At a Glance
- Tasks: Transform data into actionable insights and create stunning visualisations for diverse clients.
- Company: Join Grant Thornton Ireland, a leader in data analytics and consulting.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and client success.
- Why this job: Make a real impact by delivering data-driven recommendations to clients.
- Qualifications: Experience with Power BI, Tableau, Excel, SQL, and strong problem-solving skills.
The predicted salary is between 31500 - 38500 £ per year.
Grant Thornton Ireland in Belfast seeks a Data Analyst to deliver data insights and visualisations for diverse clients.
You will transform data into actionable recommendations and collaborate with stakeholders across the business.
The role combines hands-on analytics with problem solving, using Power BI, Tableau or Excel, SQL and related tools. Hybrid work with client-site presence as required.
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Hybrid Data Analyst | Power BI & Analytics for Impact employer: Grant Thornton International Ltd
Grant Thornton Ireland is an exceptional employer, offering a dynamic work environment in Belfast that fosters professional growth and collaboration. With a strong emphasis on employee development, flexible working options, and a diverse client portfolio, you will have the opportunity to enhance your skills while making a meaningful impact in the field of UK VAT. Join us to be part of a supportive team that values innovation and excellence.
Contact Details:
Grant Thornton International Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Analyst | Power BI & Analytics for Impact
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We think you need these skills to ace Hybrid Data Analyst | Power BI & Analytics for Impact
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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