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- Tasks: Transform raw data into actionable insights and collaborate with stakeholders.
- Company: Join a global fintech company revolutionising customer experience.
- Benefits: Enjoy up to £55K salary, fully remote work, unlimited holidays, and a £500 home office budget.
- Why this job: Be part of a thriving team with a strong reputation and impactful projects.
- Qualifications: 7+ years in SQL and 5+ years with reporting tools like Tableau and PowerBI.
- Other info: Experience in an Agile environment is preferred; extensive knowledge of Looker is a plus.
The predicted salary is between 39600 - 77000 £ per year.
This range is provided by Realtime Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Realtime Recruitment
IT Recruitment Consultant at RealTime Recruitment | Senior Appointments | Northern Ireland
Opportunity to join a global fintech company that are revolutionising customer experience with next-generation capabilities!
Your New Company:
Join a thriving company founded by someone with an excellent reputation for bringing some of the world\’s top technology brands to NI. The company has acquired half a dozen of its competitors over the last twenty years and is currently on the hunt for a NEW Senior Data Analyst to join their team.
Your New Role:
As a highly valued member of the team, the Senior Data Analyst will work to transform raw data into actionable insights, collaborate with stakeholders, and deliver analyses that optimise business functions and enhance the stakeholder experience.
You Will Get:
- Up to £55K salary (depending on experience)
- Fully remote working
- Unlimited holidays
- £500 budget to set up a state-of-the-art home office
- Group life insurance (4x salary)
- And MORE! Get in touch for more information
Your Skills + Experience:
- 7+ years’ experience with advanced SQL skills across platforms such as Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, and more
- 5+ years’ experience with reporting and visualisation tools including Looker, Tableau, PowerBI, and more
- Experience working in an Agile environment
- Extensive knowledge of Looker and LookML is highly preferred
- Familiarity with the software product lifecycle
- Solid understanding of data preparation, processing, and categorisation
For a chat about this Senior Data Analyst role (or any other) please contact Aoife Quinn on 02895 211121 / aoife.quinn@realtime.jobs in strictest confidence – or simply apply via the link.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting and Financial Services
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Contact Detail:
Realtime Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Up to £55K
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL platforms and reporting tools like Looker and Tableau. Being able to discuss your hands-on experience with these technologies during an interview will set you apart.
✨Tip Number 2
Showcase your understanding of the Agile environment by preparing examples of how you've successfully collaborated with teams in past projects. This will demonstrate your ability to adapt and thrive in a dynamic work setting.
✨Tip Number 3
Research the company’s recent acquisitions and their impact on the fintech landscape. Being knowledgeable about their business strategy will help you engage in meaningful conversations during interviews.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
We think you need these skills to ace Senior Data Analyst - Up to £55K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of experience with SQL and your proficiency in reporting tools like Looker, Tableau, and PowerBI. Use specific examples to demonstrate how you've transformed data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience in Agile environments and how it aligns with the company's goals. Be sure to include why you're excited about the opportunity to work in a global fintech company.
Showcase Relevant Projects: If possible, include a portfolio or examples of previous projects where you successfully used advanced SQL skills and visualisation tools. This will help illustrate your capabilities and give the hiring team a clearer picture of your expertise.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Senior Data Analyst role.
How to prepare for a job interview at Realtime Recruitment
✨Showcase Your SQL Skills
Given the emphasis on advanced SQL skills in the job description, be prepared to discuss your experience with various platforms like Snowflake and BigQuery. Consider bringing examples of complex queries you've written or challenges you've overcome using SQL.
✨Demonstrate Your Analytical Thinking
As a Senior Data Analyst, you'll need to transform raw data into actionable insights. Be ready to explain your thought process when analysing data and how your insights have positively impacted previous projects or stakeholders.
✨Familiarise Yourself with Looker and LookML
Since extensive knowledge of Looker and LookML is highly preferred, make sure you brush up on these tools. You might be asked about specific features or how you've used them in past roles, so having practical examples will set you apart.
✨Prepare for Agile Environment Questions
With experience in an Agile environment being a requirement, think about how you've contributed to Agile teams in the past. Be ready to discuss your role in sprints, collaboration with stakeholders, and how you adapt to changing requirements.
