Heading
Houston, TX
Internship
Hybrid
$15/hr - $62/hr
Intern
SAP is a global leader in enterprise application software, helping the world run better. They are seeking an Analytics Engineer intern to support the Customer Success Management team by building data models, driving insights through dashboards, and collaborating with business leaders to enhance data-driven strategies.
Apply NowResponsibilities
- Design, automate, and maintain data models to support renewal forecast reporting and churn analysis.
- Drive insights through interactive dashboards and reports that inform strategy across multiple regions and business lines.
- Build scalable data pipelines using Python, SQL, and Power Query.
- Ensure clean, reliable data flows into reporting tools like SAP Analytics Cloud (SAC) and Power BI.
- Collaborate closely with Customer Success Managers and leaders across the Americas to translate business needs into actionable analytics solutions.
- Support quarterly business reviews (QBRs), bi-weekly renewal forecast, churn mitigation planning, and regional performance reporting.
- Leverage SAP Datasphere, SAP BW, SAP DWC, and other enterprise tools to enable data governance, access management, and automation.
- Perform ETL tasks and validate data for consistency and quality.
- Contribute to machine learning initiatives aimed at predicting renewal risks and identifying revenue opportunities.
- Document and share best practices for analytics delivery, dashboard development, and scalable data operations.
Qualification
Required
- Bachelor’s degree in Analytics, Computer Science, Data Science, Business Analytics, Information Systems, or a related field.
- Solid experience with Python, SQL, and Excel (VBA, pivot tables, formulas).
- Hands-on knowledge of Power BI, SAP Analytics Cloud (SAC), Power Query.
- Exposure to SAP Datasphere, SAP BW, SAP DWC, or similar data warehouse platforms.
- Exposure to SAP Business Data Cloud, Microsoft Fabric, Snowflake Data Cloud or similar unified data platforms.
- Strong critical thinking and analytical skills.
- Effective communicator, comfortable presenting to non-technical stakeholders.
- Self-motivated with strong attention to detail and data accuracy.
- Collaborative and adaptable in a fast-changing environment.
Preferred
- Master’s degree preferred.
- Familiarity with big data tools such as Databricks is a plus.
Benefits
- SAP North America Benefits