Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Intelligence Analyst

Alpine F1 Team
Chipping Norton
4 days ago
Create job alert

Company: ALPINE RACING LIMITED

Job Description: Are you passionate about data and analytics, with a keen eye for detail and a drive to make a real impact? We’re looking for a talented Business Intelligence Analyst to join our Information Technology department. Reporting to the Business Intelligence Team Leader, you’ll play a key role in delivering data-driven insights and supporting our organisation’s strategic decision-making.

The Job: As a Business Intelligence Analyst, you’ll be delivering high-quality data and reporting solutions that empower teams across the business. You’ll be responsible for:

  • Designing and developing strategic and operational reporting solutions
  • Writing and troubleshooting SQL queries and report performance issues
  • Collaborating with business stakeholders to align reporting with team needs
  • Supporting self-service users with Power BI guidance and training
  • Developing and maintaining Fabric data pipelines for certified datasets
  • Promoting the importance of quality KPIs as drivers for change
  • Staying up to date with Microsoft technology roadmaps and leveraging Fabric for innovation
  • Providing documentation, training, and day-to-day support across BI functions
  • Assisting IT colleagues with technical challenges and contributing to ITIL Change Management

You’ll be working with tools such as Power BI (DAX, data modelling, transformation, and visualisation), T-SQL, SSRS/Paginated Reports, and APIs. Experience with Fabric, Power Automate, Python, Azure technologies, Office 365, Dynamics 365, and Agile methodologies is a plus.

The Person

We’re looking for someone who lives and breathes data. You’ll bring:

  • Several years’ experience in data analysis/report development using Microsoft BI platforms
  • A passion for analytics and a flair for visual storytelling
  • A dynamic, enthusiastic, and responsible approach to work
  • A strong team ethic and a proactive, can-do attitude
  • The ability to work independently and thrive under pressure
  • Excellent communication skills and a positive personality
Benefits

You’ll benefit from:

  • On-the-job training from senior staff
  • Workshops across wider IT teams
  • Corporate in-house training courses
  • Formal external training opportunities
  • Company pension scheme
  • Free onsite gym
  • Holiday buy-back scheme
  • Subsidised restaurant
  • Opportunities for remote working
  • Private healthcare
  • A leading training and mentoring programme
  • And many other benefits designed to support your personal and professional growth

This is a fantastic opportunity to join a fast-paced, high-performance environment and make a real impact within a world-class Formula One team. Applicants must be able to work in the UK.

Equality and Diversity

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc.


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst - Financial Services

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.