Data Analyst Wilmslow (Hybrid - 3 days onsite per week) Salary: £35K-£38K Are you a Data Analyst who's eager to grow in a forward-thinking business? We're looking for someone who can communicate insights clearly, build powerful dashboards, and bring fresh thinking to the table.

What You'll Be Doing

• Provide data support to the Management Team, improve underlying data used throughout the business and ad hoc information projects as needed.
• Take the lead in optimising reporting, processes and ways of working cross functionally
• Collaborate with the Data Team to build dashboards in our data analysis software, to support data led commercial decisions. Our goal is self-service reporting, enabling all team members to find answers to their own questions.
• Monitor and maintain a high level of data integrity in all systems. Work with teams to improve data accuracy and integrity, to support business wide consistency and trust in dashboards.
• Collate data from a variety of sources to be used throughout the business.

What We're Looking For

• Strong systems experience including tools like Power BI, Tableau, Qlik or similar
• Excellent communication, interpersonal and organisational skills
• Highly Analytical mindset
• Experience analysing category data and driving insights
• High level of proficiency in Excel
• Deep understanding of commercial KPI’s
• Ability to spot trends, highlight issues and apply creative thinking to all situations
• Excellent attention to detail and accuracy
• Good communication, interpersonal and organisational skills
• A self-motivated, ambitious attitude, you're keen to learn, grow, and make your mark
• Ability to work collaboratively while driving your own projects forward

Applicants for Data Analyst must live commutable distance to Wilmslow (SK9 post code) as will be expected onsite 3 days per week if successful. Client is unable to offer sponsorship so applicants must have RTW. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.