At a Glance
- Tasks: Join our data team to shape innovative AI services and ensure strong data governance.
- Company: esure Group is revolutionising insurance with over 2 million customers trusting us since 2000.
- Benefits: Enjoy a competitive salary, flexible benefits, private medical insurance, and generous annual leave.
- Why this job: Be part of a digital transformation, collaborate with experts, and make a real impact in the industry.
- Qualifications: Proficiency in SQL and Python, experience with cloud data warehouses, and a passion for data governance.
- Other info: Hybrid working options available; join our internal networks for community and growth.
The predicted salary is between 28800 - 48000 £ per year.
Ready to join a team that’s leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold commitment for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do.
Join our data team to help craft and build innovative machine learning and AI services. You’ll work alongside scientists, engineers, architects, and analysts, embedding strong governance from the start. Partnering with our governance lead, you’ll help set enterprise-wide standards in collaboration with risk, compliance, and privacy teams—shaping how we deliver responsible, high-impact innovation.
- Provide data governance and management advice across the business.
- Collaborate with data owners, stewards and other members of the data community to achieve desired outcomes in a pragmatic way.
- Design and implement effective processes and controls that ensure data is managed throughout its lifecycle from creation/acquisition, through its use, transfer & storage to retention and destruction.
- Curation and development of our data artefacts and knowledge (e.g. data flows, catalogues, data dictionaries, asset registers, lineage etc).
- Support governance team on data governance management and training, awareness & communications to ensure key messages are understood and data literacy matures.
- Own the delivery of key data governance deliverables and outcomes ensuring requirements of DPO, privacy, legal and infosec teams are met.
- Collaborate with our AI team to develop and implement standard methodology for the rollout of GenAI products.
- Work with architects on best design for data products.
- A passion for incorporating standard methodology and collaborating with various partners to improve the culture around data.
- Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS.
- This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency in SQL based data manipulation and Python is needed.
- A curiosity about the AI landscape and evolving technologies around guardrails and content filtering. A solid understanding of structures and unstructured data management preferred.
- Experience with data profiling and data quality assessment tools.
We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Data Analyst - Data Governance - SQL - Python employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Governance - SQL - Python
✨Tip Number 1
Familiarise yourself with the latest trends in data governance and management. Understanding the current best practices will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the insurance and data analytics sectors. Attend industry events or join online forums to connect with people who can provide insights about the company and its culture.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that showcase your abilities in these areas.
✨Tip Number 4
Research esure Group's recent digital transformation initiatives. Being knowledgeable about their projects and how they leverage data can give you an edge during discussions with the hiring team.
We think you need these skills to ace Data Analyst - Data Governance - SQL - Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data governance, SQL, and Python. Use specific examples that demonstrate your hands-on experience with cloud data warehouses and data management processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data governance and innovation in the insurance industry. Mention how your skills align with esure Group's mission to revolutionise insurance and your enthusiasm for collaborating with various teams.
Showcase Your Technical Skills: Clearly outline your proficiency in SQL and Python within your application. Provide examples of projects or tasks where you successfully used these skills to manipulate data or implement governance processes.
Highlight Collaborative Experience: Emphasise any previous experience working in cross-functional teams, especially in roles that required collaboration with data owners, compliance, and privacy teams. This will show your ability to work effectively within the data community at esure Group.
How to prepare for a job interview at esure Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any experience with cloud data warehouses like Databricks or Snowflake.
✨Understand Data Governance Principles
Familiarise yourself with data governance concepts and be ready to explain how you would implement effective processes and controls. Discuss your understanding of data lifecycle management and how it applies to the role.
✨Demonstrate Collaboration Skills
Since this role involves working with various teams, emphasise your ability to collaborate effectively. Share examples of past experiences where you partnered with different stakeholders to achieve common goals.
✨Express Your Curiosity About AI
Show your enthusiasm for the evolving AI landscape. Discuss any relevant projects or research you've done related to AI technologies, especially in terms of governance and responsible innovation.