3 HR IT Analytics Project Manager Jobs in Salzburg
RESPONSIBILITIES
- Coordinate and oversee scope, budget, time, quality, and external implementation teams/partners.
- Execute projects following Red Bull project management standards and principles.
- Collaborate with external vendors and internal teams such as architecture and business partners.
- Manage stakeholders, risks, and testing processes.
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What you will be doing:
- Define and lead our global e-commerce vision and roadmap- aligning it with Atomic’s brand values and business goals in every market we serve.
- Oversee the financial performance of our e-commerce business. Set clear goals and track key metrics like traffic, conversion rate, average order value, and customer lifetime value to drive smart, sustainable growth.
- From paid search and SEO to on-site campaigns, checkout, and post-purchase support - you’ll improve every part of the digital shopping journey to make it easier, faster, and more rewarding for skiers around the world.
- Manage day-to-day operations, including the product catalog, merchandising, order fulfillment, payment systems, and logistics. The goal: a seamless, reliable, and user-friendly experience from click to delivery.
- Act as the link between commercial, IT, and digital marketing teams. Use tools like Google Analytics, Adobe Analytics, and SAP Analytics Cloud to turn data into actions that move the business forward.
- Evaluate and evolve our digital tools - Magento, Shopify, headless CMS platforms, and more - to support growth and scalability.
- Keep Atomic at the cutting edge of digital commerce by spotting shifts in consumer behavior and exploring emerging tech.
- Run regular performance reviews and strategy sessions with key stakeholders. Ensure the business, brand, and digital direction are always moving in sync.
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RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: good at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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