Full-Time

Technical Marketing Manager

Data Analytics Specialist

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$116k - $184kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Data Analysis
Data & Analytics
Required Skills
Market Research
Python
Grafana
Tableau
Perl
Data Analysis
Excel/Numbers/Sheets

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor's degree in Marketing, Computer Science, Statistics, or a related field or equivalent experience
  • 5+ years of experience in technical marketing or a similar role with a strong focus on data analysis
  • Expert-level proficiency in Microsoft Excel, including advanced functions, pivot tables, and data visualization techniques
  • Working knowledge of at least one programming language (e.g., Python, Perl, or shell scripting) for data manipulation
  • Experience with data visualization tools beyond Excel (e.g., Tableau, Grafana)
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner
  • Strong desire to learn, motivated to tackle complex problems, and the ability to make sophisticated trade-offs
Responsibilities
  • Conduct in-depth market research and competitive analysis using advanced data analytics techniques
  • Develop and implement data-driven marketing strategies to support product launches and ongoing campaigns
  • Build comprehensive figures, reports, and visually appealing presentations to communicate complex data insights to collaborators
  • Collaborate with cross-functional teams to ingest and present data on relevant topics
  • Work with our sales organization to develop effective sales collateral and tools
Desired Qualifications
  • Strong background in high performance computing with specialization in engineering, life sciences, physics, optimization, material science, or related fields
  • Knowledge of statistical analysis and machine learning techniques
  • Knowledge of accelerated computing components, properties, strengths, and weaknesses

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match