Business Intelligence Analyst

NHS
Lancashire
1 month ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst (Forecasting/Planning Analytics)

Business Intelligence Analyst

Business Intelligence Analyst

Job Summary

Inspiring Healthier Communities – The Nimbuscare Journey

At Nimbuscare we pioneer a bold, collaborative model of care. Born from a collective of GP practices in York, we have evolved into one of the most dynamic and innovative health and care providers in the country. Our journey is driven by a simple but powerful belief: when we work together we achieve better outcomes for the people we serve.

About Nimbuscare

Nimbuscare is a not‑for‑profit, socially driven organisation within the NHS family. We are collaborative, agile and innovative at our core, working with partners across the system to remove complexity, inspire trust and create person‑centred solutions that make healthcare better for everyone.

Opportunity

You will be in a pivotal role at the heart of our organisation, supporting directorates and senior leaders by delivering meaningful intelligence on service performance and contract delivery, population health trends and equity, and utilisation, outcomes and impact.

What You’ll DoBusiness Intelligence & Performance Reporting
  • Design and deliver clear, accurate dashboards and reports across clinical and non‑clinical services.
  • Monitor KPIs, SLAs and outcomes across multiple contracts.
  • Develop standardised tools and templates to support consistent, high‑quality reporting.
Insight to Drive Service Improvement
  • Provide trend analysis, forecasting and scenario modelling to inform planning and transformation.
  • Work with operational and clinical teams to understand pathways, identify variation and recommend improvements.
  • Deliver deep‑dive analysis on population health, access and outcomes to support neighbourhood strategies.
Data Quality & Governance
  • Maintain high standards of data quality, integrity and validation.
  • Support robust data governance and security processes in line with regulatory requirements.
  • Con to a single version of truth across the organisation.
Stakeholder Engagement & Storytelling
  • Translate complex data into clear, compelling insight for diverse audiences.
  • Present findings to internal leaders and external partners, including system stakeholders.
  • Build trusted relationships that enable teams to use data confidently to tell their story of impact.
About You

You will be curious and insightful, collaborative, purpose‑driven, adaptable and detail‑oriented.

Person Specification QualificationsEssential
  • Advanced skills in data analysis and visualisation tools such as Power BI, Excel or Tableau.
  • Proficiency in data modelling and querying using SQL or equivalent.
  • Understanding of NHS, Local Authority and voluntary sector data sets.
Desirable
  • Familiarity with population health management and risk stratification approaches.
  • Knowledge of national policy around neighbourhood health and the NHS Long Term Plan.
ExperienceEssential
  • Proven experience in a data, performance or business intelligence analyst role (preferably in health, care or public sector).
  • Experience designing and assessing performance frameworks and working with service contracts or SLAs.
Desirable
  • Experience working within Integrated Care Systems, Hospital Trusts or Primary Care Networks.
  • Experience delivering insights that support quality improvement (e.g. PDSA cycles, logic models).
Disclosure and Barring Service Check

Applications will be subject to a Disclosure and Barring Service check as required by the Rehabilitation of Offenders Act 1975.

Certificate of Sponsorship

Applicants requiring Skilled Worker sponsorship are welcome to apply. Applicants seeking a Certificate of Sponsorship may also apply. For further information please visit the UK Visas and Immigration website.

Employer Details

Nimbuscare Ltd

Gateway 1, Holgate Park Drive, Holgate, York, YO26 4GG


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.