Senior Data Analyst, Go-To-Market Strategy & Incentives

About the position 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. 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. 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.

Responsibilities

• 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.

Requirements

• 5+ 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.

Benefits

• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

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