Supply Chain Data Analyst

Company Description

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organization”) serves four out of five Fortune Global 500® companies. Learn how Deloitte’s approximately 312,000 people make an impact that matters at www.deloitte.com.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in provision of professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

Job Description

We are looking for a highly analytical and business-savvy Mid-Level Data Analyst with experience in Supply Chain to join the client facing AWS Cloud Data and AI Team. The ideal candidate is an experienced data analyst that has a proven track record of delivering value in the supply chain business function, with a proven background of technical execution. The candidate also needs a strong understanding of business process experience in managing teams and clients.

The role requires working closely with client stakeholders across different levels and managing teams to analyse data, build insights, and support decision-making in areas such as Sourcing, Procure to Pay, Contract Management, Accounts Payable, and Warehouse Management. Additionally, the candidate should be able to bridge the gap between business users, their requirements and the technical design and development teams to ensure alignment and successful implementation of data solutions that add value to our clients. 

Key Responsibilities 

• Understand client business processes, interpret sector trends, and apply industry best practices. 

• Analyse, interpret, and present data-driven insights to support Supply Chain (including Accounts         Payable) 

• Build and manage relationships with clients. 

• Support data quality and completeness assessments based on core data principles. 

• Execute ETL processes into relevant platforms. 

• Build and optimize data models to enhance analytical capabilities. 

• Develop interactive dashboards and visualizations using Power BI, or Qlik, or QuickSight. 

• Apply process mapping techniques to define and capture business processes, identifying gaps and areas for improvement. 

• Engage with stakeholders to gather and translate business requirements into actionable data solutions. 

• Collaborate with cross-functional teams to ensure alignment between business needs and data solutions. 

• Conduct complex business problem-solving using data-driven approaches. 

• Understanding and leveraging systems like SAP, COUPA, ARIBA for data analysis and business process improvements is required. 

• Participate in discussions around business processes and improvements with key stakeholders. 

• Act as a bridge between business users/requirements and the technical design and development teams to ensure effective data-driven solutions. 

Key Skills & Competencies 

Business & Analytical Skills 

• Strong understanding of Supply Chain and Finance processes. 

• Ability to manage a team of 5-10 people effectively. 

• Expertise in Procure to Pay, Warehouse Management, Sourcing, Contract Management, Accounts Payable, and Accounts Receivable. 

• Ability to perform data storytelling and visualization for effective decision-making. 

• Experience with process mapping to identify inefficiencies and improvement opportunities. 

• Ability to conduct stakeholder management, engaging stakeholders at different levels to understand and translate requirements into data solutions. 

Technical Skills 

Must-Have: 

• Cloud experience in AWS or Azure (if not AWS, candidate will be required to certify in AWS in short period of time). 

• Strong proficiency in SQL for data extraction and analysis. 

• Experience with Power BI, or Qlik, or Amazon QuickSight. 

• Proven experience with data analysis, visualization, and business process optimization.
• Proven Hands-on experience with data modelling
• Strong understanding of business accounting principles. 

• Working knowledge of SAP for business data analysis. 

Nice to Have: 

• Exposure to APIs and integrating data sources. 

• Knowledge of Python (PySpark) for data processing. 

• Experience with dbt (Data Build Tool) for transformation workflows. 

• Working knowledge of COUPA, ARIBA for business data analysis. 

• Familiarity with Process Mining Tools such as Mehrwerk, Celonis, or Signavio. 

Qualifications

• Bachelor’s degree in engineering, Business Analytics, BCom Logistics with information management or related from a reputable institution. 

• Minimum of 5+ years of experience in a data analytics or business intelligence role. 

• Effective communication skills, both written and verbal. 

• Excellent interpersonal and relationship-building skills. 

• Relevant certifications such as Certified Data Analyst, SQL Certification, AWS Certifications, or similar are an added advantage. 

Additional Information

• Strong written & verbal communication skills.
• Organizational, analytical and numeracy skills.
•  High level of personal integrity.
• Ability to multi-task.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.  Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

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