Posted in Other about 2 hours ago.
Collaborate with various teams to identify key business opportunities and challenges, and develop data-driven solutions related to the Sales Compensation Plans
Identify and measure the effectiveness of our Sales Compensation Plans and communicate the outcomes in a timely manner to our core stakeholders
Leverage large and sophisticated datasets to derive actionable insights that inform strategic decisions for the Sales Compensation team and core stakeholders
Build and maintain data models, reporting systems, data automation systems, and dashboards for key business metrics
Communicate findings clearly and optimally to cross-functional stakeholders and leadership teams. Continuously learn new tools and systems to develop data infrastructure and ensure data integrity
Partner with the Sales Operations team in order to support the quota setting process and ensure timely and proper data upload to the Xactly system
Prepare key monthly commission reconciliation reports including reporting of monthly commission and sales attainment metrics
Proactively identify, develop, and implement process improvements, documenting desktop procedures to achieve efficiencies and scalability
Able to function as a utility player in a hyper growth environment
Minimum of 2-4+ years of progressive experience managing commissions data for a high growth sales team
Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, Data Analytics, or a related field
Proven experience in Revenue/Sales Operations, Data Analytics, or Finance
High-tech, start-up, rapid growth and/or publicly traded company experience.
Experience with Sales Compensation Administration, Governance and design is a plus
Experience with sophisticated statistical analysis, predictive modeling, machine learning techniques and data and visualization tools required (e.g., Tableau, CRM Analytics, Power BI, SQL, Python, etc.)
Salesforce.com CRM and Xactly experience required
Familiarity with statistical tools and methodologies, including but not limited to regression analysis, hypothesis testing, and data sampling techniques
Proven ability to lead data-driven projects and communicate the results of sophisticated analyses in a clear and effective manner
Exceptional communication, stakeholder management, negotiation, and interpersonal skills
You must love our business. CrowdStrike is a leader in cybersecurity. We don’t have a mission statement. We are on a mission to protect our customers from breaches. You must be genuinely committed to our mission and eager to learn the details of our business.
CrowdStrike is proud to be an equal opportunity and affirmative action employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
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