Senior System and Reporting Analyst

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior System and Reporting Analyst with end-to-end analytics capabilities, focusing on data engineering, semantic layer design, and dashboard development in Tableau and Power BI. Requires strong Finance domain knowledge and experience in system integrations.

What you'd actually do

  1. Design, build, and maintain BI solutions across the full analytics lifecycle—from data ingestion to reporting.
  2. Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
  3. Design, implement, and support end-to-end system integrations between SAP S/4HANA and third-party platforms, e.g., lease administration system, space planning tool, and physical security/badging systems.
  4. Establish and enforce data governance, validation rules, and transformation logic to ensure data consistency across systems.
  5. Monitor and support interface health, error handling, and reconciliation processes, proactively resolving integration failures and data discrepancies.

Skills

Required

  • BI solutions design and development
  • Data ingestion
  • Reporting
  • Data pipelines optimization
  • Data quality assurance
  • System integrations (SAP S/4HANA)
  • Data governance
  • Data validation
  • Data transformation
  • Interface health monitoring
  • Error handling
  • Reconciliation processes
  • Finance domain knowledge
  • SQL
  • Data modeling (star schema, dimensional modeling, semantic design)
  • Process improvement
  • Project leadership
  • Communication skills

Nice to have

  • ETL/ELT tools (dbt, Fivetran, Informatica, Data Factory)
  • Alteryx
  • Jira
  • Data governance processes
  • Documentation standards
  • Data quality frameworks
  • Data science tools (Python, R)
  • Machine learning concepts
  • Databricks
  • Snowflake

What the JD emphasized

  • 8+ years of experience designing, building, and supporting end-to-end BI and analytics solutions, from data ingestion and modeling to reporting and insights delivery.
  • Hands-on experience with traditional data warehouse architectures, including centralized data warehouses and/or data marts, and a solid understanding of historical, snapshot, and incremental data processing patterns.
  • Strong SQL skills and proficiency in data modeling concepts (star schema, dimensional modeling, semantic design).