Business Intelligence Developer

Retinue
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Architect

Data Engineer

Business Intelligence & Data Engineering Lead

Business Intelligence Analyst (Power BI / SQL)

Company Description

Retinue is a leading provider of specialist workforce management solutions across Health & Care, Social Housing & Built Environment. By leveraging deep sector knowledge, we significantly improve cost, control, continuity, and compliance for our clients. Our robust supply chain capabilities ensure high fill rates even in challenging markets while delivering substantial savings. We combine recruitment, procurement, and technology expertise to create mutually beneficial outcomes for our clients, nurturing sustainable relationships that often span over a decade.


Role Description

This is a full-time hybrid role for a Power BI Developer, located in the London Area, United Kingdom, with some work-from-home flexibility. The Power BI Developer will be responsible for developing and managing BI solutions, designing dashboards, creating data models, and performing data warehousing tasks. The candidate will also extract, transform, and load (ETL) data from different sources, ensuring data integrity and optimizing reporting processes using Power BI.


Technical Experience

  • 2+ years hands on experience designing, developing and maintaining dashboards in Power BI                                             
  • Strong understanding of data modelling and visualisation concepts.                                                                    
  • Expertise in SQL server & T-SQL                                                            
  • Integrating with data warehouse / data lakes                              
  • DAX                                                                                                    
  • Excel/PowerPoint                                                                                   
  • PowerQuery                                                                     
  • Azure technologies preferred                             


Required Soft Skills

  • Team collaboration
  • Proactive, ready to propose new solutions
  • Attention to detail, problem-solving skills, and analytical thinking
  • English language on good communicative level
  • Accurate communication and documentation
  • Ability to engage, influence and build relationships with a varied stakeholder group 

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.