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- Tasks: Join our Data team as an Analytics Engineer, creating insights and automating reports.
- Company: Canopius is a leading global specialty lines (re)insurer with a positive workplace culture.
- Benefits: Enjoy hybrid working, competitive salary, health insurance, and a focus on your wellbeing.
- Why this job: Shape data capabilities while collaborating with stakeholders in a dynamic environment.
- Qualifications: Experience with Power BI, T-SQL, and strong analytical skills are essential.
- Other info: We value diversity and provide equal opportunities for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an Analytics Engineer to work within our Data team to help shape and enhance our data capabilities. The role will involve applying analytical approaches, creating visualisations and automating reports to communicate insights across all areas of the business. The role is business focused and the candidate will need to be able to understand the needs of stakeholders, collaborating with them to determine the optimal solution for delivering their information needs. Development will focus on Power BI and supporting Tabular models but will also include work to transition our remaining legacy estate to our Azure data platform, which primarily includes SSRS and QlikView. We are looking for candidates who can translate business needs into data-driven insights that can be easily understood and leveraged by a variety of business stakeholders.
Key Responsibilities:
- Developing data solutions using Tabular Models and Power BI, delivering user-friendly capabilities to meet the requirements of business stakeholders
- Presenting data insights to stakeholders in formats that they can understand and self-serve
- Ensuring data used for reporting and analyses is accurate and reliable, producing reconciliation evidence back to approved sources
- Peer reviewing development work to ensure that it achieves the intended purpose, is free from error and adheres to our development policies and principles
- Providing support and enhancements to existing reporting solutions and ad-hoc data analyses
- Working closely with the team to transition our remaining legacy reporting solutions onto our strategic cloud platform
- Development of good internal client relationships
- Management of own task list and ensuring that plans and priorities are agreed
- Keeping abreast of developments and trends in data and reporting technology
Skills & Experience:
- Significant development experience using Power BI, Tabular Models and DAX
- Strong T-SQL skills with experience in querying, analysing and manipulating data
- Insurance or other financial service experience is beneficial as the role involves working closely with business users across the organisation
- Strong analytical and problem-solving skills, with a keen eye for detail
- Good communication and presentation skills; able to convey ideas, information and concepts effectively with business stakeholders and team members
- Strong stakeholder management skills, listening to their information needs and enhancing their understanding of our data capabilities to provide the insights they require
- Must be able to demonstrate the ability to work independently as well as in team environments
- Experience of working within an agile squad and knowledge of Azure DevOps is preferable
- Experience of developing with Databricks a bonus, but not essential
- Experience of developing solutions in SSRS or QlikView a bonus, but not essential
About Us
Our benefits include hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.
About Canopius
Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.
Analytics Engineer employer: Canopius
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarise yourself with Power BI and Tabular Models, as these are crucial for the role. Consider creating a portfolio of visualisations that showcase your ability to present data insights effectively.
✨Tip Number 2
Brush up on your T-SQL skills, focusing on querying and manipulating data. You might want to practice by working on sample datasets to demonstrate your analytical prowess during discussions.
✨Tip Number 3
Develop your stakeholder management skills by engaging in mock scenarios where you present data insights. This will help you convey complex information in an easily digestible format, which is key for this position.
✨Tip Number 4
Stay updated on trends in data and reporting technology, especially regarding Azure DevOps and Databricks. Being knowledgeable about these tools can set you apart from other candidates.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, Tabular Models, and T-SQL. Use specific examples that demonstrate your analytical skills and ability to translate business needs into data-driven insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Analytics Engineer role at Canopius. Mention your understanding of their business focus and how your skills align with their needs, particularly in developing user-friendly data solutions.
Showcase Your Communication Skills: Since the role requires strong communication and presentation skills, consider including a brief section in your application that describes how you've effectively conveyed complex data insights to stakeholders in the past.
Highlight Relevant Experience: If you have experience in the insurance or financial services sector, be sure to mention it. Discuss any previous roles where you collaborated with business users to enhance their understanding of data capabilities.
How to prepare for a job interview at Canopius
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI, Tabular Models, and DAX during the interview. Be prepared to discuss specific projects where you've successfully implemented these tools to solve business problems.
✨Understand Stakeholder Needs
Demonstrate your ability to listen and understand the needs of stakeholders. Prepare examples of how you've collaborated with business users in the past to deliver data-driven insights that meet their requirements.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The interviewers will be looking for your ability to present data insights effectively, so consider preparing a few key points or visual aids to illustrate your communication skills.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest developments in data and reporting technology, especially related to Azure and agile methodologies. Showing that you are proactive about learning can set you apart from other candidates.
