Supply Chain Data Analyst at Deloitte

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.