Senior Analyst, Strategy & Analytics
Senior Analyst, Strategy & Analytics
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Job Description
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. Kaseyas 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 ) 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 and for more information on Kaseyas 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. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.
Senior Analyst Compensation Strategy & Analytics
Fully onsite role in Miami FL
About the Role
Were looking for a sharp analytical and technically proficient Senior Analyst to own and elevate our compensation analytics and reporting function. This role sits at the intersection of data science compensation strategy and business performance playing a key part in shaping how we reward retain and incentivize top talent across the organization.
Youll partner closely with HR Finance Sales Operations and executive leadership to deliver high-impact insights lead cross-functional initiatives and build scalable systems that support growth in a recurring revenue environment.
This is a high-visibility high-impact role ideal for someone who thrives on solving complex problems building with autonomy and influencing strategy through data.
Key Responsibilities
- Lead Compensation Analytics & Reporting:
- Design build and maintain reporting infrastructure and dashboards that provide real-time visibility into compensation performance and incentive metrics.
- Track key indicators such as quota attainment ARR headcount ROI and performance-based payouts.
- Own Data Infrastructure:
- Develop optimize and manage data models using SQL Snowflake and Python.
- Build pipelines that enable seamless access to compensation HR and performance data from various systems (e.g. CRM HRIS financial tools).
- Drive Strategic Insights & Program Design:
- Conduct in-depth analyses to evaluate the effectiveness of compensation plans and suggest enhancements based on performance trends and business objectives.
- Partner with leadership on strategic initiatives related to sales planning incentive optimization and workforce modeling.
- Develop & Integrate Advanced Dashboards:
- Create dynamic executive-level dashboards using Power BI to communicate trends outcomes and recommendations in an intuitive and action-oriented way.
- Ensure visualization best practices are applied to improve clarity interactivity and adoption.
- Support Data-Driven Decision-Making:
- Deliver clear compelling insight decks to senior leaders.
- Translate quantitative findings into strategic recommendations with business impact.
- Collaborate Cross-Functionally:
- Act as a key liaison between HR Finance and Sales Ops ensuring alignment on data governance reporting standards and business KPIs.
- Lead or support special projects and cross-functional workstreams as needed.
Skills & Experience
Technical Expertise
- Power BI Expert: Proficient in DAX data modeling interactive visualizations and performance optimization.
- Advanced Excel: Mastery of Power Query Power Pivot and complex modeling.
- SQL & Snowflake: Ability to manage complex relational databases and write performant queries.
- Python: For data analysis automation and API integrations.
- API Development: Experience integrating third-party data sources into analytics environments.
- Data Visualization: Deep understanding of dashboard design and UX to support data storytelling.
- Quantitative & Qualitative Analysis: Strong foundation in statistical analysis forecasting and synthesizing structured/unstructured insights.
Strategic & Analytical Acumen
- 5 years in compensation analytics strategy finance or sales operations ideally within SaaS B2B or recurring revenue businesses.
- Proven ability to influence senior stakeholders and drive high-impact strategic initiatives.
- Strong understanding of incentive compensation design quota planning and performance measurement.
- Comfortable leading through ambiguity and managing multiple priorities in a fast-paced environment.
- Strong communicator with a talent for simplifying complex concepts for a non-technical audience.
Preferred Qualifications
- Bachelors degree in Business Finance Data Science or a related field.
- MBA or advanced degree in a quantitative discipline is a plus.
- Experience with HRIS/Comp platforms CRM systems or financial planning tools is helpful.
Why Join Us
- High Impact: Your insights will directly influence how we attract retain and reward top talent across the organization.
- Ownership: This is your domainyoull have the autonomy to define processes build infrastructure and elevate how we do analytics.
- Growth Environment: Join a forward-thinking company where data and strategy sit at the core of business decision-making.
- Cross-Functional Collaboration: Work alongside smart driven professionals across HR Finance Sales and Leadership.
Join the Kaseya growth rocket ship and see how we are #ChangingLives !
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race religion age ancestry gender sex sexual orientation national origin citizenship status physical or mental disability veteran status marital status or any other characteristic protected by applicable law.
Required Experience:
Senior IC
Employment Type
Full Time
