Data Analyst

Michelle Denny Recruitment Consultancy; Diss; Hybrid; GBP 45,000; Full time

Job summary

Join a dynamic insurance business as a Data Analyst, leveraging data insights to drive strategic decisions. In this hybrid role, you'll blend in-office collaboration with the flexibility of working from home. Your expertise in Power BI and data modelling will be essential in promoting data excellence and continuous improvement across departments. This growing firm values professional development, offering you the chance to shape your career while making a significant impact. If you're passionate about data and eager to contribute to a forward-thinking team, this opportunity is for you.

Qualifications

• Strong knowledge of Power BI, including DAX.
• Proven experience in data modelling, cleansing, and standardisation.

Responsibilities

• Analyse activity data and provide insightful recommendations.
• Build and maintain complex data models aligned with industry standards.

Skills

Power BI

ETL

MS SQL

Excel with VBA

Critical thinking

Creative problem-solving

Data modelling

Data cleansing

Data standardisation

Communication

Education

Degree in a data-related discipline

Tools

Power BI

Azure

Python

PowerShell

SharePoint

R

SPSS

Job description

Michelle Denny Recruitment is proud to partner with a specialist insurance business during a dynamic period of growth. We’re searching for a seasoned Data Analyst to join their technical data team and play a key role in supporting business operations through intelligent data insights and strategy. Salary package is iro of £45,000pa, dependant on your experience and skill set.

Location & Working Style

The head office is conveniently located just minutes from Diss Station along the main Norwich line, making commuting straightforward. The role supports a hybrid working model – offering flexibility while ensuring collaboration. 3 days in-office (near Diss Station) | 2 days WFH.

About the Role

The Data Analyst will act as a central pillar in the business, leveraging data to inform strategic decisions, uncover trends, and champion continuous improvement across all departments. From data modelling to potential team leadership, you’ll be hands-on and high-impact.

Key Responsibilities

• Analyse activity data, spot trends, and offer insightful recommendations
• Apply data analysis and visualisation tools (including Power BI)
• Migrate data across various systems and ensure seamless integration
• Build and maintain complex data models aligned with industry standards
• Conduct data quality assurance, validation, and linkage processes
• Create accessible, meaningful reports for all business stakeholders
• Guide stakeholders through data content and business requirements
• Lead the organisation's reporting and data analytics functions
• Promote automation and self-serve data solutions
• Identify and implement preventative measures for data quality issues
• Analyse and forecast trends using statistical tools
• Support and train junior analysts and end-users
• Stay abreast of the latest in BI and analytics technologies

Essential Skills & Experience

• Degree in a data-related discipline (e.g. Computer Science, Data Science)
• Strong knowledge of Power BI (including DAX)
• Expertise in ETL, MS SQL, and Excel with VBA
• Proven data modelling, cleansing, and standardisation experience
• Critical thinking and creative problem-solving skills
• Ability to communicate data clearly and effectively
• Meticulous attention to detail
• Capable of independent and team-based work

Desirable Extras

• Familiarity with Azure, Python, PowerShell, SharePoint
• Experience with data warehousing and statistical tools (R, SPSS, etc.)
• Background in insurance
• Awareness of project management principles

What’s In It For You?

Salary: Up to £45,000 pa (negotiable doe)

Location: Hybrid – 3 days in-office (near Diss Station) | 2 days WFH

This is your opportunity to join a growing business with a genuine commitment to professional development and data excellence. You’ll find a workplace that values improvement, supports learning, and provides room for you to shape your own career trajectory.

How to Apply

To express your interest or find out more, please contact Michelle Denny, or simply apply online to begin your journey.