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- Tasks: Support data-driven decisions and enhance reporting tools for the company.
- Company: Dynamic insurance firm focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a pivotal role in transforming data into impactful business insights.
- Qualifications: 5+ years in data analytics with strong Excel and SQL skills.
- Other info: Opportunity to travel and work in a diverse, inclusive environment.
The predicted salary is between 50000 - 60000 £ per year.
Responsibilities
- A central resource to support the Company’s primary functions of underwriting, claims, finance, actuarial and providing the business with data expertise and reporting to empower and guide business decisions.
- Maintain oversight of data governance and establish and operate appropriate controls and reconciliations to ensure data integrity.
- Support the development and maintenance of the data warehouse and reporting tools in conjunction with software and services vendors.
- Provide the data needed for corporate and external regulatory reporting requirements in all applicable territories.
- Conduct detailed data/business analysis on business processes and requirements, identify requirements for specific use cases, and produce high-quality documentation that is clear, concise, and accessible to business and technical audiences.
- Learn about the business to assist and improve upon the reporting and data collection tools already in place.
- Develop tools and dashboards to deliver data for all teams across the company.
- Create regular and ad-hoc analyses of large datasets to produce a deeper understanding of the insurance portfolios.
- Communicate between internal departments and external parties, acting as a 'translator' where necessary to convey requirements and support the organisation's needs.
- Support the maintenance and development of the reporting estate, automating processes and delivering high-quality reports using the most appropriate BI tools.
- Training of junior team members.
- Oversight of workflow within the team and ensuring deadlines are met.
- Potential for travel to other company offices (overseas) as required.
- Build strong productive relationships with the business, IT teams and external third parties in order to deliver effective solutions.
- Work as a pivotal part of the change team, ensuring that technology is at the heart of our business.
- Support in the prioritisation of issues and changes.
- Work closely with our Project Management Team to contribute to project planning.
Qualifications
- Five or more years of experience in data analytics.
- Advanced knowledge of Microsoft Excel including VBA, Power Pivot.
- Advanced knowledge of data programming languages (SQL – required, familiar with Python).
- Experience working with data visualisation/dashboarding tools (Power BI, DAX and M formula).
- Understanding of data warehousing, ETL processes & data quality assurance a plus.
- Advanced knowledge of data analytics, cleaning and preparation.
- Experience using a range of data modeling and data analysis tools (SSMS).
- Insurance experience within the London and US Markets.
- Exposure to London Market and US NAIC Minimum Standards.
- Demonstrable ability to fully understand business processes and business needs.
- Knowledge of Insurance business processes and functions.
- Experience capturing, documenting and delivering detailed documentation and requirements upon technical and highly integrated business systems.
- Strong interpersonal skills with a proven ability to communicate effectively with stakeholders at various levels, both verbally and in writing.
- Creative problem-solving skills.
- Outcome focused, self-motivated, flexible and enthusiastic.
- Ability to work within and promote a diverse and inclusive culture.
Senior Assistant Data Analyst in London employer: Berkley
Contact Detail:
Berkley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Assistant Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about letting people know you’re on the hunt for a Senior Assistant Data Analyst role. You never know who might have the inside scoop on an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool tools you've developed. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analytics scenarios and case studies. Be ready to discuss how you’ve tackled challenges in the past, especially those related to data integrity and reporting. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our company!
We think you need these skills to ace Senior Assistant Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Assistant Data Analyst role. Highlight your experience with data analytics, Excel, and any relevant tools like Power BI. We want to see how your skills match 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 analysis and how you can contribute to our team. Keep it concise but make sure it reflects your personality and enthusiasm for the role.
Showcase Your Projects: If you've worked on any relevant projects, don’t forget to mention them! Whether it's a dashboard you built or a complex dataset you analysed, we love seeing real examples of your work that demonstrate your skills and creativity.
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 shows you're keen on joining StudySmarter!
How to prepare for a job interview at Berkley
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in SQL and Excel. Be prepared to discuss specific projects where you've used these tools to solve problems or improve processes. This will show that you not only understand the technical side but can also apply it effectively.
✨Understand the Business Context
Familiarise yourself with the insurance industry, particularly the London and US markets. Knowing how data impacts underwriting, claims, and finance will help you articulate how you can add value to the company. Research recent trends and challenges in the industry to demonstrate your proactive approach.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice articulating your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical skills and problem-solving abilities.
✨Showcase Your Communication Skills
As a Senior Assistant Data Analyst, you'll need to communicate complex data insights to various stakeholders. Prepare examples of how you've successfully translated technical jargon into accessible language for non-technical audiences. Highlight your experience in training junior team members and collaborating across departments.