Data Analyst

Data Analyst - Hybrid (Diss, Norfolk)

Up to a negotiable £45,000, depending on experience Hybrid working: 3 days in-office (near Diss Station) | 2 days WFH - candidates must be based within a sensible East Anglia commute Michelle Denny Recruitment is partnering with a well-established specialist insurance business during a time of ongoing growth. We're on the lookout for a skilled Data Analyst to join their technical data team and help shape business decision-making through intelligent reporting and strategic insight. Location & Working Style This role is hybrid, not remote. The head office is just a few minutes from Diss train station. To be considered, candidates must live within East Anglia and have a realistic daily commute to Diss, as three office-based days per week are essential for team collaboration. The Role This position plays a central role in using data to drive smarter processes and support long-term growth. From designing data models to delivering business-critical reporting, you'll be both hands-on and strategic - with room to influence and improve how data is used across the business. Key Responsibilities

• Analyse business data, identify trends and offer practical insights
• Create dashboards and visual reports using Power BI
• Support system migrations and integrate datasets
• Build and maintain robust data models
• Ensure data accuracy through quality checks and validation
• Provide accessible reports to a range of business functions
• Promote automation and self-serve data tools
• Mentor junior team members and support wider data literacy
• Work with stakeholders to understand and meet reporting needs
• Keep informed of emerging data tools and best practice

• Degree in a data-focused subject (e.g. Computer Science, Data Science)
• Proficient in Power BI (including DAX), MS SQL, ETL, and Excel with VBA
• Experience with data modelling, cleansing, and integration
• Confident communicator with strong problem-solving skills
• Detail-oriented and able to manage time across multiple tasks
• Able to work both independently and collaboratively

• Familiar with Azure, Python, PowerShell, SharePoint
• Exposure to statistical tools (e.g. R, SPSS)
• Insurance sector or financial services background
• Understanding of project management methodology

• Up to a negotiable £45,000, depending on experience
• Hybrid working: 3 days in-office (Diss) / 2 days from home
• Opportunity to influence how data is used across the organisation
• Supportive culture with a strong focus on professional growth and development