Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 4
SQL @ 7
R @ 4
dbt @ 4
ETL @ 4
Machine Learning @ 4
Data Science @ 4
Data Engineering @ 4
ELT @ 4
Jira @ 4
BI @ 4
Informatica @ 4
Databricks @ 4
Reporting @ 4
Fivetran @ 4
Snowflake @ 4
AI @ 4
Data Modeling @ 7
Data Pipelines @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will be immersed in a diverse, supportive environment and work on analytics, integrations, and reporting that support finance and advanced analytics projects.
Responsibilities
- 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, 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 resolve integration failures and data discrepancies.
- Partner closely with finance to understand business processes, reporting needs, and strategic priorities.
- Support data science and advanced analytics projects (data exploration, feature preparation, model evaluation).
Requirements
- 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 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
- Experience with ETL/ELT tools (examples listed: 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).
Compensation & Additional Information
- Base salary range: 144,000 USD - 230,000 USD (determined by location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (links provided in original posting).
- Applications accepted at least until March 28, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.