Sr. Analyst, Sales Strategy & Operations

Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.

Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture, please click here: Kaseya Culture.

Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. We have achieved record levels of success being BOLD, being GRITTY, being ACCOUNTABLE. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth. 

Join our team as a Senior Analyst, Compensation and Analytics, and play a pivotal role in shaping our compensation strategies. You will be responsible for analyzing compensation data, developing relational data models, and interpreting data to design and implement effective compensation programs. A key focus will be tracking and reporting compensation payouts against plan performance, particularly Annual Recurring Revenue (ARR). Your insights will ensure our compensation programs are competitive, equitable, and aligned with business objectives.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Data Analysis and Insights:
• Perform advanced statistical analyses and data mining to uncover trends and anomalies.
• Develop and maintain relational data models for comprehensive compensation analysis.
• Utilize Excel (including Power Query and Power Pivot) and Power BI for data analysis and visualization.
• Generate regular and ad-hoc reports on key compensation metrics and present findings to senior leadership.
• Track and report compensation payouts relative to plan performance and ARR.
• Market Benchmarking:
• Conduct salary surveys and market analyses to benchmark compensation practices.
• Compare internal compensation data against industry standards to ensure competitiveness.
• Provide data-driven recommendations based on market trends.
• Compensation Program Development:
• Support the design and management of compensation and incentive programs using data-driven insights.
• Evaluate and improve existing compensation structures based on analytical findings.
• Develop strategies to align compensation with business goals and performance metrics.
• Policy Development and Compliance:
• Assist in developing and updating compensation policies and procedures.
• Ensure compliance with legal and regulatory requirements.
• Participate in compensation-related audits.
• Communication and Training:
• Create clear communication materials to explain compensation programs and changes.
• Provide training and support to managers on compensation-related topics.
• Act as a point of contact for employee and manager compensation inquiries.
• Collaboration and Cross-Functional Support:
• Work closely with HR, Finance, and Sales teams to align compensation strategies with business goals.
• Collaborate on budgeting and financial forecasting related to compensation.
• Participate in cross-functional projects, providing analytical support and insights.

REQUIRED SKILLS AND QUALIFICATIONS:

• Education and Experience:
• Bachelor's degree in Analytics, Finance, Business Administration, Statistics, or a related field.
• Minimum of 5 years’ experience in compensation analysis, data analytics, or a related field.
• Experience tracking and reporting compensation payouts relative to plan performance and ARR metrics.
• Technical Proficiency:
• Advanced Excel skills, including Power Query, Power Pivot, and relational data models.
• Proficiency in Power BI for data visual