Analytics Engineer

Elsbethen , Austria
full-time

TLDR

Lead the standardization and quality assurance of critical data sources, implementing innovative data solutions that enhance business value and support cross-functional projects.

DATA 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.

Data 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.

Due 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.

Red Bull creates dynamic energy drinks that energize athletes, professionals, students, and travelers worldwide. The company uniquely blends sports and community engagement, positioning itself as an essential brand in action sports and youth culture.

View all jobs
Salary
€2.509 per month
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Analytics Engineer Q&A's
Report this job
Apply for this job