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- Tasks: Lead AI-driven cash flow management projects and optimize financial processes.
- Company: Join a major energy company in the Middle East, known for innovation and growth.
- Benefits: Enjoy tax-free income, relocation support, and competitive remuneration.
- Why this job: Be at the forefront of AI technology in finance while making a real impact.
- Qualifications: Experience in predictive cash flow forecasting and machine learning is essential.
- Other info: This is an 18-month role with immediate start in Abu Dhabi.
The predicted salary is between 43200 - 72000 £ per year.
Lead Business Analyst (AI – Cash Flow Management) 18-months – Abu Dhabi (relocation) – Immediate Start GCS have partnered with one of the major energy companies in the Middle East who are in search of a technical BA who has experience with AI-powered Cash Flow Management within Oil & Gas. They are offering an unmatched remuneration as well as significant support for accommodation, as well as an entirely tax-free income of course! Knowledge/Experience of the following is desire: Predictive Cash flow Forecasting Utilising machine learning to predict future cash flow needs. AI model monitors operational cash outflows. Supplier and Customer payment optimisation Analysing historical payment data to renegotiate payment terms. Optimise cash flow cycles to mitigate disruptions. Predictive maintenance cost Monitor asset health through real time data. Automate invoice processing and reconciliationTo find out more, please apply now or drop an email with a copy of your CV to GCS is acting as an Employment Business in relation to this vacancy
Lead Business Analyst (AI - Cash Flow Management) - 18months employer: GCS Ltd
Contact Detail:
GCS Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Business Analyst (AI - Cash Flow Management) - 18months
✨Tip Number 1
Make sure to highlight your experience with AI-powered Cash Flow Management in your conversations. Discuss specific projects where you've utilized machine learning for predictive cash flow forecasting, as this is a key requirement for the role.
✨Tip Number 2
Familiarize yourself with the latest trends in the Oil & Gas industry, especially regarding cash flow optimization. Being able to discuss current challenges and solutions in this sector will demonstrate your expertise and interest.
✨Tip Number 3
Prepare to discuss how you have previously analyzed historical payment data to renegotiate payment terms. Sharing concrete examples will show your ability to optimize cash flow cycles effectively.
✨Tip Number 4
Network with professionals in the energy sector, particularly those involved in financial analytics. Engaging with industry peers can provide insights and potentially lead to referrals that could strengthen your application.
We think you need these skills to ace Lead Business Analyst (AI - Cash Flow Management) - 18months
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and requirements of the Lead Business Analyst position, especially focusing on AI-powered Cash Flow Management in the Oil & Gas sector.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with predictive cash flow forecasting, machine learning applications, and any relevant projects that showcase your skills in optimizing cash flow cycles.
Tailor Your Application: Customize your application materials to reflect the specific skills and experiences mentioned in the job description. Use keywords related to AI, cash flow management, and data analysis to make your application stand out.
Follow Up: After submitting your application through our website, consider sending a follow-up email to express your enthusiasm for the role and to inquire about the next steps in the hiring process.
How to prepare for a job interview at GCS Ltd
✨Showcase Your Technical Expertise
Make sure to highlight your experience with AI-powered Cash Flow Management and predictive cash flow forecasting. Be prepared to discuss specific projects where you utilized machine learning to optimize cash flow cycles.
✨Demonstrate Analytical Skills
Prepare examples of how you've analyzed historical payment data to renegotiate payment terms. Discuss any strategies you've implemented to optimize supplier and customer payments.
✨Discuss Predictive Maintenance
Be ready to talk about your experience with monitoring asset health through real-time data. Share insights on how predictive maintenance can impact cash flow management in the oil and gas sector.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of situations where you had to automate invoice processing or reconcile accounts, and be ready to explain your approach and the outcomes.
