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- Tasks: Deliver impactful analytics on insurance claims and create engaging dashboards.
- Company: Leading professional services organisation with a focus on data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with exposure to strategic client-facing analytics.
- Why this job: Make a real difference in analytics while collaborating with diverse teams.
- Qualifications: Strong experience in insurance claims data and advanced SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
We are currently partnered with a leading professional services organisation to recruit for a Senior Data Analyst. Based in Manchester, this role focuses on delivering high-impact analytics across insurance claims data, supporting both internal stakeholders and external clients.
Key responsibilities:
- Deliver internal analytics on product usage, performance and adoption
- Build client-facing dashboards and reports covering claims trends, performance and outcomes
- Perform deep-dive analysis into claim cost, duration, liability and settlement drivers
- Develop robust SQL queries and data models to ensure repeatable insights
- Create clear, actionable Power BI dashboards and visual outputs
- Present analytical findings to senior stakeholders and client decision-makers
- Collaborate closely with product, engineering and client teams to translate insight into recommendations
Key requirements:
- Strong experience analysing insurance claims data
- Advanced SQL skills
- Solid Power BI experience, with a focus on clear visual storytelling
- Experience working with large, complex datasets
- Ability to communicate insights clearly to both technical and non-technical audiences
This is a senior-level role offering exposure to strategic, client-facing analytics within a data-driven environment.
Senior Data Analyst in Manchester employer: DGH Recruitment Ltd
Contact Detail:
DGH Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who work in analytics or insurance. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI dashboards and SQL queries. This visual evidence of your capabilities can really impress potential employers during interviews.
✨Tip Number 3
Prepare for interviews by practising your storytelling skills. Be ready to explain your analytical findings in a way that resonates with both technical and non-technical audiences. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with insurance claims data, SQL skills, and Power BI expertise. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our team. Be sure to mention specific projects or achievements that showcase your skills.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Include examples of how you've used analytics to drive decisions or improve processes. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at DGH Recruitment Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of insurance claims data. Brush up on key metrics and trends that are relevant to the role, as this will help you demonstrate your expertise during the interview.
✨Showcase Your SQL Skills
Prepare to discuss your experience with SQL in detail. Be ready to share examples of complex queries you've built and how they’ve led to actionable insights. This is a crucial skill for the role, so make it shine!
✨Visual Storytelling with Power BI
Since the role involves creating dashboards, practice explaining your visual outputs. Bring examples of your Power BI work to the interview and be prepared to discuss how you translate data into clear, compelling stories for different audiences.
✨Engage with Stakeholders
Think about how you would present your findings to both technical and non-technical stakeholders. Prepare a few scenarios where you successfully communicated complex data insights and how they influenced decision-making.