ABOUT UNILEVER

With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.

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At Unilever, your career will be a unique journey, grounded in our, collaborative, and flexible working environment. Our organizational ambition centres around creating workplaces that foster equity, diversity, inclusion and belonging across all aspects of our business. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.

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JOB PURPOSE

At Unilever, you have the unique opportunity to bring your purpose to life through your work, contributing to a better business and a better world. If you are passionate about delighting customers and consumers, if you thrive on using your creativity to craft innovative supply chain solutions, and if you consider yourself a data enthusiast, then this role is tailor-made for you! Join us and be part of a team that values your passion, creativity, and data-driven mindset. Together, we can make a meaningful impact.

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WHAT WILL YOUR MAIN RESPONSIBILITIES BE

• Foster the relationship with the customer.  Build trust in order to develop a strong understanding of the assigned customers’ needs, behaviours and expectations to provide relevant quantitative and qualitative insights to the business
• Demonstrate exceptional operational skills.  Provide oversight to the Order to Cash process for your customers, delivering core KPIs of availability, on time, cost per tonnne.  Manage day to day Customer Pick Up (CPU) performance and adherence to aligned policies.  Assist in analytics for rate negotiations. Support period end reporting and activities to deliver growth targets.
• Ruthless pursuit of Efficiency (call out Cost to Serve).  Spearhead customer-focused projects aimed at enhancing efficiencies.  By using our Cost to Serve tool and other data inputs, evaluate opportunities in Order Patterns and Profiles, Logistics and Reverse Logistics, and supply chain claims.  
• Embrace a data-driven mindset.  Actively engage with technology and data to provide critical customer insights, generating win-win scenarios with focus on customer inventory management, innovation and transition execution, and forecast accuracy. Focus on automation solutions to efficiently manage large data sets.
• Be a collaborator:  Work closely with CPFR (Collaborative Planning, Forecasting, and Replenishment), Planning, Logistics,  Customer Business Development and other internal stakeholders to identify gaps in order execution, critical stock availability, SKU transitions, and promotional & seasonal event executions.  

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WHAT YOU WILL NEED TO SUCCEED

Experiences & Qualifications

• Bachelor’s Degree in Business Administration, Engineering, or related fields
• Experience in Consumer Packaged Goods Customer Service, Logistics, or Supply Chain
• Evidence of experience in developing and managing a collaborative agenda (CPFR) and experience in the Order to Cash process preferred.    
• Experience in working with retail replenishment systems (GRS, JDA, SAP)
• Demonstrated strong business acumen pertaining to Supply Chain and Sales

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Skills

• Superb communication skills, both oral and written, to manage multiple internal and external stakeholders.
• Strong interpersonal skills, evidenced by a positive solution oriented attitude and demonstrated ability to work collaboratively with customers and cross functional teams.
• Advanced data literacy and automation ability.  Proficient in data visualization tools (such as Tableau or Power BI), advanced Excel skills, experience with SQL for database querying, familiarity with data analytics platforms (such as SAS or R), expertise in Microsoft Power Suite tools (including Power Automate, Power Apps, and Power Virtual Agents), and knowledge of cloud computing platforms (such as Azure or AWS).
• Ability to generate analytics and derive insights from large data sets, combined with operational knowledge and a strong business acumen, to easily identify inefficiencies and make recommendations for winning solutions.

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