At a Glance
- Tasks: Lead data insights and deliver powerful visualisations for top clients.
- Company: Grant Thornton, a leading firm in data analytics.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Other info: Join a dynamic team with excellent career advancement potential.
- Why this job: Make a real impact by guiding a team and shaping client strategies.
- Qualifications: Experience in data analytics and strong leadership skills.
The predicted salary is between 67500 - 82500 £ per year.
Grant Thornton in Belfast is seeking a Data Analyst at Associate Director level to lead data insights for industry-leading clients.
The role combines hands-on analytics with team leadership, delivering powerful visualisations and actionable recommendations.
You will design data models, partner with stakeholders, mentor a team of analysts, and contribute to business development.
The position is hybrid, with client-site attendance as required.
Data Analytics Associate Director - Client Insights Lead 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 Data Analytics Associate Director - Client Insights Lead
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We think you need these skills to ace Data Analytics Associate Director - Client Insights Lead
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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