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For Companies At a Glance
- Tasks: Lead analytics and insights to drive growth in Commercial Lines insurance.
- Company: Join RSA, a people-focused insurance company transforming the industry.
- Benefits: Enjoy hybrid working, competitive pension contributions, and continuous development opportunities.
- Why this job: Be part of a diverse team making a meaningful impact in the insurance sector.
- Qualifications: Experience in analytics, stakeholder management, and team leadership is essential.
- Other info: Flexible hours and job share options available for work-life balance.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the CL Insight & Analytics Manager role at RSA
Join to apply for the CL Insight & Analytics Manager role at RSA
Introduction
At RSA, we believe insurance is about people, not things. We provide our inspiring colleagues the support and opportunity to grow together, shape the future, and win as a team. We are going through a transformation journey, providing our people with opportunity to be integral to improving our service and delivering better products to brokers and customers. We are a proud member of the Intact family, we feel part of something bigger, with a presence in North America, the UK and Europe.
Introduction
At RSA, we believe insurance is about people, not things. We provide our inspiring colleagues the support and opportunity to grow together, shape the future, and win as a team. We are going through a transformation journey, providing our people with opportunity to be integral to improving our service and delivering better products to brokers and customers. We are a proud member of the Intact family, we feel part of something bigger, with a presence in North America, the UK and Europe.
We have an opportunity for a CL Insight & Analytics Manager to join our great team on a hybrid basis.
Your Role
The job holder will be responsible in informing and delivering analytics and insight solutions that inform improvement opportunities linked to trading, broker, product and process with Commercial Lines (NIG and RSA).
You will work on setting the strategy for data extraction, transformation, analysis and presentation for Commercial Lines. You will work closely with the CL business to see how predictive analytics and other data analysis could be used to help them improve growth expanding this knowledge out, in time, to other areas of CL where applicable. You will work closely with stakeholders to understand their needs, help to interpret standard KPIs and drive evidence-based decision making.
Key to the role is understanding business needs, the critical nature of information and data accuracy, and impacts of data to providing better outcomes.
You will work in a team environment, working closely with all roles within the analytics & insight team and interacting with a variety of stakeholders across Commercial Lines. You will have strong leadership qualities and demonstrate technical excellence.
About You
You will have considerable experience of working closely with key stakeholders / senior management to define opportunities to demonstrate growth or excellence within designated CL portfolios.
Experience of coaching a team of analysts to set strategic goals to outperform and ensure the business makes best use of analytics and insight outputs, demonstrating good communication skills enabling clear day to day interaction with stakeholders and wider analytics and insight team colleagues.
What We Offer You
At RSA we put our people first. We have adopted hybrid working as standard, to give you a better work/life balance and an excellent flexible working mindset. That is on top of a comprehensive range of benefits, including pension contributions of up to 11% looking after you now, and in the future.
We will give you countless opportunities to continuously develop, alongside a diverse and passionate community of experts, the best the industry has to offer. You will be empowered to be your best self, do your best work, and make a meaningful impact. Our employee promise allows you to shape the future, win as a team, and grow with us.
About Us
Our employee promise is to Shape the Future, Win as a Team and Grow with us, and we support the career development of all RSA colleagues. With our focus on Diversity, Equity and Inclusion throughout all that we do, we ensure that every member of RSA has the opportunity to progress their career.
We understand that home life is a priority and are happy to consider reduced hours or job shares.
Please let us know if there are any changes we could make to the application process to make it easier and more comfortable for you.
As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this position will be offered an interview.
If you wish to be considered under the scheme then please answer yes to the question \”Do you wish to be considered under the Disability Confident Scheme? in RSAs application form\”
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Analyst, and Information Technology
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Industries
Insurance
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CL Insight & Analytics Manager employer: RSA
Contact Detail:
RSA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CL Insight & Analytics Manager
✨Tip Number 1
Familiarise yourself with RSA's values and mission. Understanding their focus on people and transformation will help you align your responses during interviews, showcasing how your experience can contribute to their goals.
✨Tip Number 2
Network with current or former employees of RSA, especially those in analytics roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss specific examples of how you've used analytics to drive business decisions in previous roles. Highlighting your ability to interpret KPIs and deliver actionable insights will demonstrate your suitability for the CL Insight & Analytics Manager position.
✨Tip Number 4
Stay updated on industry trends in insurance analytics. Being knowledgeable about the latest tools and methodologies will not only impress your interviewers but also show that you're proactive and committed to continuous learning in your field.
We think you need these skills to ace CL Insight & Analytics Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the CL Insight & Analytics Manager position. Understand the key responsibilities and required skills, such as experience with predictive analytics and stakeholder management.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the role. Emphasise your analytical skills, leadership qualities, and any experience working with stakeholders in a similar capacity.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the insurance industry and how your background makes you a perfect fit for RSA. Mention specific examples of how you've used analytics to drive business decisions in the past.
Highlight Team Collaboration: Since the role involves working closely with various teams, be sure to include examples in your application that demonstrate your ability to collaborate effectively and lead a team towards achieving strategic goals.
How to prepare for a job interview at RSA
✨Understand the Role
Before your interview, make sure you thoroughly understand the responsibilities of the CL Insight & Analytics Manager role. Familiarise yourself with key terms like predictive analytics and data transformation, as well as how they apply to the insurance industry.
✨Showcase Your Leadership Skills
Since the role requires strong leadership qualities, be prepared to discuss your experience in coaching teams and setting strategic goals. Share specific examples of how you've led teams to success in previous roles.
✨Prepare for Stakeholder Interaction
The job involves working closely with various stakeholders. Think of examples where you've successfully communicated complex data insights to non-technical audiences, demonstrating your ability to bridge the gap between analytics and business needs.
✨Emphasise Data Accuracy
Highlight your understanding of the importance of data accuracy and its impact on decision-making. Be ready to discuss methods you've used to ensure data integrity in past projects, as this is crucial for the role.
