Data & Systems Specialist (6 Months FTC) in London

Data & Systems Specialist (6 Months FTC) in London

London Temporary 37800 - 46200 £ / year (est.) No working from home possible
Red Bull

At a Glance

  • Tasks: Optimise supply chain tools and support technical projects using SAP, Celonis, and Power BI.
  • Company: Join Red Bull UK, a dynamic company that values innovation and diversity.
  • Benefits: Gain hands-on experience, develop your skills, and work in a vibrant team environment.
  • Other info: Engage in exciting projects and enjoy opportunities for personal and professional growth.
  • Why this job: Make a real impact by streamlining processes and enhancing data insights in a leading brand.
  • Qualifications: Experience with SAP, SQL, and Power BI is essential; strong analytical skills are a plus.

The predicted salary is between 37800 - 46200 £ per year.

Company Description

Red Bull UK is currently recruiting for a Data & Systems Specialist for 6 Months FTC to be based in London, UK.

Reporting into the Head of Supply Chain and with responsibility across all 3 sub-functions (Planning, Logistics & Customer Service), the Data & Systems Specialist will be the central owner for System Support (inc.

SAP & EDI), Process Development/Optimisation (including process mining & process automation), Technical Project Co-ordination (Celonis / ESKER / SAP TM) and all relevant Pricing & Customer Master data.

The Data & Systems specialist is responsible for optimising our existing Supply chain tools and championing new technologies.

They will streamline and improve our ways of working through the adoption of new technology and sharing key actionable insights, making the teams time more efficient and allowing them to focus on the value add.

You will be the go to person for supporting on technical issues, responsible for upskilling the team on our various tools (SAP (MM, SD & TM), Celonis & Esker) and have an eye for analysis and data.

You will support the team with the introduction of improved reporting functionality across the teams using data models, Power BI and other relevant tools.

Job Description

  • Customer Data
  • Responsible for the creation and maintenance of all relevant Customer Master data in SAP and related systems - including pricing (CPM) and Customer Hierarchy changes.
  • Ensure best practice and continued improvement of our data holding.
  • Leverage Celonis to add improved control & reporting on our customer data providing data driven insights and new capability to the team.
  • Systems
  • SAP Super User, lead all developments, hot-pack testing and HQ escalation for this system. This will include regular comms & updates to Stakeholders.
  • Support with the onboarding of new Customers to EDI with HQ IT teams.
  • Regularly review our HQ Tools & Solutions for implementation in the UK Market.
  • Manage and support with the introduction, training and documentation of new tools into the team (incl. use of Power BI & SQL).
  • Projects Co-ordination
  • Serve as the central co-ordinator for all Technical Supply chain projects (ESKER / CELONIS / EDI developments etc.)
  • Share regular updates with the team and key stakeholders on timelines, progress, and any blockers.
  • Monitor and manage the Projects from end to end, highlighting any risks to the team.
  • Ensure adoption and regular use of all "added value" tools delivered into the team and actively participating in continuous improvement projects associated with these tools (e. g.

Esker).

  • Update and monitoring of Projects through Adobe Workfront on behalf of RBUK Supply chain.
  • Process Development
  • Leading the execution of process mining & automation (RPA) across the supply chain team – looking for opportunities to simplify, automate and optimise tasks.
  • Ensure that processes are executed according to the corporate governance and guidelines.

Escalates to the key user and Operations Manager processes out of standards and contributes proactively in the improvement of processes.

  • Other
  • Documenting all key processes in role (manual, guidelines, BPPs) to ensure that contingency/cover is possible of this business-critical role.
  • Engagement, support & involvement in wider team activities to help contribute to a highly engaged Supply Chain team.
  • Reporting
  • You will work alongside the Supply Chain team to introduce improved reporting functionality by automating data pulls, creating data sets and building either Excel or Power BI dashboards to drive greater visibility and decision making.
  • Support the team by streamlining data sources from 3PL portals and SAP BI systems.

Qualifications

SAP experience (MM & SD modules) is essential.

Experience with SQL and Python or R - Highly desirable.

Experience building & maintaining Power BI reports from scratch.

High level Microsoft Excel user.

Experience with Data architecture / design preferred.

Strong communication skills (written & verbal).

Excellent attention to detail.

Ability to multi-task essential.

Developed problem solving and analytical skills.

Proactive outlook on continuous improvement.

  • Additional Information
  • Performance Goals

1. Delivery & Co-ordination of key projects throughout the year.

2. Implementation of Tools or Systems that lead to improved ways of workings in the team

3. Supporting the achievement of the following Supply Chain KPI areas (via system, process & data control & accuracy):

  • FG Stock holding & availability.
  • Physical Distribution Costs (including rework & destruction costs)
  • Customer Service Level

At Red Bull, we exist to give people wiiings.

To achieve that, we recognise the value that comes from having a highly diverse workforce that has the freedom and responsibility to realise their ideas and seize opportunities.

We make recruiting decisions based on experience, skills, potential and talent: everyone is welcome here.

Data & Systems Specialist (6 Months FTC) in London employer: Red Bull

Red Bull UK is an exceptional employer that fosters a dynamic and innovative work culture, encouraging employees to make a significant impact in the retail sector. With a strong focus on professional development, employees have access to growth opportunities and collaborative projects that enhance their skills in communication, negotiation, and data analysis. Located in a vibrant environment, Red Bull offers unique advantages such as a supportive team atmosphere and the chance to work with leading brands in the DIY and Apparel sectors.

Red Bull

Contact Details:

Red Bull Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Systems Specialist (6 Months FTC) in London

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Red Bull before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Red Bull.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Red Bull.

We think you need these skills to ace Data & Systems Specialist (6 Months FTC) in London

SAP (MM & SD modules)
EDI
Celonis
Esker
Power BI
SQL
Python

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Red Bull, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Red Bull, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Red Bull’s attention and show the tangible impact of your work.

How to prepare for a job interview at Red Bull

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Red Bull.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Red Bull.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Red Bull.