Supply Chain Data Specialist β€” Power BI & Fabric Ready in Reading

Supply Chain Data Specialist β€” Power BI & Fabric Ready in Reading

Reading Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
WSH Support Office

At a Glance

  • Tasks: Support and enhance the Supply Chain data platform using Power BI and Microsoft Fabric.
  • Company: Join a dynamic team at Wsh-Support-Office in Reading.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting opportunity to work with cutting-edge technology in a supportive team.
  • Why this job: Make an impact by delivering governed data solutions in a collaborative environment.
  • Qualifications: Experience in data analytics and proficiency in Power BI required.

The predicted salary is between 40000 - 50000 Β£ per year.

Wsh-Support-Office in Reading is seeking a data analytics professional to support the development, governance, and ongoing enhancement of the Supply Chain data platform, including the transition to Microsoft Fabric. You will build and maintain Power BI datasets and semantic models, ensure security and scalability, and collaborate with Supply Chain, Commercial, Digital, and IT to deliver governed data solutions.

Supply Chain Data Specialist β€” Power BI & Fabric Ready in Reading employer: WSH Support Office

WSH Support Office is an exceptional employer, offering a unique Business Degree Apprenticeship in the picturesque Stratford-upon-Avon. With a strong focus on mentorship and hands-on experience in hospitality management, employees benefit from a supportive work culture that fosters growth and development, alongside a competitive salary and additional perks that make this opportunity truly rewarding.

WSH Support Office

Contact Details:

WSH Support Office Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Supply Chain Data Specialist β€” Power BI & Fabric Ready in Reading

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We think you need these skills to ace Supply Chain Data Specialist β€” Power BI & Fabric Ready in Reading

Data Analytics
Power BI
Microsoft Fabric
Data Governance
Data Platform Development
Dataset Management
Semantic Model Creation

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at WSH Support Office, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at WSH Support Office. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at WSH Support Office

✨Brush Up on Your Statistics

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.