Senior Business and Data Analyst

BeyondTrust

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States

✨ AI Apply

Senior

AWSAzureCloudCyber SecurityGoogle Cloud PlatformSQL

About the role

Build and maintain Power BI dashboards and recurring reporting packages highlighting Product and Engineering financial and operational performance
Develop PLG reporting and product health dashboards to support recurring product and business reviews
Partner with Product, Sales Ops, and Marketing Ops to deliver cross-functional analytics supporting strategic initiatives
Create polished, executive-ready reports and presentations for senior leadership and the board
Automate recurring reporting processes and explore AI-powered tools to improve accuracy and efficiency
Ensure strong data hygiene and governance across all reporting sources
Act as Engineering’s liaison with Procurement, shepherding vendor renewals and new tool requests through corporate processes
Maintain accurate records of Engineering’s vendor contracts, renewal dates, and usage data
Support SVP in high-value vendor negotiations (e.g., cloud service providers)
Provide spend and usage insights to Procurement and Finance during renewal or negotiation cycles
Track ownership, usage, and spend of Engineering’s tool stack to support proactive vendor management
Conduct financial analyses to support investment evaluation, profitability analysis, and scenario planning
Partner with Finance, Procurement, and Engineering to identify cost savings opportunities such as vendor consolidation and license optimization
Contribute to executive-ready materials by translating financial and operational data into clear narratives

Bachelor’s degree in Finance, Business, Computer Science, Data Analytics, or related field (or equivalent experience)
4–6 years of experience in business analytics, data analysis or financial analysis, within SaaS/technology
Strong experience with Power BI (or equivalent BI tools) for dashboards and data visualization
Proficiency in SQL for querying and analyzing large datasets
Strong analytical skills with the ability to work with large, complex data sets
Familiarity with vendor management or procurement-related processes
Proficiency with Excel and financial modeling
Excellent communication skills, including the ability to prepare polished reports and presentations for senior audiences
Familiarity with AI-driven analytics or reporting tools (e.g., Power BI Copilot, SQL assistants) is a plus
(Nice to have) Exposure to cloud financial management (AWS, Azure, or GCP)
(Nice to have) FinOps Foundation knowledge or certification
(Nice to have) SaaS, cybersecurity, or enterprise software background
Hands-on and detail-oriented, comfortable operating in a fast-paced, high-growth environment
Strong collaborator across Engineering, Product Management, Finance, and Procurement
Curious about applying AI to enhance analytics, automation, and data storytelling