DescriptionVAST is seeking a Data Analyst, Finance to join our growing analytics team. The candidate will roll up their sleeves and work hands-on to build analytics and dashboard visualizations that deliver actionable insights on core SaaS and financial metrics. The role will partner closely with stakeholders in Finance, Accounting, Tax, and Revenue Operations, as well as the Manager of Financial Data Analysis to develop analytical solutions that improve VAST's reporting systems, data quality, and processes for metrics such as ARR, RPO, and Customer Retention.
As a Data Analyst, Finance, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Data Analyst will be part of teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels. The analyst will focus on defined questions, creating standard reports and dashboards. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau.
Essential Duties and Responsibilities
- Data Extraction: Write SQL queries to extract and transform financial and SaaS metrics data, ensuring data integrity and accuracy for reporting and analysis purposes
- Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Finance and Revenue Operations objectives
- Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Build and maintain reports in Tableau
- Data Visualization: Develop and maintain Tableau visualizations to represent financial metrics, trends, and performance
- Insights: Deliver analytics that answer key business questions and drive value and improved outcomes for Finance and Revenue Operations stakeholders
- Data Management: Support efforts that improve the accuracy of financial reporting data. Identify data quality gaps, help improve the integrity of source data, and maintain documentation and data definitions for financial metrics. Escalate complex data issues as needed
- AI-Enabled Efficiency: Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work
- Process & Policy: Track and manage analytics work in Jira. Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems
Requirements
- Education: Bachelor's degree in Finance, Business Analytics, Business, Computer Science, Data Science, or a related field
- Experience: 3-5 years of experience as a data or financial analyst; SaaS or Finance/Revenue Operations exposure preferred
- Programming Languages: Proficient in SQL for data extraction and manipulation
- Visualization Tools: Experience with Tableau for dashboard creation and data visualization
- AI Tools: Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work
- Analytical Skills: Strong analytical, problem-solving, and critical thinking skills
- Domain Expertise: Familiarity with SaaS financial metrics (ARR, RPO, Customer Retention) preferred but not required
- Project Tracking: Comfortable working in Jira to manage and track analytics tasks
- Travel: Minimal travel required (approximately 10% or less annually)
Qualifications
- A relentless drive and a customer-first mentality are essential.
- An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
- The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
- Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
- The ability to convey data insights clearly and effectively to both technical and non-technical stakeholders.
- Ability to manage multiple projects and deadlines while prioritizing tasks.
- Ability to thrive in a culture of transparency and direct feedback.
