Job
Description
Red Hats 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. Youll 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:
35 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
Bachelors degree in a relevant field (e.g., Data Science, Analytics, Economics, Business, or similar)