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

Apply Now

Senior Data Analyst - Commercial Modeller

Rullion Limited
Nottingham
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Chelmsford

Senior Data Analyst - Saint Eval

Senior Data Analyst

Senior Data Analyst...

Senior Data Analyst...

Our client is seeking a skilled Senior Data Analyst - Commercial Modeller to join its growing Data team. This role is responsible for delivering timely, accurate, and actionable data analysis to support strategic business decisions. The ideal candidate thrives in dynamic, fast-paced environments that emphasize autonomy and impact. They are passionate about uncovering insights and resolving complex business challenges, demonstrating a start-up mindset with a willingness to tackle tasks of any size while developing scalable solutions to enhance the team's capabilities. They are committed to contributing to the company's growth and advancing their career alongside the organization's development. It is initially a 6-month contract with potential to be extended. The role is Hybrid, with one day a week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities:* Collaborate with stakeholders across the organization in a consultative manner to understand their requirements and identify the most effective data and analytics approaches.* Serve as a trusted data expert, with comprehensive knowledge of available data and the ability to apply the most suitable analytical techniques, ranging from Tableau dashboards to segmentations and root cause analysis.* Demonstrate a strong passion for driving impact, whether by uncovering underlying causes, delivering optimal customer intelligence data products, or providing actionable insights that enable the organization to adopt a data-driven culture.* Excel in storytelling and data visualization, presenting insights and recommendations clearly, effectively, and with actionable focus to senior leaders.* Take ownership of complex projects, ensuring high-quality, timely, and accurate deliverables.* Advocate for best practices, innovation, and continuous improvement, fostering a culture of innovation and excellence within the team.Knowledge and Skills:* Demonstrate extensive proven experience as a senior data analyst.* Possess extensive experience in the retail energy sector, with a focus on supporting commercial or finance functions.* Expert in modelling retail customer behaviour and complex business processes.* Exhibit excellent problem-solving abilities and a strong sense of curiosity.* Highly proficient in advanced SQL and Python programming.* Skilled in applying advanced analytics techniques, including modeling and segmentation.* Strong expertise in visualization tools, with a preference for Tableau.* Experience in leveraging cloud platforms, such as DataBricks, for building data pipelines.* Familiar with Git or similar version control systems, adept in using branches and pull requests for collaborative development.* Exceptional communication and presentation skills, capable of engaging with non-technical stakeholders.* Thrive in fast-paced, high-empowerment environments.* Outstanding team player with a focus on collaboration and effective communication.* A statistics or mathematics degree, or equivalent qualification in a relevant field* Please note:Should your application be successful, and you are offered the role, a number of pre-employment checks need to be carried out before your appointment can be confirmed. Any assignment offer with our client will be subject to a satisfactory checking report from the Disclosure Barring Service.This vacancy is being advertised by Rullion Ltd acting as an employment business.Since 1978, Rullion has been securing exceptional candidates for a range of clients; from large well-known brands, to SMEs and start-ups. As a family-owned business, Rullion's approach is credible and honest, focused on building long-lasting relationships with both clients and candidates.We celebrate and support diversity and are committed to ensuring equal opportunities for both employees and applicants.Rullion celebrates and supports diversity and is committed to ensuring equal opportunities for both employees and applicants

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.