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- Tasks: Join a dynamic team as a Data Analyst, analysing data to drive strategic decisions.
- Company: Be part of a specialist insurance business experiencing exciting growth.
- Benefits: Enjoy a hybrid working model with flexibility and a competitive salary up to £45,000.
- Why this job: Make a real impact with data insights while developing your skills in a supportive environment.
- Qualifications: Degree in a data-related field and strong knowledge of Power BI required.
- Other info: Opportunity for professional development and potential leadership roles.
The predicted salary is between 36000 - 54000 £ per year.
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.
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.
Data Analyst employer: Michelle Denny Recruitment
Contact Detail:
Michelle Denny Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Power BI and SQL. Consider creating a small project or portfolio piece that showcases your skills in these areas, as it can be a great conversation starter during interviews.
✨Tip Number 2
Network with professionals in the insurance industry or data analytics field. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in your application.
✨Tip Number 3
Prepare to discuss how you've used data to drive decisions in past roles. Think of specific examples where your insights led to improvements or strategic changes, as this aligns well with the responsibilities outlined in the job description.
✨Tip Number 4
Stay updated on the latest trends in data analytics and business intelligence. Being knowledgeable about current technologies and methodologies will not only impress your interviewers but also demonstrate your commitment to continuous learning.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your expertise in Power BI, data modelling, and any experience with ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background fits the company's needs. Mention specific projects or achievements that demonstrate your analytical skills and problem-solving abilities.
Highlight Technical Skills: Clearly list your technical skills, especially those mentioned in the job description such as MS SQL, Excel with VBA, and any familiarity with Azure or Python. This will help you stand out to recruiters looking for specific qualifications.
Showcase Soft Skills: In addition to technical skills, highlight your critical thinking, attention to detail, and ability to communicate data effectively. These soft skills are crucial for a Data Analyst and can set you apart from other candidates.
How to prepare for a job interview at Michelle Denny Recruitment
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis tools, especially Power BI. Bring examples of how you've used these tools to derive insights and make recommendations in previous roles.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your critical thinking and problem-solving skills. Prepare to share specific instances where you identified a data issue and how you resolved it, highlighting your analytical approach.
✨Communicate Clearly
Since the role involves guiding stakeholders through data content, practice explaining complex data concepts in simple terms. This will show your ability to communicate effectively with non-technical team members.
✨Stay Updated on Industry Trends
Research the latest trends in data analytics and business intelligence technologies. Being knowledgeable about current developments will demonstrate your commitment to continuous improvement and learning.
