At a Glance
- Tasks: Drive innovation in data analytics for health insurance underwriting and pricing.
- Company: Join a leading health insurance company with a focus on collaboration and creativity.
- Benefits: Work from home, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and AI integration.
- Why this job: Make a real impact in the evolving world of health insurance through data-driven insights.
- Qualifications: 3+ years in data analysis, strong Python and SQL skills, and a proactive mindset.
The predicted salary is between 45000 - 55000 £ per year.
Locations: Dublin, London (Bishopsgate), Munich
We are seeking a highly skilled and motivated Data Analyst to join our dynamic Underwriting Technical Transformation team within the Health Insurance Line of business. This role offers a unique opportunity to be at the forefront of driving innovation and data-driven decision-making in underwriting and pricing.
As a Data Analyst, you will play a pivotal role in shaping our centralized data analytics function, which supports technical areas such as underwriting, pricing, and commercial. You will work collaboratively with cross-functional teams, including Data Science, Data Program, Portfolio Monitoring, Pricing and Underwriting, to design, build and implement robust data pipelines in order to deliver actionable insights that enhance business performance and customer outcomes.
What you will do:
- Support and participate in the build and delivery of a clear roadmap for the creation and modernization of a robust data environment aimed at ensuring commercial and strategic success for the business.
- Technically support the design, construction and maintenance of data for the business.
- Understand and implement database and data engineering concepts and terminology, design principles and elements in order to deliver data and analytics.
- Build and maintain production-grade data pipelines in order to automate data extraction, transformation, and loading (ETL) processes.
- Coordinate data projects with different levels of complexity depending on existing methods, processes and tools.
- Collaborate and engage with Data Program and Data Science teams to support the creation, maintenance and enhancement of reports, tools, datasets and dashboards to facilitate analysis and ongoing review of KPIs, e.g. leveraging Power BI.
- Understand the data relationships that exist between the business processes and systems, applying this knowledge when interpreting the information requirements from the business.
- Perform in-depth data analysis to identify trends, patterns, and opportunities for optimization in pricing & underwriting processes.
- Deliver data outputs into a format for presentation to senior management.
- Gather, interpret, identify gaps and translate business MI and reporting requirements into solutions.
- Manage and coordinate stakeholders and build a robust communication structure for data-related projects.
- Advise stakeholders and actively clarify their expectations and requirements.
- Assume responsibility for change, communication, quality and risk management.
AI Readiness: Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.
Qualifications:
- Mathematics, Computer Science from top tier university.
- Proven relevant experience (min. 3 years) in data analysis, preferably within the insurance or healthcare sector.
- Hands-on experience in writing maintainable and testable production-grade Python in a collaborative approach.
- Strong proficiency with direct exposure to SQL/ SQL optimization, Git version control, CI/CD practices as well as data visualization tools (e.g. Power BI). VBA would be useful.
- Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts) with the ability to translate complex data into actionable insights.
- A proactive mindset with a passion for driving change and innovation through data.
Why join us: This is more than just a data analytics role - it’s an opportunity to make a tangible impact on the future of health insurance underwriting. You’ll be part of a team that values creativity, collaboration, and continuous improvement, all while working in a fast-paced and evolving industry.
If you’re ready to take on a challenging and rewarding role where your expertise in data analytics can truly make a difference, we’d love to hear from you!
Data Analyst - Work From Home in Croydon employer: Allianz
Allianz Commercial is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a strong focus on career advancement through tailored training programmes and flexible working options, employees can thrive in their roles while enjoying a comprehensive benefits package. The home-based nature of the Senior Risk Control Surveyor position, combined with opportunities for travel across the UK, allows for a unique work-life balance and the chance to engage directly with clients in diverse environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Work From Home in Croydon
✨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 Allianz!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst - Work From Home at Allianz.
✨Leverage Professional Networks
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 Allianz.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Work From Home at Allianz, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst - Work From Home in Croydon
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 Allianz, 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 Allianz. 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 Allianz
✨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 Allianz!
✨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.
