At a Glance
- Tasks: Develop and deliver dashboards for Sales, Operations, and Finance using Power BI.
- Company: Join a globally recognised sportswear brand leading digital transformation.
- Benefits: Enjoy remote flexibility and collaborative in-person sessions in London and Watford.
- Why this job: Shape data-driven decisions in a high-impact role with a supportive team culture.
- Qualifications: Expertise in Power BI, data modelling, and experience in fashion or retail preferred.
- Other info: Immediate start with potential for long-term engagement and excellent compensation.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a globally recognised sportswear brand is seeking an experienced Power BI Consultant to develop and deliver three purpose-built dashboards for Sales & Marketing, Operations, and Finance. The goal is to unify key business data from multiple sources—internal and external—into one accessible, reliable analytics platform. This is a hands-on delivery role requiring a practical builder—someone who can pull, clean, connect, and visualise the right data (not all data), and work to a clear deadline.
Looking for someone who has:
- A PhD
- Industry experience in fashion, retail, or wholesale
Key Responsibilities
- Design, build, and deploy user-friendly Power BI dashboards for:
- Sales & Marketing
- Operations & Supply Chain
- Finance & Management
- ERP systems
- Ecommerce platforms (Shopify, Amazon, Zalando, About You)
- CRM and marketing tools (Klaviyo, Google Analytics, social media)
- Wholesale tools (NuOrder, coverage files, aged returns)
Who You Are
- A Power BI expert with strong data modelling and dashboard-building experience
- Hands-on with connecting and integrating multiple data sources, APIs, ERPs, and CRMs
- Fluent in cloud-based data environments and ODBC connections
- Strong Excel skills and ability to manage varied and large datasets
- Adept at working to deadlines and balancing multiple stakeholder needs
- Able to build sector-specific insights for retail, wholesale, ecommerce, and operations
- Familiarity with INFOR Nexus, NuOrder, Sage, Shopify, and/or Klaviyo is an advantage
- Industry experience in fashion, retail, ecommerce, or wholesale is an advantage.
Why Join?
- Work with a globally recognised sportswear brand during a key phase of digital transformation
- High-impact role, shaping how data drives business decisions
- Collaborative culture with in-house tech and BI teams
- Remote flexibility with some in-person collaboration in London and Watford
- Immediate start with potential for extension or long-term engagement
- Compensation: Excellent
Power BI Consultant employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI Consultant
✨Tip Number 1
Familiarise yourself with the specific data sources mentioned in the job description, such as ERP systems and ecommerce platforms like Shopify and Amazon. Understanding how to connect and integrate these systems will give you a significant edge during interviews.
✨Tip Number 2
Showcase your hands-on experience by preparing examples of previous Power BI dashboards you've built. Be ready to discuss the challenges you faced and how you overcame them, particularly in relation to data cleaning and visualisation.
✨Tip Number 3
Network with professionals in the fashion and retail sectors, especially those who have experience with Power BI. Engaging with industry-specific groups on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss how you manage stakeholder expectations and balance multiple needs. This role requires collaboration with various departments, so demonstrating your communication skills and ability to tailor insights for different audiences will be crucial.
We think you need these skills to ace Power BI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, data modelling, and dashboard creation. Emphasise any relevant industry experience in fashion, retail, or wholesale to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about working with a globally recognised sportswear brand. Mention specific examples of how you've successfully integrated multiple data sources and delivered impactful dashboards in previous roles.
Showcase Relevant Projects: If possible, include links or descriptions of past projects where you developed Power BI dashboards or worked with large datasets. This will demonstrate your hands-on experience and ability to deliver results under deadlines.
Highlight Technical Skills: Clearly list your technical skills related to Power BI, cloud technologies, and data integration tools. Mention your proficiency with ODBC connections, APIs, and any familiarity with tools like INFOR Nexus or Klaviyo, as these are advantageous for the role.
How to prepare for a job interview at LinkedIn
✨Showcase Your Power BI Expertise
Be prepared to discuss your previous experience with Power BI in detail. Highlight specific projects where you designed and deployed dashboards, especially those relevant to sales, marketing, or finance. This will demonstrate your hands-on skills and understanding of the platform.
✨Understand the Industry Context
Familiarise yourself with the sportswear industry and the specific challenges it faces regarding data analytics. Being able to speak knowledgeably about trends in fashion, retail, and ecommerce will show that you can tailor your insights to the company's needs.
✨Prepare for Technical Questions
Expect questions about data integration from various sources like ERP systems and CRMs. Be ready to explain how you would approach connecting and cleaning data from platforms such as Shopify or Google Analytics, as this is crucial for the role.
✨Demonstrate Collaboration Skills
Since the role involves working with in-house teams, be prepared to discuss your experience collaborating with stakeholders. Share examples of how you've balanced multiple needs and worked effectively within a team to deliver results on time.