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- Tasks: Analyse data, build dashboards, and deliver insights to improve business processes.
- Company: Join Archer Recruitment, a leading IT recruitment consultancy in Ireland.
- Benefits: Enjoy fully remote work, competitive salary, and a 5% bonus.
- Why this job: Be part of global FinTech projects and make a real impact in a high-functioning company.
- Qualifications: 5+ years as a Senior Data Analyst with strong SQL and reporting skills.
- Other info: Opportunity to work with top talent in the data space.
The predicted salary is between 33000 - 46000 £ per year.
Fully Remote! Are you an experienced Senior Data Analyst? Do you go far beyond the basic requirements of gathering requirements and building dashboards? Have you mastered the use of tools such as SQL, Looker, Tableau and Power BI? My client is searching for top talent in the data space to join their company and use their understanding of data analysis to drive business processes and add real value to a company that aims to dominate its field in the not-too-distant future.
In this role, you’ll deliver insights, compare old and new data to improve business processes and revolutionise projects on a global scale to save both time and money as you play your part in ensuring the continued success of an already high-functioning company.
Gain exposure to global scale FinTech projects.
- 5+ years’ in a Senior Data Analyst role
- Strong SQL skills (Snowflake, BigQuery, Oracle etc)
- Strong Reporting/Visualisation skills (Looker, Tableau etc)
Up to €55,000 + 5% Bonus.
Senior Data Analyst (SQL, Power BI) employer: Archer - The IT Recruitment Consultancy
Contact Detail:
Archer - The IT Recruitment Consultancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (SQL, Power BI)
✨Tip Number 1
Network with professionals in the data analytics field, especially those who have experience with SQL and Power BI. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your expertise by contributing to online forums or communities related to data analysis. Sharing your insights on platforms like LinkedIn can help you get noticed by recruiters looking for top talent.
✨Tip Number 3
Consider creating a portfolio of your previous projects that highlight your skills in SQL and data visualisation tools. This can serve as a practical demonstration of your capabilities during interviews.
✨Tip Number 4
Stay updated on the latest trends and technologies in data analytics. Familiarising yourself with emerging tools and methodologies can give you an edge over other candidates when discussing your qualifications.
We think you need these skills to ace Senior Data Analyst (SQL, Power BI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Senior Data Analyst, particularly your proficiency in SQL and reporting tools like Power BI and Tableau. Use specific examples of projects where you've delivered insights and improved business processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how your skills align with the company's goals. Mention your experience with global scale projects and how you can contribute to their success.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects you've worked on. Highlight your role, the tools you used, and the impact your work had on the business.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data analysis.
How to prepare for a job interview at Archer - The IT Recruitment Consultancy
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Power BI during the interview. Prepare specific examples of how you've used these tools to drive business insights and improve processes in your previous roles.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to analyse data sets or interpret results on the spot. Practise explaining your thought process clearly and concisely, as this will demonstrate your ability to communicate complex information effectively.
✨Research the Company and Its Projects
Familiarise yourself with the company's recent projects and their impact on the FinTech industry. This knowledge will not only help you tailor your responses but also show your genuine interest in contributing to their success.
