Nvidia Senior Revenue Data Analyst 

United States, California 

555205959

time type

Full time

posted on

Posted 4 Days Ago

job requisition id

Finance Analytics an integral member of the FP&A team, our organization’s overarching responsibilities

This is a critical position within the Finance organization, requiring knowledge of product, advanced tools, analytical skills and analytical capabilities, great attention to detail, and ability to execute to

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 across all business lines.

• 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.

• Analyze large data sets across multiple platforms and systems with the ability to synthesize the data to draw conclusions, provide business insights and tell a story through data.

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

• Maintain data models 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:

• 5+ 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.

• Product first thinking and 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 in Power BI semantic modeling and Tabular Editor.

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