At a Glance
- Tasks: Drive impactful data analytics and collaborate with teams to enhance decision-making.
- Company: Join AEGIS London, a forward-thinking company valuing diversity and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for personal growth.
- Other info: Dynamic team culture focused on fairness, respect, and continuous improvement.
- Why this job: Be at the forefront of analytics, using AI tools to shape the future of insurance.
- Qualifications: Experience in data analytics, advanced SQL, and Power BI skills required.
The predicted salary is between 55000 - 65000 € per year.
Purpose of the Role
Reporting to the Data Analytics Manager, the Senior Data Analyst is a hands-on individual contributor who helps the team through its shift from platform delivery (post-EDP) toward value-added analytics and commercial insight. The role contributes to building lasting data partnerships with the underwriting, claims and exposure management teams, so that analytics are embedded in day-to-day decision-making. The Senior Data Analyst will apply and role-model the technical standards the team works to peer review, version control, documentation, testing and release management - and will aid the Data Analytics Manager to raise the overall maturity of the function. They will contribute to the most complex analyses and help introduce new techniques, including the practical application of AI tools within the analytics workflow. This position is suited to someone with demonstrable experience in the data analytics field with familiarity of the insurance sector being advantageous.
Duties and Accountabilities
- Act as the senior analytics business partner to one or more underwriting classes, proactively identifying where analytics can improve pricing, portfolio steering, renewal decisions and exposure management.
- Translate open-ended commercial questions into well-scoped analyses and dashboard requirements.
- Closely collaborate with the wider business to identify areas of automation and acceleration to improve operational efficiency.
- Identify practical opportunities to enhance the analytics workflow with AI tooling.
- Support the Data Analytics Manager in shaping external data analytical propositions.
- Apply and help embed the team’s development lifecycle for BI and analytics assets.
- Follow and help maintain robust source-control practices for Power BI content.
- Contribute to Power BI workspace governance.
- Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene.
- Work closely with Data Engineering on changes to the semantic / curated layer and data marts.
- Deliver complex analytics workstreams end-to-end.
- Work within an Agile framework.
Skills, Knowledge and Experience
Essential
- Significant experience in a data analytics or BI role with exposure in a Lloyd’s syndicate, managing agent, London Market broker or specialty (re)insurer being advantageous.
- Advanced SQL, including query optimisation and working with the Azure data stack.
- Advanced Power BI: data modelling, advanced DAX, Power Query / M, performance tuning, RLS, and deployment via pipelines.
- Understanding of Power BI engineering discipline.
- Proven ability to carry out peer review and QA of analytics work.
- Excellent written and verbal communication skills.
- Strong stakeholder engagement.
Desirable
- Python for data analysis and an appreciation of wider data science techniques.
- Hands-on experience applying AI / LLM tooling to analytics work.
- Experience with Microsoft Fabric, dbt, Azure DevOps / GitHub Actions, and data-quality tooling.
- Actuarial background.
AEGIS Values
- Fairness and respect: We make decisions considering the best interests of key stakeholders.
- Open and inclusive: We act with integrity, valuing diversity of thought and background.
- Ambitious: We have a passion for success, aspiring to be recognised as best in class.
- Striving to be better: We strive to improve at all times, challenging complacency.
- Investing in people’s potential: We provide an environment where each employee can reach their personal potential.
AEGIS London is an equal opportunities employer and recognises the value of a diverse workforce in facilitating better decision making and business growth.
Senior Data Analyst employer: AEGIS London
At AEGIS London, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through our robust training programmes and mentorship opportunities, ensuring that every team member can reach their full potential while contributing to meaningful analytics in the insurance sector. With a culture rooted in fairness, respect, and inclusivity, we encourage diverse perspectives and strive for excellence in all that we do.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field, especially those in the insurance sector. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best analytics projects, especially those involving Power BI and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for data analysts and practice your responses. Be ready to discuss how you've used AI tools in your previous work – it’s a hot topic right now!
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
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 with SQL, Power BI, and any relevant analytics projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Don't forget to mention any experience in the insurance sector if you have it!
Showcase Your Technical Skills:We love seeing technical skills in action! If you've got experience with AI tools or advanced DAX, make sure to include specific examples of how you've used these in your previous roles. It’ll help us understand your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at AEGIS London
✨Know Your Data Inside Out
Before the interview, dive deep into your past data analytics projects. Be ready to discuss specific examples where you used SQL and Power BI to solve complex problems. Highlight how your insights led to tangible business outcomes, especially in the insurance sector.
✨Showcase Your AI Savvy
Since the role involves applying AI tools within analytics workflows, brush up on your knowledge of AI applications in data analysis. Prepare to discuss any hands-on experience you have with AI tooling, like Copilot for Power BI, and how it can enhance analytics processes.
✨Prepare for Technical Questions
Expect technical questions around SQL optimisation, DAX, and Power BI governance. Practice explaining your approach to version control and peer reviews, as these are crucial for maintaining high standards in analytics work. Being able to articulate your thought process will impress the interviewers.
✨Engage with Stakeholders
Demonstrate your strong stakeholder engagement skills by preparing examples of how you've turned ambiguous business problems into clear analytical outcomes. Show that you understand the importance of collaboration and communication in driving successful analytics initiatives.
