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The Red Hat Global Sales Go-To-Market Strategy & Transformation team is looking for an experienced Principal 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. 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: - Design and execute data-driven strategies that support Red Hat’s evolving go-to-market strategy.
- 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.
- Monitor and audit business performance and present this information to stakeholders in dashboards, presentations and reports.
- 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.
- 10+ years experience in 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.
The following skills are not required, but are a plus:
- 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.
The salary range for this position is $123,990 - $204,650. Actual offer will be based on your qualifications.
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