Job Information
Nvidia Senior Data Systems Analyst in Santa Clara, California
The NVIDIA Operations organization is seeking an experienced technology professional for the position of Data Systems Analyst to support initiatives in the Operations Data Analytics organization. As a Data Systems Analyst in our team, you will be an integral part of the team in Operations team that will interface between IT, operations platform, and business to guide design, development and delivery of analytics solutions
What you’ll be doing:
Drive business insights that help drive and grow our business. Identify business gaps in analytics solutions and recommend improvement actions
Identify challenges and opportunities in the business processes and build technology strategy and roadmaps to address them
Collaborate with teams to bridge business processes with technology by developing systems that help day to day analytics
Gather user feedback to improve business systems and develop new business solutions and aim for standardization with multiple data sources
Use programming skills to automate and streamline various data processes and Implement monitors and alerts improving data quality.
Aggregate multiple data sets to provide insights to the users and management team.
Analyze information to find patterns and solutions in factory, field, lab data.
Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects from requirements, definition, project planning, and testing.
Develop and implement data analytics and data collection systems to improve data analysis. Interpret data, analyze results, and support ongoing reports
What we need to see:
Bachelor’s or Master’s degree in computer science or information systems, or equivalent experience with programming knowledge (i.e Python, Java, etc)
8+ years of experience in data analytics, business systems , chip, boards, and systems industry knowledge, and operations execution.
Strong experience with systems, managing VMs, and tools and Adept at queries, reporting and summarizing findings. Experienced in SQL
Technical expertise regarding data models, database design development, data analytics and segmentation techniques
Experienced with cloud environments (AWS, Azure, etc)
Ability to communicate optimally with business users and translate business needs into technology solutions. Ability to connect with all team members successfully and effectively.
High energy with a positive problem-solving attitude, and strong multi-tasking and interpersonal skills.
Independent and motivated individual who requires little supervision and demonstrates good judgment and decision-making skills
Strong analytical skills, logical problem solver, results driven with the ability to collect, organize, and disseminate significant amounts of information accurately and at a detailed level.
Knowledge in operational processes in chips, boards, systems, and servers with a view of the data landscape
Ways to stand out from the crowd:
Strong ability to drive continuous improvement of systems and processes.
Ability to communicate at all levels of the organization and turn complex ideas into simple to understand solutions
Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity.
A proven ability to work in a fast-paced environment where strong organizational skills are essential.
Data science / ML experience
The base salary range is 128,000 USD - 207,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
