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For Companies At a Glance
- Tasks: Ensure data accuracy and reliability while tackling data quality issues head-on.
- Company: Join Canopius, a leading global insurer with a positive workplace culture.
- Benefits: Enjoy hybrid working, competitive salary, health cover, and a focus on wellbeing.
- Why this job: Make a real impact by improving data quality in a dynamic insurance environment.
- Qualifications: Strong analytical skills, Excel, SQL, and knowledge of data quality best practices required.
- Other info: Flexible working model with excellent career growth opportunities in the heart of London.
The predicted salary is between 28800 - 48000 £ per year.
Overview
The Data Governance and Data Quality team ensures data remains accurate, reliable, and fit for purpose by proactively monitoring data quality and addressing data exceptions as they arise. As a centralised function, the team serves as the main point of contact for reporting data quality queries, carrying out root cause analyses on issues identified (whether related to data entry, process, system, or reporting concerns), and collaborating with data owners, stewards, or custodians to resolve problems and establish robust data quality checks. The team runs regular working group meetings with representatives from each business domain, including data owners, stewards, and custodians. These meetings provide a transparent forum for discussing and resolving data-related issues, prioritising data quality queries, reviewing raised items, tracking progress on outstanding issues, and ensuring accountability for follow-up actions.
Responsibilities
- Support the implementation and monitoring of data quality processes to ensure that organisational data is accurate, complete, timely, and fit for purpose.
- Undertake investigation and analysis of data quality issues as they are reported to identify and document the impact, the associated risk(s), the root cause(s), potential remediation options and preventative actions / controls that should be put in place to prevent recurrence.
- Liaise with data stewards in defining data quality standards, determining how they will be applied across the business, and implementing them as rules within the data quality software.
- Prepare presentation materials and lead data quality working group sessions.
- Monitor the performance of the data quality software.
- Support the development of data quality checks in the data quality software.
- Train business teams on the data quality software.
- Facilitate business user sessions to evaluate data quality rules and exception KPIs, ensuring that exception rules function as intended and that additional controls are developed in accordance with business needs.
Skills And Experience
- Excellent analytical and problem solving skills.
- Strong Excel and data analysis skills.
- Strong SQL skills to analyse and manipulate data.
- Strong communication and stakeholder management skills.
- Knowledge of best practices in data quality analysis.
- Insurance Market domain knowledge is required.
- Power BI and Databricks knowledge is desirable.
Benefits
We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes 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.
Equal Employment Opportunity
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.
Data Quality Analyst in Manchester employer: Canopius Group
Contact Detail:
Canopius Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Canopius. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL and Excel skills. Be ready to showcase your analytical prowess with real-life examples. We want to see how you tackle data quality issues!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. Plus, it keeps you on their radar.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of our community from the get-go, which is always a bonus!
We think you need these skills to ace Data Quality Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Analyst role. Highlight your analytical skills, SQL expertise, and any relevant experience in data quality processes. We want to see how you can fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how your background aligns with our needs. Let us know what excites you about working at Canopius.
Showcase Your Skills: Don’t forget to showcase your strong Excel and data analysis skills. If you have experience with Power BI or Databricks, mention that too! We love seeing candidates who are well-rounded in their technical abilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Canopius Group
✨Know Your Data Inside Out
As a Data Quality Analyst, it's crucial to have a solid understanding of data quality principles and practices. Brush up on your knowledge of data governance, root cause analysis, and the specific data quality standards relevant to the insurance market. This will not only help you answer questions confidently but also demonstrate your expertise.
✨Show Off Your Analytical Skills
Prepare to discuss your analytical and problem-solving skills in detail. Think of specific examples where you've successfully identified and resolved data quality issues. Be ready to explain your thought process and the tools you used, such as SQL or Excel, to analyse and manipulate data effectively.
✨Communicate Clearly and Effectively
Strong communication is key in this role, especially when liaising with data stewards and presenting findings. Practice articulating complex data concepts in simple terms. You might even want to prepare a short presentation on a data quality issue you've tackled before, showcasing your ability to lead discussions and engage stakeholders.
✨Familiarise Yourself with the Tools
Since the role involves using data quality software, make sure you're familiar with the tools mentioned in the job description, like Power BI and Databricks. If you have experience with these, be prepared to discuss it. If not, consider doing a bit of research or a quick tutorial to get a basic understanding, which could impress your interviewers.
