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- Tasks: Define data architecture and create actionable reports for a high-profile NHS project.
- Company: Join a leading consultancy making a real impact in healthcare.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of NHS data systems and improve patient care.
- Qualifications: Experience with healthcare data protocols and cloud ecosystems is essential.
- Other info: Collaborative environment with a focus on agile practices and stakeholder engagement.
The predicted salary is between 36000 - 60000 £ per year.
One of our favourite Consultancy partners urgently requires the services of a Senior Analytics Consultant, on an Outside IR35 basis, to join a project team delivering an Alpha phase of a high-profile NHS project. In this Alpha phase, you aren’t just looking at data; you are defining the blueprint for how an NHS health system will handle information.
Responsibilities:
- Defining the data architecture and interoperability standards (specifically FHIR, HL7, and SNOMED CT) to ensure real-time data capture across Wales.
- Creating draft reports and dashboards that demonstrate how the system will provide actionable intelligence.
- Developing "Early Value Metrics" and a draft benefits framework to justify the transition to the Beta phase.
- Collaborating on the design of "break-glass" workflows and anonymity protocols to protect sensitive patient data.
- Contributing technical data insights to the comprehensive end-of-phase recommendation report for the Programme Board.
Experience/Qualifications:
- Experience or knowledge with healthcare data protocols, such as FHIR, HL7, and SNOMED CT.
- Experience or knowledge of integrating with NHS assets, such as the National Data Resource (NDR) and the NHS Apps, is highly desirable.
- Track record of managing high-risk, sensitive data (PII) within a clinical or highly regulated environment.
- Experience mapping data flows from fragmented legacy systems into modern, API-first architectures.
- Cloud Ecosystems: Familiarity with the Microsoft/Azure stack for data hosting and analytics.
Capabilities:
- Collaborative Problem Solver: You will be "pairing" with NHS staff to share knowledge.
- Agile Practitioner: You must be at home in a fast-paced Agile environment, participating in daily stand-ups, retrospectives, and "show and tells".
- Bilingual Awareness: While the work is in English, you should be mindful of delivering products that support the other Language Standards.
- Diplomacy: The ability to navigate a complex landscape of stakeholders, from clinical leads to tech architects at the NHS, and reach a consensus on data ownership.
If this sounds like you please apply by submitting your latest CV for immediate review by our Talent team.
Senior Analytics Consultant in Wales employer: Unify Talent - IT, Digital & Tech Recruitment
Contact Detail:
Unify Talent - IT, Digital & Tech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Consultant in Wales
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and analytics sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of FHIR, HL7, and SNOMED CT. Be ready to discuss how you've tackled similar challenges in the past and how you can contribute to the NHS project.
✨Tip Number 3
Showcase your collaborative skills! Highlight experiences where you've worked with diverse teams, especially in Agile environments. This will demonstrate your ability to fit into their culture and work effectively with NHS staff.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Analytics Consultant in Wales
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Analytics Consultant. Highlight your experience with healthcare data protocols like FHIR, HL7, and SNOMED CT, and don’t forget to mention any relevant projects you've worked on!
Showcase Your Collaboration Skills: Since this role involves working closely with NHS staff, it’s crucial to demonstrate your collaborative problem-solving abilities. Share examples of how you’ve successfully partnered with others in past projects.
Highlight Agile Experience: This position thrives in a fast-paced Agile environment, so be sure to mention your experience with Agile practices. Talk about your participation in stand-ups, retrospectives, or any other Agile ceremonies you've been part of.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Unify Talent - IT, Digital & Tech Recruitment
✨Know Your Data Protocols
Make sure you brush up on FHIR, HL7, and SNOMED CT before the interview. Being able to discuss these protocols confidently will show that you understand the core requirements of the role and can hit the ground running.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with diverse teams in the past, especially in high-pressure environments. Highlight your experience in Agile settings and how you’ve successfully navigated stakeholder relationships, as this is crucial for the role.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in previous roles, particularly around managing sensitive data or integrating systems. Be ready to discuss how you approached these problems and what solutions you implemented, as this will resonate well with the consultancy's needs.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data architecture and cloud ecosystems, particularly Microsoft/Azure. Brush up on your knowledge of API-first architectures and be prepared to explain how you would approach mapping data flows from legacy systems.
