At a Glance
- Tasks: Review medical evidence for claims, ensuring accuracy and compliance with protocols.
- Company: Join Verisk, a leader in data analytics and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment focused on continuous improvement and quality.
- Why this job: Make a real impact by ensuring fair outcomes through meticulous data review.
- Qualifications: Detail-oriented, analytical mindset, and strong communication skills required.
The predicted salary is between 36900 - 45100 £ per year.
Are you highly detail-oriented, analytical, and motivated by work where accuracy truly matters? As an Automation Analyst, you will play an important role in reviewing medical evidence for automated personal injury claims, ensuring that data is accurate, documentation is complete, and claims are progressed in line with agreed protocols, service level agreements, industry standards, and legal guidelines.
In this role, you will review medical reports and supporting evidence, update medical data into COA where required, and use your judgement to prioritise work and make evidence-based decisions. You will also help identify trends, discrepancies, system issues, and anomalies, escalating these quickly so that the wider team can continue to deliver high-quality outcomes for clients and customers.
This is a great opportunity for someone who enjoys working with data, medical information, process accuracy, and continuous improvement. You will be part of a collaborative team where quality, customer service, and delivery against targets are key to success.
Responsibilities
- Reviewing medical reports and evidence for personal injury claims, ensuring accurate documentation and COA updates where required
- Assessing, prioritising, and managing claims in line with agreed protocols, service level agreements, industry standards, and legal guidelines
- Maintaining high levels of quality, data accuracy, and data governance across Verisk-COA automated clients
- Identifying and escalating anomalies, discrepancies, trends, or system issues in a timely manner
- Supporting process improvement, insight generation, and collaboration across the team to help deliver strong customer outcomes
Qualifications
- Excellent attention to detail and a strong commitment to accuracy
- Analytical mindset and confidence working with data and documentation
- Strong organisation skills and ability to work to deadlines and agreed targets
- Clear communication skills and a customer-focused approach
- Proactive, collaborative, and team-oriented working style
- Integrity, determination, patience, and sound judgement when reviewing evidence and making decisions
- Willingness to learn, receive feedback, and take on new ideas
- Ability to build positive working relationships with colleagues and stakeholders
At Verisk, we use data, analytics, technology, and deep industry expertise to help customers make better decisions. In this role, you will contribute to meaningful work within claims by supporting accurate, efficient, and fair outcomes through high-quality data review and collaboration. If you enjoy detail-driven work, continuous improvement, and being part of a values-led team, we would love to hear from you.
Data Entry Administrator 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.
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We think this is how you could land Data Entry Administrator
✨Get Involved in Data Science Meetups
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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 Entry Administrator
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.
