Data Analyst

Red Hat’s Global Sales Go-To-Market Strategy, Incentives & Data Analytics team is looking for a Data Analyst to support efforts in improving the quality, accuracy, and trustworthiness of sales and renewals data. In this role, you will help implement data validation checks, monitor data pipelines, and support dashboard development to ensure consistent, timely, and audit-ready datasets for use in sales planning, forecasting, and performance tracking.

This is a great opportunity for an early-career professional with a strong foundation in data analysis and a passion for problem-solving and process improvement. You’ll work closely with teams across Sales, Operations, and Finance to identify issues, support data governance processes, and help drive insights that influence key business decisions.

What Will You Do

• Support daily data validation processes to ensure high accuracy and completeness of renewals and sales data
• Assist in maintaining submission calendars, running daily health checks, and contributing to monthly and quarterly lock processes.
• Identify and escalate data quality issues, inconsistencies, or missing information through regular monitoring and reporting
• Collaborate with cross-functional teams to help define and apply business rules and standard definitions for renewals data
• Contribute to dashboards and reporting used by leadership to monitor renewal performance, pipeline accuracy, and quota alignment.
• Assist in the digitization and automation of manual workflows to improve process efficiency and data consistency
• Participate in initiatives to improve data visibility, including stakeholder communication and documentation of logic and metrics
• Learn and apply tools and methods to support proactive governance and compliance in sales data reporting
  
  

What Will You Bring

• 3–5 years of experience in data analysis, business intelligence, or sales operations, preferably in a technology sales environment
• Strong foundation in SQL and Excel/Google Sheets; experience with tools like Python or R is a plus
• Familiarity with data visualization platforms (e.g., Tableau, Looker, Power BI)
• Solid understanding of data quality concepts, validation techniques, and structured reporting
• Ability to work independently and collaboratively, with strong attention to detail and communication skills
• Bachelor’s degree in a relevant field (e.g., Data Science, Analytics, Economics, Business, or similar)
  
  

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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