Senior Revenue Data Analyst (Finance)

We are seeking an exceptional Senior Revenue Data Analyst to join our Sales FP&A team. As an integral member of the FP&A team, our organization's overarching responsibilities are to deliver the highest caliber of relevant financial and business analysis that is both insightful and measurable, enabling effective decisions-making at all levels of the company and improving our financial performance.

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 Company's timelines. It is a visible role within Finance for an energetic individual who thrives on inspiring change and impacting the business in a dynamic, fast-paced environment.

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.
  

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, ambitious and enjoy having fun, apply today!

The base salary range is 120,000 USD - 195,500 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. 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.