Senior Data Systems Analyst

NVIDIA•Santa Clara, CA

12d

About The Position

The NVIDIA Operations organization is seeking an experienced technology professional for the position of Data Systems Analyst to support initiatives in the Operations Data and 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 for Service and Quality 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 and Analyze information to find patterns and solutions in factory and field 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

Requirements

Bachelor’s or Master’s degree in computer science or information systems, or equivalent experience with 12+ years of experience in revelant industry.
A strong understanding of SQL, Python, and data visualization tools like Tableau, PowerBI, etc
Significant experience as a catalyst in building and improving enterprise-class systems
Technical expertise regarding data models, database design development, data analytics and segmentation techniques
The role requires a blend of technical, analytical, and communication skills to effectively interpret data and influence strategic decisions.
Experienced with cloud environments (AWS, Azure, etc) and Experience in Databricks, Snowflake, Splunk, 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.
Independent and motivated individual who require 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.
Supply Chain and Operations experience is a must.
Experienced in Service and Quality functions with operational processes knowledge in chips, boards, and systems.

Nice To Haves

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.
Ability to work in a fast-paced environment where strong organizational skills are essential.
Data science / ML experience is a plus with a proven record of delivering analytics solutions

Responsibilities

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 and Analyze information to find patterns and solutions in factory and field 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