownership of implementing new product features and improving existing ones, always seeking opportunities to innovate and deliver greater value to the business
COLLABORATE ACROSS TEAMS AND PARTNERS
You’ll work closely with both internal and external data engineering teams, fostering strong partnerships and ensuring seamless integration of data initiatives. Your collaborative mindset will maximise the impact of cross-functional projects and support organisational goals.
DEVELOP ADVANCED ANALYTICS & PIPELINES
You’ll design, build, and maintain robust data pipelines, leveraging machine learning and AI to unlock insights and automate processes. Your technical expertise will be key to delivering scalable, high-performance analytics solutions
ENSURE TIMELY DELIVERY & EFFECTIVE COMMUNICATION
You’ll manage project timelines, proactively communicate progress, and address challenges to ensure successful and timely delivery of all initiatives. Your ability to manage up and keep stakeholders informed will be essential to the role’s success.
QualificationsData Engineering Expertise (SQL, Python, dbt, git – Snowflake experience preferred)
Data Modeling & Harmonisation
Product Mindset (incl. drive to succeed and get adoption; pipeline management)
Analytics & Business Acumen (incl. understanding of Red Bull specific data and taxonomies)
Relevant ML & AI Familiarity (incl. heuristics, embeddings models, LLMs, …)
Data Governance & Quality Assurance.
Ability to communicate to technical and non-technical audiences.
FMCG Data Expertise (e.g., Nielsen/Circana data, Retailer data, …)
Strong communication and presentation skills.
Team-player and collaborative (“copy-left” vs “copyright”).
Proactive, self-motivated, and able to work on different projects in parallel.
Additional InformationDue to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,509 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.
As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.
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What We Do
Red Bull Gives Wiiings to People and Ideas. This has driven us – and all we do – since 1987. Today, Red Bull operates in over 170 countries, selling more than 12 billion cans annually and growing! Above all, our people remain the essential ingredient in bringing the Red Bull brand to life. Check out our open roles to become part of the world of Red Bull. Most jobs take energy, ours give it. Check out our open roles to become part of the world of Red Bull – jobs.redbull.com
