Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze data to drive business performance and communicate insights to senior stakeholders.
- Company: Join a leading player in the pet health services and insurance industry aiming for the UK's #1 Pet Insurer.
- Benefits: Enjoy a competitive salary of £42,500 and a permanent work opportunity.
- Why this job: Be part of a dynamic team making a real impact in pet insurance with advanced data tools.
- Qualifications: Advanced skills in SQL, Power BI, and experience in insurance pricing or finance required.
- Other info: We value diversity and are an equal opportunity employer.
The predicted salary is between 34000 - 51000 £ per year.
We are looking to recruit a Senior Data Insight Analyst. This is your chance to join a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of the UK's #1 Pet Insurer.
What You Can Expect
- Location – Borehamwood
- Salary – £42,500
- Work Type – Permanent
Main Responsibilities as a Senior Data Insight Analyst
- This is a data-focused role requiring strong business understanding alongside the necessary technology (we use SQL and Power BI) and data analysis skills to be able to both build reporting solutions and to communicate reasons for KPI trends to senior stakeholders.
- Understanding and communicating how the key business metrics drive overall performance.
- Monitoring and reporting the metrics and their movements, both standalone and in relation to budgeted targets
- Independently delving into data to discover the cause of changes in performance uncovering actionable opportunities and threats
Core Experience, Skills, and Qualifications
- Advanced technical skills including Power BI, DAX, Power Query
- Advance SQL querying, ideally Microsoft (SQL Server) T-SQL.
- Working knowledge of Microsoft Power BI language M.
- Knowledge of Microsoft tools (Visual Studio, SSIS, SSAS)
- Good understanding of Google Analytics and / Big Query
- Experience of working within a Pricing, Finance or MI department of a general insurance company
For further information on this Senior Data Insight Analyst role apply below
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
By applying you are confirming you are happy to be added to the Addition mailing list regarding future suitable positions and marketing efforts. You can opt out of this at any time simply by contacting one of our consultants.
Senior Data Insight Analyst employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Insight Analyst
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, especially SQL and Power BI. Consider taking online courses or tutorials to sharpen your skills in DAX and Power Query, as these will be crucial for your role.
✨Tip Number 2
Understand the pet health services and insurance industry. Research current trends and challenges within this sector to demonstrate your knowledge during the interview process and show how you can contribute to the company's goals.
✨Tip Number 3
Prepare to discuss your experience with data analysis and reporting. Think of specific examples where you've uncovered actionable insights from data, particularly in a pricing, finance, or MI context, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Network with professionals in the pet insurance industry or related fields. Attend relevant webinars or local meetups to connect with others who might provide insights or referrals that could help you land the job.
We think you need these skills to ace Senior Data Insight Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Data Insight Analyst. Familiarize yourself with the key metrics and technologies mentioned in the job description, such as SQL, Power BI, and data analysis.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your proficiency in SQL, Power BI, and any experience in pricing or finance within the insurance sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background makes you a perfect fit for the role. Mention specific examples of how you've used data to drive business decisions or uncover insights.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Addition+
✨Showcase Your Technical Skills
Make sure to highlight your advanced technical skills in SQL and Power BI during the interview. Be prepared to discuss specific projects where you utilized DAX, Power Query, or any relevant Microsoft tools, as this will demonstrate your capability to handle the data-focused responsibilities of the role.
✨Understand Business Metrics
Familiarize yourself with key business metrics that drive performance in the pet insurance industry. Be ready to explain how these metrics relate to overall business success and provide examples of how you've previously monitored and reported on similar metrics.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to independently analyze data and uncover actionable insights. Think of past experiences where you identified trends or issues through data analysis and be ready to share those stories.
✨Communicate Effectively with Stakeholders
Since the role involves communicating findings to senior stakeholders, practice articulating complex data insights in a clear and concise manner. Prepare to discuss how you've successfully communicated KPI trends and influenced decision-making in previous roles.
