Amway is looking to solve the problem of ensuring Oracle BI and Finance Data & Analytics (D&A) strategy is deployed and integrated with enterprise-wide Finance solutions for enabling the overall Amway business strategy.
Requirements
- High proficiency in Excel.
- Basic understanding of database concepts and coding language such as SQL, PLSQL, and Python
- Experience with designing and building data warehouses using queries (e.g: BigQuery) and Google native tools (e.g: Google Cloud Platform) for data ingestion, curation, reporting and GenAI.
- Knowledge of Agile methodologies
- Knowledge of Lean Six Sigma process improvement
- Strong analytical, problem solving, design and technology skills
- Curiosity to learn about how technology supports various backend business processes (e.g: finance, accounting, order management)
Responsibilities
- Work with business teams to identify and solution regional and local requirements within the context of the standard global business model.
- Analyze data contained in the database and identify data integrity issues with existing and proposed systems and implement solutions.
- Design meaningful reports/dashboards using a business intelligence visualization tool.
- Help maintain data mapping documentation and system architecture flowchart diagrams.
- Learn how to write business requirements and convert the requirements into user stories.
- Design and build data warehouses using queries (e.g: BigQuery) and Google native tools (e.g: Google Cloud Platform) for data ingestion, curation, reporting and GenAI.
- Implement solutions to improve efficiencies using AI and monitoring/automation
Other
- Desired Major: Information Technology, Computer Science, Management Information Systems, Business Information Systems, Data Analytics, or related field
- Desired Class Year: (Rising Junior during 2026 summer internship) Junior (Rising Senior during 2026 summer internship), or Senior+ (already a senior but receiving extra coursework).
- This role is “Not” eligible for sponsorship.
- Strong desire to learn
- Outside the box thinking on how to leverage AI and monitoring/automation to improve efficiencies
