Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver data analytics solutions and support data-driven decision-making.
- Company: Join Liberty Specialty Markets, a leading global insurer with a people-first culture.
- Benefits: Enjoy a vibrant environment, career development, and flexible work options.
- Why this job: Make an impact by translating business needs into actionable data solutions.
- Qualifications: Proficient in data analysis, T-SQL, and stakeholder engagement.
- Other info: Be part of a diverse team committed to innovation and continuous improvement.
The predicted salary is between 30000 - 50000 £ per year.
About the Role: Working with the Lead Analytics Engineer, this role is responsible for delivering data analytics solutions that support organisational goals and business priorities. This role works closely with senior stakeholders to translate business needs into actionable data solutions and supports data-driven decision-making across the organization.
Key Responsibilities:
- Deliver data analytics solutions aligned with organizational goals and business priorities.
- Collaborate with senior stakeholders to translate business requirements into actionable data solutions and advocate for data-driven decision-making.
- Provide consultancy and analysis services on projects, identifying opportunities for innovation and process improvement.
- Support best practices in data management, modelling, and analytics, and contribute to the adoption of new tools, methodologies, and emerging technologies.
- Assist in the assessment, planning, and coordination of changes to data warehouse and analytics platforms, working with product owners and technical teams.
- Identify, log, and help resolve issues and bugs, ensuring robust documentation and communication for effective analysis and resolution.
- Monitor and report progress, risks, blockers, and achievements to key stakeholders, supporting transparency and informed decision-making.
Skills and Experience:
- Data Expertise: Proficient in data analysis, reconciliation, and testing methodologies, with a solid understanding of database design, data modelling, and data governance best practices.
- Technical Skills: Advanced proficiency in T-SQL, Excel (including Power Query, Power Pivot, and VBA), skilled with ETL tools such as SSIS and Alteryx, and experience with Power BI, DAX, and other business intelligence platforms.
- Project & Change Management: Experience supporting analytics projects, managing competing priorities, and delivering high-quality outputs within challenging timeframes.
- Stakeholder Engagement: Strong communicator, able to translate complex data insights for technical and non-technical audiences and build trusted relationships with stakeholders.
- Collaboration: Effective collaborator across business, technical, and support functions, driving alignment and shared outcomes.
- Continuous Improvement: Proactive in identifying opportunities for innovation, process optimization, and adoption of emerging analytics tools and methodologies.
- Regulatory & Compliance Awareness: Knowledge of regulatory frameworks (e.g., Solvency II, Data Protection, Financial Crime) and a commitment to upholding high standards of compliance and ethical conduct.
- Insurance Industry Acumen: Experience in the insurance sector is desirable, with an understanding of actuarial, finance, and operational data needs.
- Agile Ways of Working: Familiarity with Agile methodologies and experience applying them to analytics and data projects.
About Liberty Specialty Markets (LSM): Liberty Specialty Markets is part of Liberty Mutual Insurance Group, a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and insureds in all major markets. Our people are key to our success. That is why “Put People First” is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through:
- Offering a vibrant and inclusive environment and committing to their career development.
- Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment.
- Reinforcing that collaborating to share our unique perspectives helps us make better decisions, deliver innovative solutions and pursue our ambitious goals.
- A supportive culture, which includes promoting a healthy work-life balance and working flexibly.
Analytics Engineer in London employer: Liberty Specialty Markets
Contact Detail:
Liberty Specialty Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Liberty Specialty Markets on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data analytics and stakeholder engagement. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Showcase your technical skills! Bring along examples of your work with T-SQL, Power BI, or any other tools mentioned in the job description. Real-life examples can really impress the interviewers.
✨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, it shows you’re genuinely interested in joining our team at Liberty Specialty Markets.
We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your data expertise and technical skills that align with the job description. We want to see how you can deliver data analytics solutions that support our organisational goals!
Showcase Your Collaboration Skills: Since this role involves working closely with senior stakeholders, it's crucial to demonstrate your ability to communicate complex data insights effectively. Share examples of how you've built trusted relationships and collaborated across teams in your previous roles.
Highlight Continuous Improvement: We love candidates who are proactive about innovation! In your application, mention any experiences where you've identified opportunities for process optimisation or adopted new tools and methodologies. This shows us you're aligned with our commitment to continuous improvement.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Liberty Specialty Markets
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in T-SQL and Excel. Be ready to discuss how you've used these tools in past projects, as well as any experience with ETL tools like SSIS and Alteryx. This will show that you can deliver data analytics solutions that align with organisational goals.
✨Speak Their Language
Familiarise yourself with the insurance industry and the specific data needs it has. When discussing your experience, try to relate it back to how it can benefit Liberty Specialty Markets. Being able to translate complex data insights for both technical and non-technical audiences will set you apart.
✨Showcase Your Collaboration Skills
Prepare examples of how you've effectively collaborated with stakeholders in previous roles. Highlight instances where you’ve driven alignment across business and technical teams. This will demonstrate your ability to work closely with senior stakeholders and advocate for data-driven decision-making.
✨Emphasise Continuous Improvement
Be ready to discuss how you've identified opportunities for innovation and process optimisation in your past work. Mention any emerging analytics tools or methodologies you've adopted. This shows that you're proactive and committed to contributing to the continuous improvement of analytics platforms and processes.
