Technical Marketing Manager - Data Analytics Specialist

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 looking for a Technical Marketing Manager - Data Analytics Specialist who has strong competence in quantitative analysis and data presentation. The ideal candidate will use their technical expertise and savvy in marketing to drive data-driven decision-making and build compelling marketing assets. If you have a passion for the latest technologies in AI and HPC, we want to hear from you!

What you will be doing:

• 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

What we need to see:

• 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

Ways to stand out from the crowd:

• 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