At a Glance
- Tasks: Lead finance data analytics and optimise systems like SAP ERP and Power BI.
- Company: Join Meredith Brown Associates Ltd, a key player in finance analytics.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Exciting opportunity for growth in the investment sector.
- Why this job: Make a real impact by bridging data execution with strategic insights.
- Qualifications: Experience in finance analytics, strong Excel and Power BI skills required.
The predicted salary is between 60000 - 80000 £ per year.
Meredith Brown Associates Ltd is seeking a Finance Data & Analytics Manager in London. This critical role bridges data execution with strategic insight, optimizing a range of finance systems including SAP ERP and Power BI.
The ideal candidate must have substantial experience in finance analytics and reporting, ideally within the investment sector, with strong skills in data transformation and system integration. A robust academic background alongside advanced Excel and Power BI proficiency is required.
Finance Data & Analytics Lead — SAP & Power BI employer: Meredith Brown Associates Ltd
At Meredith Brown Associates Ltd, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional advancement, and a collaborative environment where innovative ideas are encouraged, making us an excellent employer for those seeking a meaningful career in finance data and analytics.
Contact Details:
Meredith Brown Associates Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data & Analytics Lead — SAP & Power BI
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We think you need these skills to ace Finance Data & Analytics Lead — SAP & Power BI
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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