The Role
The Business Intelligence Data Analyst is a pivotal role within the Global Purchasing & Supply Chain - Strategy & Innovation team, operating in a hybrid work environment. This position is tailored for senior-level professionals who possess practical experience developing and implementing solutions in business intelligence, data engineering, and AI/ML. You will be responsible to help shape the future of business analytics within the organization, ensuring that data-driven strategies support key business objectives and drive innovation across multiple domains.
What You’ll Do
- Architect, design, and lead enterprise-scale data engineering and BI solutions across diverse Supply chain business domains (Purchasing, Production Planning and Scheduling, Logistics, Supplier Quality).
- Build and optimize robust AI/ML solutions to promote workflow automation and organizational efficiency.
- Champion the adoption of AI/ML-ready data infrastructure and advanced analytics methodologies.
- Develop and maintain logical and physical data models (star, snowflake, medallion architecture) for analytics and reporting.
- Oversee the development of BI dashboards and reports using leading platforms (Power BI, Cognos, Tableau, Qlik, Looker).
- Establish and enforce best practices for data governance, security, master data management, and compliance.
- Collaborate with cross-functional teams, IT, and business stakeholders to align data architecture with strategic goals.
- Mentor and guide data engineers, BI developers, and analysts; conduct design reviews and promote technical excellence.
Your Skills & Abilities (Required Qualifications)
- Bachelor’s Degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience in data engineering, analytics infrastructure, and BI reporting in enterprise environments.
- Advanced proficiency in SQL, Python, Spark, and data modeling tools.
- Strong background in BI development (Power BI, Cognos, Tableau, Qlik, Looker) and front-end reporting.
- Proven experience with AI/ML integration and deployment in enterprise analytics environments.
- Demonstrated success leading modernization/migration projects and implementing scalable, compliant data solutions.
- Excellent communication skills for translating technical concepts to business stakeholders and mentoring team members.
- Hands-on experience with cloud data platforms (Azure, AWS, GCP), Lakehouse technologies (Databricks, Snowflake), and hybrid architectures.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Master’s Degree in Computer Science, Engineering, Information Systems, or related field.
- Experience in manufacturing, supply chain, logistics, or automotive domains.
- Familiarity with data governance tools and advanced analytics.
- Experience designing and implementing medallion architecture.
