Job Description

Key Responsibilities:

• Apply Agile project methodology to solve complex business problems by analyzing and interpreting key business and operational data to validate or challenge hypotheses.
• Collaborate in a team to perform hypothesis testing, conduct interviews, analyze data, and formulate outcomes with actionable recommendations.
• Define, quantify, and solve business problems across various functions including HR, Logistics, Supply Chain, Finance, Operations, and Technology.
• Lead or participate in teams to deliver results through data analytics, using tools such as Power BI, SQL, Excel, and Celonis.
• Analyze and interpret business processes and operational data to verify or refute hypotheses.
• Work closely with the team to ensure effective data analysis is based on clean, reliable, and dependable data.
• Deliver impactful presentations to senior executives, providing insights and recommendations for corrective or preventive actions both regionally and globally.
• Contribute to the design and development of an Enterprise Risk Management strategy and platform using innovative tools (e.g., PowerApps, Python, R).
• Explore, recommend, and lead the deployment of Robotic Process Automation (RPA) to simplify and automate periodic reviews.
• Champion the use of digital technologies within the team and with external stakeholders to improve sustainable risk management practices.
• Actively support the development of the team's analytics capabilities to ensure a synchronized team strength.
• Develop a strong contact network in a high-pressure environment and step outside your comfort zone to drive results.
• Tackle new challenges and learn new processes on a quarterly basis.
• Continuously monitor the operational risk environment, using data analytics skills and business acumen to proactively manage emerging risks.
• Extract and analyze data from various platforms, and create reports using Power BI for testing purposes.

Qualifications and Skills:

• Strong background in mathematics and data analytics.
• Proficiency in data programming and tools such as Power BI, SQL, Excel, and Celonis.
• Experience in Agile project management methodology.
• Strong business acumen and problem-solving skills.
• Ability to communicate complex data insights effectively to senior stakeholders.
• Familiarity with risk management strategies and tools (e.g., PowerApps, Python, R) is a plus.
• Ability to work independently and as part of a team in a high-pressure environment.

If you're a proactive, analytical thinker with a passion for using data to solve business challenges, we encourage you to apply. Join us in making a real difference and driving continuous improvement across the business!
To apply, please send your CV to:Note: Should you not hear from us within two weeks, please consider your application unsuccessful.

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