Operations Research Analyst Miami, FL

About Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Multiple Openings.

The Operations Research Analyst will be responsible for managing and optimizing global compensation programs, including base, variable, and equity compensation, to attract and retain top talent. This role also involves conducting strategic analysis to identify problems, evaluate alternative courses of action, and recommend solutions to improve operational efficiency and lead transformative projects that align with company objectives. The role will collaborate closely with HR, finance, and business leaders -- leveraging mathematical modeling and quantitative insights to enhance compensation structures and operational processes.

• Formulate and apply mathematical modeling and optimizing methods to analyze global compensation programs including base salary, incentive compensation, and equity compensation, to evaluate alignment with organizational objectives and market data of technology industry peers.
• Develop and maintain complex statistical compensation models and systems to support various departments in compensation planning, workforce cost forecasting, budgeting, and scenario analysis.
• Perform regression analysis, predictive modeling, and other statistical techniques to assess current compensation trends, pay equity, workforce cost projections, and retention initiatives.
• Drive annual compensation review and incentive payment process by preparing models, configuring Oracle HCM Workforce Compensation tool, defining data requirements, gathering and validating information, applying judgment and statistical tests, and presenting results to business stakeholders.
• Gather, organize, and evaluate external compensation survey data and labor market datasets to support competitive market pricing and pay positioning.
• Drive global job architecture and leveling initiatives by formulating and applying mathematical modeling to analyze job content, and recommend compensation structures.
• Design and develop decision support tools and data visualization guides using Power BI to present compensation and operational metrics to management and key stakeholders.
• Perform data validation, reconciliation, and quality control procedures to ensure accuracy and integrity of global compensation data.
• Conduct compliance analyses related to compensation reporting requirements, including Fair Labor Standards Act (FLSA) classification review and documentation.
• Lead user acceptance testing (UAT) activities for compensation system implementations and enhancements, including developing test scripts, executing test cases, documenting results, and coordinating problem resolution with IT partners.
• Regularly generate ad hoc analytical reports defining and evaluating problems and recommending solutions to support management decision-making related to compensation and workforce planning.
• Collaborate with cross-functional teams including Human Resources, Finance, IT, Legal, and Transformation teams to ensure successful implementation of chosen compensation solutions and operational process improvements.

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