National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Business Intelligence Analyst

SPG Resourcing
5 months ago
Applications closed

Related Jobs

View all jobs

Operations Senior Data Analyst

Data Science and Analytics Senior Business Analyst

Procurement Senior Data Analyst (Supervisor)

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Job Title:Senior BI Analyst

Location: Remote (with occasional travel, and expenses covered)

Salary:£45,000–£50,000


SPG is working with one of our clients, a global leader in customer experience and business optimisation, specialising in innovative solutions across customer relationship management, digital services, supply chain management, and financial operations


As a Senior BI Analyst, you will lead end-to-end business intelligence projects, transforming raw data into actionable insights. You will work closely with cross-functional teams to develop robust data models, deliver cutting-edge Power BI dashboards, and foster a culture of analytics excellence. This role offers the opportunity to shape the future of our BI function by contributing to strategic initiatives, mentoring junior team members, and driving the adoption of best practices in data management and governance.


Key Responsibilities

  • Manage the lifecycle of BI initiatives from concept to delivery.
  • Develop and maintain accurate, scalable data models to support strategic decision-making.
  • Design and deliver Power BI dashboards to provide actionable insights for internal and external stakeholders.
  • Mentor junior analysts and contribute to the restructuring of the BI team.
  • Drive data governance efforts and promote self-service BI tools across the organisation.
  • Utilise tools and methodologies such as Kimball, SQL, DAX, Power BI, and Python to create innovative solutions.


Essential Skills and Experience:

  • Advanced proficiency in Power BI, including integration with an understanding of Azure Machine Learning.
  • Expertise in SQL and Python (or R) for data analysis and modelling.
  • Strong experience in dimensional data modelling and master data management (MDM).
  • Familiarity with statistical methods (e.g., regression, clustering).


If this sounds like something you are interested in, please get in contact:

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.