At a Glance
- Tasks: Analyse and configure insurance pricing models to enhance client solutions.
- Company: Ignite Systems, a leader in innovative technology for the insurance industry.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Exciting chance to work with cutting-edge technologies in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact on insurance pricing strategies.
- Qualifications: Strong analytical skills and experience with data interpretation and client communication.
The predicted salary is between 35000 - 45000 £ per year.
At Ignite Systems, we help insurers and brokers work smarter through innovative technology, data, and automation solutions. As we continue to grow, we're looking for a Data Analyst to join our team and play a key role in supporting and enhancing insurance scheme pricing models, configurations, and client solutions.
This is an excellent opportunity for someone who enjoys working with data, solving complex problems, and collaborating with clients to deliver meaningful business outcomes. Whether you're already working in insurance pricing or have a strong analytical background and are looking to develop your expertise, we'd love to hear from you.
ResponsibilitiesAs a Scheme Analyst, you'll be responsible for maintaining, analyzing, and configuring scheme pricing structures and rules, ensuring they deliver accurate and commercial outcomes for our clients. You will:
- Analyze and interpret pricing data, rules, and algorithms to support scheme performance and profitability
- Configure and maintain pricing structures within our systems
- Investigate scheme queries and implement agreed changes on behalf of clients
- Work closely with internal teams and external stakeholders to deliver enhancements and improvements
- Support testing activities for new scheme configurations, pricing updates, and system changes
- Help ensure the integrity and accuracy of pricing data and outputs
- Contribute to the ongoing evolution of our pricing capabilities, including new technologies and automation tools
We're looking for an analytical thinker who enjoys working with data and can interpret and communicate complex information clearly and confidently. You'll ideally bring:
- Advanced Microsoft Excel skills, including logical functions, formulas and data transformation techniques
- Strong analytical and problem-solving skills
- Experience working with pricing models, schemes, insurance products, or other highly analytical business processes
- Strong communication skills and experience of working directly with clients to manage requests, answer queries, propose and explain solutions
- Excellent attention to detail and a structured approach to tackling problems
- Proactive approach to ensure clients requests are responded to and completed as quickly as possible
- The ability to manage multiple priorities and deliver high-quality outcomes
While not essential, experience in any of the following areas would be highly advantageous:
- Knowledge of insurance pricing, underwriting, delegated authority schemes or related insurance disciplines
- Python, SQL, R or similar programming and data analysis
- Pricing platforms and rating engines, including experience supporting pricing technology implementations
- Microsoft Copilot and AI-assisted productivity tools
- Azure DevOps, Linear, or similar task and workflow management platforms
- Software or user acceptance testing
- Experience of working in a smaller team
Data Analyst in Manchester employer: Verisk Analytics
Verisk Analytics is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer mentorship opportunities and the chance to work on cutting-edge AI-driven projects that enhance decision-making in the insurance industry. Our commitment to professional development and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Verisk Analytics!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Verisk Analytics.
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We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Verisk Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Verisk Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Verisk Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Verisk Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
