At a Glance
- Tasks: Analyse insurance claims data and create impactful visual reports using SQL and Power BI.
- Company: Join Kennedys, a leading firm with a focus on innovative IT solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and data governance.
- Why this job: Make a real difference by transforming data into strategic insights for clients.
- Qualifications: Expertise in SQL, Power BI, and experience in insurance claims analysis.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a senior data analyst with strong experience in insurance claims and claims related analysis. The role requires expert SQL skills, solid Power BI capability and the ability to produce clear visual analytical outputs. The analyst will work across internal product analytics and external client facing insights that support business decisions, claims strategy and offer strategy.
Key Responsibilities:
- Serve as a project resource on Kennedys IT projects as required, contributing technical expertise and ensuring alignment with project goals.
- Deliver internal analytics that help the business understand software usage, product performance and adoption patterns.
- Build external client facing dashboards and reports that explain claims trends, operational performance, outcomes and strategic opportunities.
- Work closely with product, engineering and client teams to translate analytical findings into clear recommendations.
- Support the development of analytical frameworks and enable actionable metrics that help clients evaluate claims strategy and operational effectiveness.
- Clean, prepare and validate large datasets drawn from claims systems, product telemetry and operational sources.
- Create Power BI dashboards that present complex information in a clear and actionable format.
- Carry out deep dive analysis to understand drivers of claim cost, duration, liability and settlement patterns.
- Develop SQL queries and data models that ensure reliable and repeatable analytical outputs.
- Present findings to senior internal stakeholders and client decision makers using strong narrative and visual storytelling.
- Contribute to ongoing improvement of data quality, definitions and governance.
Required Experience:
- Advanced SQL skills with the ability to work with complex relational datasets.
- Strong Power BI experience including DAX, modelling and report design.
- Proven ability to create visually clear, user centric, analytical and understandable presentations.
- Background in insurance claims, financial services analytics or related decision support fields.
- Experience working with senior stakeholders and non technical audiences.
- Strong problem solving and analytical thinking.
- Ability to work independently, specify requirements for junior colleagues and manage multiple analysis streams.
- Demonstrable experience with Tableau is an advantage.
- Experience of enabling best data quality management practices, and introduction of data governance processes is an advantage.
- Curiosity and a desire to understand how claims processes and claim outcomes work.
- Ability to communicate complex ideas simply.
- High attention to detail and accuracy.
- Comfortable collaborating across technical and non technical teams.
Please let us know if you require any additional support or adjustments to be made in order to submit your application to Kennedys.
Senior Data Analyst in Manchester employer: Kennedys
Kennedys is an excellent employer, offering a dynamic work culture that values collaboration and professional growth. With a hybrid working policy, employees enjoy the flexibility of remote work while being part of a supportive team in Belfast, where opportunities for career advancement and skill development are abundant. The firm prioritises employee well-being and fosters an environment where proactive individuals can thrive in their legal careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data analytics. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your SQL queries, Power BI dashboards, and any analytical projects you've worked on. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Ace the Interview
Prepare for interviews by practising common data analyst questions and scenarios. Be ready to discuss your past experiences with insurance claims and how you’ve used data to drive decisions. Remember, storytelling is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. 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 highlights your SQL and Power BI skills, especially in relation to insurance claims. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your analytical work and how it’s impacted business decisions. Keep it engaging and personal!
Showcase Your Analytical Skills:In your application, include examples of how you've used data to drive insights and recommendations. We love seeing clear narratives and visual storytelling, so if you have any dashboards or reports, mention them!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Kennedys
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how they helped solve specific problems in your previous roles. Practising with real datasets can help you articulate your thought process during the interview.
✨Showcase Your Power BI Expertise
Prepare to demonstrate your Power BI capabilities by bringing examples of dashboards or reports you've created. Highlight how these visual outputs have driven business decisions or improved client understanding. Being able to explain your design choices will impress the interviewers.
✨Communicate Clearly and Effectively
Since you'll be working with both technical and non-technical teams, practice explaining complex analytical concepts in simple terms. Use storytelling techniques to present your findings, as this will show your ability to engage different audiences and make your insights actionable.
✨Understand the Insurance Claims Landscape
Familiarise yourself with the insurance claims process and current trends in the industry. Being able to discuss how your analytical work can impact claims strategy and operational effectiveness will demonstrate your curiosity and relevance to the role.
