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Kaseya® is the leading provider of IT and security management solutions for managed service providers (MSPs) and SMBs.
Senior Data Analyst
Location
United States
Posted
34 days ago
Salary
$130K / year
Seniority
Senior
Job Description
Senior Data Analyst
Kaseya
• Lead initiatives to build intelligent insights and automated analysis workflows that improve efficiency and decision-making. • Identify high-impact Finance Operations use cases and translate them into scalable analytical and decision-support solutions. • Partner with Finance Operations, Data, and other cross-functional teams to design, scale, and automate financial data products and dashboards. • Lead the design of scalable datasets, analytical models, and dashboards that enable forecasting, performance tracking, and risk management. • Design robust datasets and perform complex SQL queries across multiple systems to ensure data accuracy, usability, and scalability. • Lead complex analyses (e.g., revenue, cash flow, bad debt) to uncover drivers of performance and turn insights into measurable outcomes. • Present insights to senior leadership and produce executive-level materials with clear, data-driven narratives. • Influence cross-functional teams (Finance, Finance Operations, Sales, Data Engineering) by bringing structure to ambiguity and driving alignment.
Job Requirements
- Bachelor’s degree in a quantitative or business field (e.g., Finance, Economics, Math, or related discipline).
- 2+ years of experience leading large-scale analytics initiatives or programs; SaaS and finance operations (order to cash) experience preferred.
- Proven experience building analytical or decision-support solutions (e.g., intelligent insights agents, automated analysis workflows).
- Strong SQL expertise, with the ability to design robust datasets and perform complex queries across multiple systems.
- Strong analytical depth and business acumen, with the ability to navigate ambiguity, uncover opportunities, and deliver clear, data-driven narratives.
- Experience applying advanced analytics techniques, including forecasting (e.g., revenue, cash flow, bad debt), segmentation, and regression analysis to identify drivers of performance.
- Strong written and verbal communication skills, including presenting insights to senior leadership and producing executive-level materials.
- Demonstrated experience influencing cross-functional teams with data (Finance, Finance Operations, Sales, Data Engineering).
- Proficiency in data visualization tools (e.g., Power BI, Sigma) and advanced Excel.
- Track record of operating effectively in ambiguous environments, driving clarity, and delivering measurable business outcomes.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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