Nvidia Senior Data Systems Analyst 

United States, California 

765772761

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