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- Tasks: Create stunning data visualisations using Looker and LookML for a major UK bank.
- Company: Join a leading consultancy firm working with top-tier financial institutions.
- Benefits: Enjoy a 12-month contract with competitive monthly pay and potential for growth.
- Why this job: Make an impact in the banking sector while honing your data skills in a dynamic environment.
- Qualifications: Expertise in Looker, LookML, and SQL required; experience with large datasets is a plus.
- Other info: Ideal for those passionate about data governance and security in financial services.
Our client is seeking an accomplished data visualisation analyst with expert level Looker/LookML skills. This is a 12 month Fixed Term Contract position (paid monthly, not a day-rate contract) for a consultancy firm, onsite at a major UK banking organisation. The successful candidate will be responsible for designing and developing LookML models to create high-quality visualisations, based on requirements direct from the business and via BAs/product managers. You will have several years direct experience with Looker Core and strong SQL skills, ideally working with large datasets in a cloud tooling context (Snowflake/BigQuery). Exposure to commercial banking would be advantageous, particularly the standards of data governance or security that are expected in financial services.41bf1e1f-b16b-4260-a40a-17c77a06fd15
BI / Data Analyst (Looker) employer: Thomson Keene
Contact Detail:
Thomson Keene Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI / Data Analyst (Looker)
✨Tip Number 1
Familiarise yourself with Looker and LookML by exploring online resources, tutorials, and forums. This will not only enhance your skills but also demonstrate your commitment to mastering the tools required for the role.
✨Tip Number 2
Network with professionals in the banking and data analytics sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and expectations in data governance and security.
✨Tip Number 3
Prepare to discuss your experience with large datasets and cloud tools like Snowflake or BigQuery. Be ready to share specific examples of how you've used these technologies to solve problems or improve processes in previous roles.
✨Tip Number 4
Research the consultancy firm and the banking organisation they work with. Understanding their business model and challenges can help you tailor your discussions and show how your skills align with their needs.
We think you need these skills to ace BI / Data Analyst (Looker)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience with Looker and LookML in your CV and cover letter. Provide specific examples of projects where you've designed and developed LookML models, showcasing your ability to create high-quality visualisations.
Showcase SQL Skills: Since strong SQL skills are essential for this role, include details about your proficiency in SQL. Mention any relevant projects or tasks where you have successfully worked with large datasets, particularly in a cloud environment like Snowflake or BigQuery.
Understand the Industry: Familiarise yourself with the standards of data governance and security expected in the financial services sector. If you have experience in commercial banking, be sure to mention it, as it will strengthen your application.
Tailor Your Application: Customise your CV and cover letter to align with the job description. Use keywords from the job posting to demonstrate that you meet the specific requirements and understand the role's responsibilities.
How to prepare for a job interview at Thomson Keene
✨Showcase Your Looker Expertise
Be prepared to discuss your experience with Looker and LookML in detail. Bring examples of past projects where you designed and developed LookML models, highlighting the impact of your visualisations on business decisions.
✨Demonstrate SQL Proficiency
Since strong SQL skills are essential for this role, be ready to answer technical questions or even solve SQL problems during the interview. Brush up on your SQL knowledge and be prepared to explain your thought process.
✨Understand Data Governance Standards
Familiarise yourself with data governance and security standards, especially in the context of commercial banking. Be ready to discuss how you have ensured compliance in previous roles or how you would approach it in this position.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, the tools they use, and their expectations for the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
