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