Data Analyst, Finance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinanceIndustries

Requirements

Bachelor’s degree in Finance, Business, Information Systems, or related field (or equivalent experience)
5+ years of experience in BI development or financial analytics with strong proficiency in Power BI and/or Tableau
Hands-on experience with SAP data (S/4HANA, ECC, BW), SQL, and data modeling
Demonstrable ability to translate business needs into scalable reporting solutions and collaborate across technical and business teams
Strong attention to detail, communication skills, and commitment to data quality
Ways to stand out
Experience with SAP data extraction tools (e.g., CDS Views, BEx, ODP) and modern cloud platforms (Databricks, Snowflake, Synapse)
Proficiency in financial important metrics (general ledger, cost centers, working capital) and experience with reporting automation or expediting financial close
Exposure to semantic layer development, governed datasets, Python, or AI/ML tools

Responsibilities

Collaborate within Finance and cross-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document business process workflows—including manual steps and pain points—and develop clear resolution roadmaps
Design and maintain Power BI/Tableau dashboards, curated datasets, and semantic layers to support planning, variance analysis, spend tracking, and capital/investment reporting
Partner with IT and data engineers to extract, model, and prepare data from SAP (S/4HANA, ECC, BW, Datasphere, BDC) and other systems (e.g., Workday, Coupa) to ensure reliable data foundations
Ensure reporting accuracy and performance through validation, documentation of critical metrics and logic, and enablement of self-service tools
Support enhancements, change control, and improve SAP data accessibility within modern platforms (e.g., Databricks, Snowflake)

Skills

Power BI

Tableau

SAP S/4HANA

SAP ECC

SAP BW

Datasphere

BDC

Workday

Data Modeling

Dashboard Design

Variance Analysis

Spend Tracking

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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