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Advanced Analytics Expert

  • Elsbethen, Austria
  • Full time
  • Competitive
  • 16th June 2025
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Full Description

Passion for Data? And for Analytics? Check this out!

Our Global Advanced Analytics Enablement Program, Business Analyst 2.0, empowers a wide community of analysts across all departments and countries to unlock value through impactful analytics products, supported by highly granular and diversely accessible data, enhanced technology, capability upskilling, and collaboration.

As the Global Data team, we lead this rapidly expanding multi-year program and are seeking a new Advanced Analytics Expert to support its growth. This role will be crucial in transforming our approach to analytics and enhancing the value we derive from it in the coming years.

Assist business analysts in the Analytics Enablement program with developing valuable analyses and reports by enriching data, advancing technology, upgrading skills, and fostering direct collaboration. A key focus will be data. The ideal candidate will support analysts by designing and building data pipelines to extract data from various sources, load it into our Snowflake data cloud platform, transform it for analysis. Similarly important, though less frequent, will be the research, discovery, identification and validation of new valuable data sources to be made available for business analysts and data scientists.

RESPONSIBILITIES

Areas that play to your strengths

All the responsibilities we'll trust you with:

  • DATA ANALYTICS AND ENGINEERING

    Assist business analysts across all departments and markets with developing impactful analytics products, guiding them from ideation through proof of concept and value to scalable assets. This involves solving them solve business challenges using advanced analytics methodologies, techniques, and tools. Emphasis will be placed on data acquisition and preprocessing, requiring the design and implementation of scalable data pipelines in line with best practices in data architecture. Support will also extend to developing use-case scripts capable of being transformed into widely accessible applications

  • DATA ETHNOGRAPHY

    Research, discover and identify new valuable (external) data sources. Additionally, validate their quality/scalability through solid analysis and prove their value through relevant business cases. Finally, independently lead the data provisioning projects when needed, in cooperation with IT project managers and development teams.

  • COMMUNICATION AND TRAINING

    Co-lead our global advanced analytics enablement programme (currently 400 analysts) and take direct responsibility for community management as needed. Serve as a data ambassador for the Global Data team, fostering a data-driven culture within the organization by leading regular knowledge exchanges and presenting at global meetings. Design, prepare, and deliver global training sessions when necessary.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

  • Minimum of 3 years of professional experience as a data professional (e.g. data engineer, data scientist) or in a business/IT consulting position
  • Strong and proven knowledge in SQL and database cloud solutions, ideally Snowflake, combined with proficiency in standard data architecture design and modelling.
  • Expertise in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus
  • Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial
  • 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.
  • Travel 0-10%

The organisation

Red Bull Logo
Red Bull
  • Sporting Goods & Apparel
  • Salzburg, Austria
  • 2000+ employees
  • Website

Giving wings to people and ideas since 1987 In the 1980’s Dietrich Mateschitz developed a formula known as the Red Bull Energy Drink. This was not…

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