Principal Data Analyst
Remote CA ON, Canada
Red Hat
Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.The Red Hat Global Sales Go-To-Market Strategy & Incentives team is looking for an experienced Principal Incentives Data Analyst to join our team. In this role you will develop cross-functional relationships and use rigorous quantitative methods and data to drive near and longer term business impact. You will use data to drive growth, enable high quality and more precise business decisions. This is to enable high quality data to manage the Sales Cadence, and end-to-end Quota Process Transformation. The successful candidate will be a self-starter, comfortable with ambiguity, have strong attention to detail and an ability to thrive in a fast paced, dynamic environment. This is a highly visible role with the opportunity to make a big impact on the business.
What you will do:
Transform & improve data quality for all dimensions of Sales management & planning.
Create data architecture aligned to the business requirements for Sales Management
Curate data fit for purpose for end-to-end Incentives process, including target planning, quotas, development & territory structures
Transform the end-to-end process for Quotas from client segmentation to target setting models for Quotas, Territory & Quota deployment at scale
Analyze customer data to understand buying patterns, preferences, and trends to inform targeted sales, account staffing and account management strategies.
Analyze funnel performance, user engagement, conversion, and other KPIs to identify opportunities to expand Red Hat’s sales footprint and help define our growth strategy.
Develop and maintain dashboards and reports that provide insights into customer behaviors, business metrics, business opportunities, etc.
Assess new sales opportunities, work with Sales and Product Engineering leaders to estimate expected impact and ROI of new and/or modified product and account penetration approaches.
Participate in cross-functional teams and build relationships with key internal business partners including P&GE, Finance, Marketing, Sales, etc.
Keep abreast of the latest trends and technologies in data analytics and Red Hat strategies, integrating new tools and methodologies to enhance analytical capabilities.
What you will bring:
10+ years experience in incentives, data analysis or business intelligence with a preference for experience in a technology sales environment.
Expertise in analytics tools and programming languages (e.g., SQL, Python, R) and familiarity with data visualization tools.
Bachelor's degree in Data Science, Statistics, Economics or a related field; Masters preferred.
Strong understanding of software technology consumer behaviors and sales strategies.
Ability to thrive in a fast-paced, evolving environment.
Flexibility and ability to manage in and through ambiguity.
Excellent analytical, problem-solving, and project management skills with superb attention to detail and accuracy.
Demonstrated ability to work collaboratively across teams and communicate complex data insights to non-technical stakeholders.
Proficiency in Google Sheets and demonstrated proficiency in developing dashboards and working within data visualization tools.
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.
Diversity, Equity & 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 diverse 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 of diversity 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.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Business Intelligence Data analysis Data Analytics Data quality Data visualization Economics Engineering Finance KPIs Kubernetes Linux Open Source Python R SQL Statistics
Perks/benefits: Transparency
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