Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage the full data lifecycle, including extraction, transformation, and loading.
- Company: Join an industry-leading organisation in the finance sector.
- Benefits: Enjoy a fully remote role with a competitive salary of up to £60,000.
- Why this job: Be part of a centralized team that supports data needs across the organisation.
- Qualifications: Experience with SQL and cloud services like Azure, AWS, or GCP is essential.
- Other info: Nice to have skills include Python and Snowflake.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
BI AnalystUp to £60,000Fully remote
THE CLIENTThis is an exciting opportunity to join an industry-leading organisation in the finance sector.
THE ROLEThis role is part of a centralized team that supports the data requirements across the entire organization. You will manage the full data lifecycle, including data extraction, transformation, and loading.
SKILLS AND EXPERIENCESQLCloud Service – Azure, AWS or GCPFinancial services or similar industry experience
NICE TO HAVEPythonSnowflake
APPLYSend an email or apply below to register your interest.
Senior BI Analyst employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BI Analyst
✨Tip Number 1
Familiarise yourself with the specific cloud services mentioned in the job description, such as Azure, AWS, or GCP. Having hands-on experience or relevant certifications can really set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, as this is a crucial part of the role. Consider working on personal projects or contributing to open-source projects that involve data manipulation and analysis to showcase your expertise.
✨Tip Number 3
If you have experience in the financial services sector, be ready to discuss specific projects or challenges you've faced. This will demonstrate your understanding of the industry and how you can add value to our team.
✨Tip Number 4
Network with current BI Analysts or professionals in the finance sector through platforms like LinkedIn. Engaging in conversations can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior BI Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in SQL and cloud services like Azure, AWS, or GCP. Emphasise any previous roles in the finance sector or similar industries to demonstrate your suitability for the position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the data lifecycle and your experience with data extraction, transformation, and loading. Mention any specific projects where you successfully managed these processes.
Highlight Technical Skills: Clearly list your technical skills, especially SQL and any experience with Python or Snowflake. This will help your application stand out, as these are key skills for the Senior BI Analyst role.
Showcase Relevant Experience: In your application, provide examples of how you've used data analytics to drive business decisions in previous roles. This could include specific metrics or outcomes that resulted from your analysis.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your SQL Skills
As a Senior BI Analyst, your SQL expertise is crucial. Be prepared to discuss specific projects where you've used SQL for data extraction and transformation. Highlight any complex queries you've written and the impact they had on decision-making.
✨Familiarise Yourself with Cloud Services
Since the role involves working with cloud services like Azure, AWS, or GCP, make sure you understand their functionalities. Be ready to explain how you've utilised these platforms in previous roles, particularly in relation to data management and analytics.
✨Demonstrate Financial Sector Knowledge
Having experience in the financial services sector is a plus. Brush up on industry trends and challenges, and be prepared to discuss how your background can contribute to the organisation's goals. This will show that you understand the context of your work.
✨Prepare for Technical Questions
Expect technical questions related to data lifecycle management, including ETL processes. Review your knowledge of tools like Python and Snowflake, as well as any relevant methodologies. Being able to articulate your thought process will impress the interviewers.
