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- Tasks: Deliver impactful analytics on insurance claims data 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: Collaborative environment with exposure to senior stakeholders and client-facing analytics.
- Why this job: Make a real difference by translating data insights into strategic recommendations.
- Qualifications: Strong experience in insurance claims data analysis and advanced SQL skills.
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
Contact Detail:
Dgh Recruitment 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 data 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 SQL queries and Power BI dashboards. This visual storytelling will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising your presentation skills. You’ll need to communicate complex insights clearly, so rehearse explaining your analytical findings to both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team.
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 get all the updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Dgh Recruitment
✨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 answer questions confidently and demonstrate your expertise.
✨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. Practising some common SQL scenarios can also give you an edge.
✨Visual Storytelling with Power BI
Since the role involves creating dashboards, be prepared to talk about your approach to visual storytelling. Bring examples of your previous work in Power BI, highlighting how you turned data into clear, impactful visuals for stakeholders.
✨Communicate Like a Pro
Practice explaining your analytical findings in simple terms. You’ll need to convey insights to both technical and non-technical audiences, so focus on clarity and relevance in your communication style during the interview.