At a Glance
- Tasks: Lead a greenfield Power BI initiative and design a reporting environment from scratch.
- Company: Rapidly scaling business in the healthcare sector with a focus on innovation.
- Benefits: Competitive day rate, flexible hybrid work, and opportunity for long-term engagement.
- Other info: Exciting opportunity to work independently with senior stakeholders and shape the future of data analytics.
- Why this job: Make a significant impact by transforming data processes and enabling future AI capabilities.
- Qualifications: Experience in greenfield Power BI setups and knowledge of data governance in regulated environments.
Contract Data Architect/Consultant - Greenfield Power BI Implementation
Length: Initial 4-week discovery - 18+ month roadmap
Location: South UK/London - hybrid
Start Date: October 2026
Rate: Day Rate Outside IR35/Deliverables negotiable
The role: I'm looking for a Contract Data Architect/Consultant to lead a greenfield Power BI initiative, designing and implementing the reporting and analytics environment from the ground up as the first step in a wider transformation within a rapidly scaling business.
- Own the initial setup and architecture of a brand-new Power BI environment
- Assess fragmented/disconnected data sources and design a consolidation approach
- Define data models, governance, and best-practice standards from scratch
- Translate operational pain points (manual reporting, siloed systems) into a scalable BI architecture
- Lay foundations that support future AI-enabled reporting capability
What we're looking for:
- Proven experience delivering greenfield Power BI setups (not BAU/maintenance)
- Background in NHS, Government, MedDev, Medical, or Pharma/healthcare regulated experience is highly relevant
- Experience consolidating fragmented data sources and modernising manual reporting processes
- Strong grasp of data governance and security best practices in regulated environments
- Comfortable working independently with senior stakeholders in a scaling business
If you are interested, please apply ASAP as we are looking to set up interviews in the coming week.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Senior Data Architect/Consultant employer: Experis
As a Technical Stores Person at our Boscombe Down location, you will be part of a dedicated team supporting military operations with a focus on efficiency and high standards of service. Our company fosters a collaborative work culture that values employee growth, offering training opportunities and the chance to develop your skills in a dynamic environment. With a commitment to excellence and compliance, we provide a unique opportunity to contribute meaningfully to the defence sector while enjoying the benefits of working in a supportive and professional setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect/Consultant
✨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 Experis 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 Experis.
✨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 Experis.
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Experis, 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 Experis, 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 Experis’s attention and show the tangible impact of your work.
How to prepare for a job interview at Experis
✨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 Experis.
✨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 Experis.
✨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 Experis.
