At a Glance
- Tasks: Transform complex data into insights and build Looker dashboards.
- Company: Join a fast-growing Google Cloud Partner in Glasgow, specialising in data solutions for finance.
- Benefits: Enjoy fully remote work with a competitive day rate of £250 - £300.
- Why this job: Be part of a dynamic team empowering financial organisations with cutting-edge technology.
- Qualifications: 4+ years as a Data Analyst with strong Looker and SQL skills required.
- Other info: Contract length is 6 months, starting on 19.05.2025.
The predicted salary is between 50000 - 70000 £ per year.
My client is a fast-growing Google Cloud Platform (GCP) Partner based in Glasgow, specialising in delivering advanced data and analytics solutions to clients within the Financial Services sector. Their mission is to empower financial organisations with cutting-edge cloud technology, enabling smarter, faster decisions through scalable, secure data solutions.
Due to a growing portfolio of client projects, they are seeking a skilled Data Analyst with recent experience using Looker to join our team on a contract basis.
- Location: Fully Remote (Company HQ: Glasgow, UK)
- Contract Length: 6 Months (Initial)
- Day Rate: £250 - £300 per day (Outside IR35)
- Start Date: 19.05.2025
Responsibilities:
- Play a key role in turning complex data into meaningful insights and business value.
- Collaborating with business and technical stakeholders to gather requirements and understand data needs.
- Designing and building Looker dashboards and reports, using LookML and SQL to deliver accurate and scalable data models.
- Interpreting large datasets to provide actionable insights and drive decision-making.
- Ensuring high data quality through validation, testing, and troubleshooting data inconsistencies.
- Partnering with engineering and cloud teams to ensure data pipelines and models align with GCP infrastructure best practices.
Skills & Experience:
- Proven commercial experience as a Data Analyst (4+ years)
- Strong hands-on experience with Looker, including dashboard creation, data modelling (LookML), and report development.
- Advanced SQL skills and ability to work with large, complex datasets.
- Experience working with Google Cloud Platform (GCP), particularly BigQuery.
- Ability to present data insights clearly to non-technical audiences.
- Experience working as a Data Analyst in the Financial Services sector (desirable)
- Familiarity with Git or other version control systems in a BI/reporting context.
If you're an experienced Data Analyst with expertise in the Looker BI tool and strong knowledge in the Google Cloud Platform (GCP), please click APPLY!
Contract Data Analyst Looker BI employer: In Technology Group Limited
Contact Detail:
In Technology Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Analyst Looker BI
✨Tip Number 1
Familiarise yourself with Looker and its functionalities. Since the role specifically requires expertise in Looker, consider creating a few sample dashboards or reports to showcase your skills. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on complex queries and data manipulation. Being able to demonstrate your ability to work with large datasets effectively will be crucial in this role, so practice writing SQL queries that could be relevant to financial data analysis.
✨Tip Number 3
Network with professionals in the Financial Services sector who use Looker and GCP. Engaging with industry peers can provide insights into current trends and challenges, which you can leverage in your discussions during the application process.
✨Tip Number 4
Prepare to articulate how you ensure data quality and troubleshoot inconsistencies. Given the importance of data integrity in financial services, being ready to share specific examples of how you've handled data validation and testing in past roles will set you apart from other candidates.
We think you need these skills to ace Contract Data Analyst Looker BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker, SQL, and Google Cloud Platform. Use specific examples from your past roles that demonstrate your ability to turn complex data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience in the Financial Services sector and how your skills align with their mission of empowering financial organisations.
Showcase Your Technical Skills: When detailing your experience, emphasise your hands-on work with Looker, including dashboard creation and data modelling. Be specific about the projects you've worked on and the impact they had on decision-making.
Prepare for Potential Questions: Think about how you would explain complex data insights to non-technical audiences. Prepare examples of how you've collaborated with stakeholders to gather requirements and ensure data quality in previous roles.
How to prepare for a job interview at In Technology Group Limited
✨Showcase Your Looker Expertise
Be prepared to discuss your hands-on experience with Looker in detail. Highlight specific projects where you designed dashboards or built data models using LookML, and be ready to explain the impact of your work on business decisions.
✨Demonstrate SQL Proficiency
Since advanced SQL skills are crucial 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 the Financial Services Sector
Familiarise yourself with the challenges and trends in the financial services sector. Being able to relate your data analysis skills to real-world financial scenarios will demonstrate your understanding of the industry and its needs.
✨Communicate Clearly with Non-Technical Audiences
Prepare to explain complex data insights in simple terms. Practice how you would present your findings to stakeholders who may not have a technical background, as this is key to driving decision-making in the role.