Data Analyst, Finance

VAST Data•New York, NY

13h•Onsite

About The Position

VAST Data is seeking a Data Analyst, Finance to join their growing analytics team. This role involves hands-on work to build analytics and dashboard visualizations that deliver actionable insights on core SaaS and financial metrics. The candidate 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 key metrics like ARR, RPO, and Customer Retention. The position plays a key role in transforming data into actionable insights to improve business outcomes, focusing on building and delivering accurate, accessible, and repeatable business reporting and insights. The analyst will concentrate on defined questions, creating standard reports and dashboards, building data models behind operational metrics using SQL, and creating visually compelling dashboards in Tableau.

Requirements

Bachelor's degree in Finance, Business Analytics, Business, Computer Science, Data Science, or a related field.
3-5 years of experience as a data or financial analyst.
Proficient in SQL for data extraction and manipulation.
Experience with Tableau for dashboard creation and data visualization.
Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work.
Strong analytical, problem-solving, and critical thinking skills.
Comfortable working in Jira to manage and track analytics tasks.

Nice To Haves

SaaS or Finance/Revenue Operations exposure preferred.
Familiarity with SaaS financial metrics (ARR, RPO, Customer Retention) preferred but not required.
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.

Responsibilities

Write SQL queries to extract and transform financial and SaaS metrics data, ensuring data integrity and accuracy for reporting and analysis purposes.
Collect, clean, and interpret data from various sources to provide actionable insights that support Finance and Revenue Operations objectives.
Develop ad-hoc reports and analytics packages for regular business reviews.
Build and maintain reports in Tableau.
Develop and maintain Tableau visualizations to represent financial metrics, trends, and performance.
Deliver analytics that answer key business questions and drive value and improved outcomes for Finance and Revenue Operations stakeholders.
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.
Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work.
Track and manage analytics work in Jira.
Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems.