NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a highly skilled Senior System and Reporting Analyst with strong end-to-end analytics capabilities—spanning data engineering fundamentals, semantic layer design, and dashboard development in Tableau and Power BI. The ideal candidate will bring strong Finance domain knowledge, experience improving reporting and business processes, and hands-on expertise building semantic layers to develop consistent, well-governed analytical data models as well as integration between systems.
What You’ll Be Doing:
Design, build, and maintain BI solutions across the full analytics lifecycle—from data ingestion to reporting.
Collaborate with data engineering teams to optimize data pipelines, ensure data quality, and improve data availability.
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.
Establish and enforce data governance, validation rules, and transformation logic to ensure data consistency across systems.
Monitor and support interface health, error handling, and reconciliation processes, proactively resolving integration failures and data discrepancies.
Partner closely with finance and to understand business processes, reporting needs, and strategic priorities.
Support data science and advanced analytics projects, including data exploration, feature preparation, and model evaluation.
What We Need to See:
Bachelor’s degree or equivalent experience in Information Systems, Analytics, Computer Science, Finance, Accounting, or a related field.
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).
Proven ability to identify inefficiencies and lead process improvement efforts.
Ability to lead complex projects, influence partners, and communicate effectively at both technical and executive levels.
Ways to Stand Out from the Crowd:
Experience with ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Data Factory), Alteryx and Jira.
Experience building data governance processes, documentation standards, or data quality frameworks.
Exposure to data science tools or methodologies (Python, R, machine learning concepts, Databricks, Snowflake).
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor’s degree or equivalent experience in Information Systems, Analytics, Computer Science, Finance, Accounting, or a related field
- 8+ years of experience designing, building, and supporting end-to-end BI and analytics solutions
- Experience with traditional data warehouse architectures, including centralized data warehouses or data marts
- Understanding of historical, snapshot, and incremental data processing patterns
- Strong SQL skills
- Knowledge of data modeling concepts, including star schema, dimensional modeling, and semantic design
- Ability to identify inefficiencies and lead process improvement efforts
- Ability to lead complex projects, influence partners, and communicate at technical and executive levels
- Experience with ETL/ELT tools such as dbt, Fivetran, Informatica, or Data Factory
- Experience with Alteryx and Jira
- Experience building data governance processes, documentation standards, or data quality frameworks
- Exposure to data science tools or methodologies, including Python, R, machine learning concepts, Databricks, or Snowflake
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
.png){kind=logo}
