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For Companies At a Glance
- Tasks: Analyse data trends and collaborate with teams to enhance insurance claims processes.
- Company: Join a dynamic team in a leading insurance analytics department.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry while developing your analytical skills.
- Qualifications: Experience in data analysis, strong SQL skills, and excellent communication abilities.
- Other info: Flexible working options available, perfect for balancing studies and work.
The predicted salary is between 43200 - 72000 £ per year.
Overview
- Target Start Date: ASAP
- Contract Type: 12 Month Secondment, Part Time, Full Time, Job Share option available
- Salary Range: Up to £60,000 Dependent on Experience
- Location: Eastleigh – Hybrid Working Environment
- Work Level: 4
- Closing Date for applications: Friday 14th November
The Senior Data Analyst will be crucial in the continued success of the Claims Analytics Department. Working as part of a high performing squad, the Senior Claims Analyst will use industry best tools, working closely with stakeholders across Motor and Home insurance claims teams to capture data and reporting requirements, understand business processes and translate them into well-defined requirements.
Main Responsibilities
- Act as the primary interface between the Claims business teams and the Claims Data squad.
- Perform data analysis on source data to uncover trends, anomalies, and opportunities.
- Support Data Management activities such as capturing data definition, business terms, Data quality rules and data quality metrics.
- Provide detailed requirements documentation for the Data Modeler, BI developer, and Engineers.
- Build strong relationships with stakeholders to understand their needs and challenges.
Skills and experience
- Proven experience as a Data Analyst in insurance or financial services, ideally within Claims.
- Strong SQL skills, experience of using Central Data platforms, data tools such as Excel and PowerBI.
- Familiarity with the Claims system or similar platforms.
- Experience with Agile delivery methodologies and working in cross-functional squads.
- Knowledge of SAS and Snowflake.
- Excellent communication and stakeholder management skills.
To find out more about this role and for information please contact Matt Dent or Thillai Jaganathan. For a full copy of the Job Description, please contact Dan O’Connor in Recruitment. Alternatively, click on the “Apply Button” to be considered.
Senior Data Analyst employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the role and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by practising common data analyst questions. We should also be ready to discuss our experience with SQL, PowerBI, and any relevant projects we've worked on.
✨Tip Number 3
Showcase our analytical skills during the interview. Bring examples of how we've uncovered trends or solved problems in previous roles. This will help us stand out as a candidate who can add value.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email can keep us fresh in the hiring manager's mind and show our enthusiasm for the role.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience in insurance or financial services, especially within claims. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t forget to showcase your SQL skills and experience with data tools like Excel and PowerBI. We love seeing candidates who can demonstrate their technical prowess and how they’ve used these tools in real-world scenarios.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how you can contribute to our Claims Analytics Department. We want to feel your enthusiasm through your words!
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just click that ‘Apply Button’!
How to prepare for a job interview at Ageas
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with tools like Excel and PowerBI. Be ready to discuss how you've used these in past roles, especially in the context of insurance or financial services.
✨Understand the Claims Process
Dive deep into the claims process within the insurance industry. Knowing how data flows through this system will help you articulate your insights and demonstrate your understanding of the business needs during the interview.
✨Prepare for Stakeholder Scenarios
Think about examples where you've successfully built relationships with stakeholders. Be prepared to share how you’ve gathered requirements and translated them into actionable insights, as this is crucial for the role.
✨Showcase Your Agile Experience
If you've worked in Agile environments, be ready to discuss your experience. Highlight how you've collaborated in cross-functional teams and adapted to changing requirements, as this will resonate well with the hiring managers.
