Requirements

Expected technologies

SQL

Python

Our requirements

• Minimum of 7 years’ experience (SQL development, data analysis, data engineering, data architecture, data management and / or modelling) delivering data / analytics solutions with demonstrable business outcomes
• Ability to compose requirements, data workflows, process workflows and design into clear documentation to enable rapid development. Ability to analyse existing products, databases and systems to provide solution recommendations
• Demonstrated experience in handling complex datasets and databases
• Experience in implementing ETL processes including extracting, merging and incremental data loads
• Proficient in SQL, ETL framework, Alteryx or similar technology, Python, GCP
• Self-starter who can operate independently and proactively or as part of a team with high energy levels, flexibility, enthusiasm and willingness to learn, resilient under pressure
• Excellent communication skills and comfortable working with senior management; ability to articulate data concepts, problem statements and solutions to non-technical stakeholders
• Knowledge of Python and AI / ML methodologies will also serve as an advantage

Your responsibilities

• Requirements Gathering and Translation: Work with business stakeholders to understand their analytical needs and translate them into technical specifications for data assets and dashboards
• Technical Expertise: Harness a deep understanding of SQL development and data architecture to support building data assets that facilitate effective analysis and reporting
• Data Exploration and Insight Generation: Explore and analyse data to identify trends, patterns, and anomalies, and to translate these findings into actionable insights relevant to the Procurement function
• Stakeholder Management and Communication: Building and maintaining strong relationships with Business stakeholders, effectively communicating technical concepts to non-technical audiences, and managing expectations
• Risk and Issue Management: Proactively identifying and mitigating potential risks and issues that could impact project delivery or team performance
• Project Delivery and End-to-End Ownership: managing data analytics projects from initiation to completion, ensuring timely delivery, adherence to requirements, and successful outcomes
• Developing Subject Matter Expertise: Act as a focal point of expertise around key systems, processes, data and reporting solutions in Global Procurement