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For Companies At a Glance
- Tasks: Design and develop LookML models for high-quality data visualisations.
- Company: Join a leading consultancy firm working with a major UK bank.
- Benefits: Enjoy a 12-month contract with monthly pay and potential for growth.
- Why this job: Make an impact in financial services while honing your data skills in a dynamic environment.
- Qualifications: Expertise in Looker/LookML, strong SQL skills, and experience with large datasets required.
- Other info: Ideal for those passionate about data governance and security in banking.
Job Description
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.
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 or mentors who can provide insights into the specific requirements and expectations of the role.
✨Tip Number 3
Gain a solid understanding of data governance and security standards in financial services. This knowledge will set you apart from other candidates and show that you are aware of the critical aspects of working within a banking environment.
✨Tip Number 4
Prepare to discuss your experience with large datasets and cloud tools like Snowflake or BigQuery during interviews. Be ready to share specific examples of how you've used these technologies to solve problems or improve processes in previous roles.
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 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 in the financial services sector. If you have experience in commercial banking, highlight this in your application to demonstrate your understanding of the industry's requirements.
Tailor Your Application: Customise your CV and cover letter to align with the job description. Use keywords from the job posting, such as 'data visualisation', 'Looker Core', and 'cloud tooling', to ensure your application stands out to recruiters.
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, and be ready to explain your thought process and the impact of your work.
✨Demonstrate SQL Proficiency
Since strong SQL skills are essential for this role, brush up on your SQL knowledge. Be ready to answer technical questions or even solve problems on the spot, showcasing your ability to work with large datasets effectively.
✨Understand Data Governance Standards
Familiarise yourself with data governance and security standards, especially those relevant to the banking sector. Being able to discuss how you ensure data integrity and compliance in your previous roles will set you apart.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to work with business requirements. Think of examples where you successfully translated business needs into actionable data visualisations.
