Nvidia Senior Revenue Data Analyst 

United States, California 

132823055

What you’ll be doing:

• Contribute to developing a single source of truth data repository for revenue analytics to be used across the company, driving consistency and accuracy in reporting and decision-making.

• Design and create comprehensive reports and dashboards for end-to-end analytics of company processes, enabling data-driven insights and performance tracking.

• Act as a data translator, guide users to understand and use the single source of truth while building strong partnerships across Sales and Finance departments.

• Design and implement advanced data processing solutions in python to identify and analyze customer and product sales behaviors for comprehensive analytics.

• Complete data engineering tasks to handle disparate data sources, managing manual processes with a focus on continuous improvement contribution to the single source of truth data repository.

• Participate in the development and maintenance of data governance policies and procedures, ensuring data integrity, quality, and compliance with relevant regulations.

• Collaborate with multi-functional teams to find opportunities for process optimization, building consensus, automation, and cost reduction.

What we need to see:

• 8+ years of experience in data modeling, reporting, and analysis, working closely with business partners. Proficiency in Excel, SQL, Python, Tableau or Power BI. Strong data modeling skills in SQL is essential.

• Bachelor's degree or equivalent experience in Business Analytics, Data Science, Information Systems, Computer Science, Engineering, Finance or Economics. MBA or equivalent experience is a plus.

• Demonstrated success in driving data-driven business growth and process improvements in a similar industry or role.

• Experience in presenting findings from data analyses to senior management and other team members.

• Demonstrable ability to design and implement change management plans, driving new processes and analytics that influence business decisions and outcomes.

• Highly motivated self-starter with the ability to work independently in a fast-paced and ambiguous environment, managing multiple priorities and leading change and process improvement.

Ways to stand out from the crowd:

• Experience managing data pipelines and creating data models in data lakehouse platforms such as Databricks and Snowflake.

• Knowledge or experience in Salesforce, SAP SD, SAP FICO, SAP RAR, SAP BW, SAP BPC, SAP IBP, or Anaplan.