Senior System and Reporting Analyst

at Nvidia

USD 144,000-230,000 per year

SENIOR

✅ On-site

Tech Stack
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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.

AI BI Data Engineering Data Modeling @ 7 Data Pipelines Data Science @ 6 Databricks @ 6 ELT @ 4 ETL @ 4 Fivetran @ 4 Informatica @ 4 Jira @ 4 Machine Learning @ 6 Power BI Python @ 6 R @ 6 Reporting @ 7 SQL @ 7 Security Snowflake @ 6 Tableau dbt @ 4

Details

NVIDIA is seeking a highly skilled Senior System and Reporting Analyst with end-to-end analytics capabilities spanning data engineering fundamentals, semantic layer design, and dashboard development in Tableau and Power BI. The role requires strong Finance domain knowledge, experience improving reporting and business processes, and hands-on expertise building governed analytical data models and integrating systems.

Responsibilities

Design, build, and maintain business intelligence 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, including lease administration, space planning, and physical security or 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, including data exploration, feature preparation, and model evaluation.

Requirements

Bachelor’s degree or equivalent experience in Information Systems, Analytics, Computer Science, Finance, Accounting, or a related field.
At least 8 years of experience designing, building, and supporting end-to-end business intelligence 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.
Solid understanding of historical, snapshot, and incremental data processing patterns.
Strong SQL skills.
Proficiency in data modeling concepts, including star schema, dimensional modeling, and semantic design.
Proven ability to identify inefficiencies and lead process improvement efforts.
Ability to lead complex projects, influence partners, and communicate effectively with technical and executive audiences.

Preferred Qualifications

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.

Benefits

Base salary range of $144,000–$230,000 USD per year, determined by location, experience, and pay for similar positions.
Eligibility for equity and benefits.
NVIDIA offers a comprehensive benefits package.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until October 29, 2026. NVIDIA uses AI tools in its recruiting processes.