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VAST Data

via Comeet

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Manager, Financial Data Analysis

Anywhere
full-time
Posted 9/15/2025
Direct Apply
Key Skills:
Data Analysis
Financial Analytics
SQL
Tableau
Leadership
SaaS Business Models
Problem-Solving
Critical Thinking
Data Management
Collaboration
Data Visualization
Attention to Detail
Customer-Focused
Mentoring
Data Integrity
Insights Delivery

Compensation

Salary Range

$Not specified

Responsibilities

The Manager, Financial Data Analysis will lead the development and reporting of critical SaaS business metrics, overseeing the creation of impactful dashboards and driving data-informed decisions. This role includes industrializing company-level metrics and ensuring data accuracy and consistency across all reporting.

Requirements

Candidates should have a Bachelor's degree in a related quantitative field and over 10 years of experience in data analytics, with at least 5 years in a leadership role focused on financial analytics. Proficiency in SQL and Tableau, along with a strong understanding of SaaS business metrics, is essential.

Full Description

Description VAST Data is looking for a Manager, Financial Data Analysis to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Overview: We're looking for a Manager, Financial Data Analysis to lead our efforts in developing and reporting on critical SaaS business metrics. This is a strategic role for a leader with a passion for data storytelling, a deep understanding of the SaaS business model, and a proven ability to build compelling visualizations. You will be responsible for defining our metrics, overseeing the creation of impactful dashboards, and driving data-informed decisions across the company. The Manager, Financial Data Analysis will be responsible for industrializing all company-level metrics. The role will lead the consolidation and standardization of metrics, ensuring accurate, timely delivery according to the company reporting cycles. This role will assure quality of the data behind the metrics and consistency in their usage across all reporting. This role will be responsible for reporting on core SaaS metrics including ARR (Annual Recurring Revenue), Customer Churn and Retention Rates, New Customers Acquired, LTV (Customer Lifetime Value), CAC (Customer Acquisition Cost), and others. This is a player/coach position. In the near-term, the Manager, Financial Data Analytics will roll up their sleeves, working hands-on to build analytics and dashboard visualizations that deliver consistent metrics. The role will be responsible for both building data models behind the metrics, using SQL, and creating visually compelling dashboards in Tableau. The Manager will also then work to build the capabilities of the analytics organization over time including mentoring other analysts supporting the Finance analytics roadmap. The ideal candidate for the Manager, Financial Data Analysis will possess a blend of technical expertise in data analysis, a deep understanding of SaaS business models and finance metrics, and proven skills collaborating within a Finance organization. The ideal candidate has the ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. This role requires an attention to detail that ensures accuracy and reliability in findings that lead to trust and credibility with stakeholders. Essential Duties and Responsibilities Strategic Leadership & Vision: Define and execute the Finance analytics roadmap, aligning with overall company objectives and financial strategy. Data Analysis & Reporting: Design and build financial dashboards and reports in Tableau. Leverage various data sources (Salesforce, Netsuite, etc) to build standardized company-level metrics. Cross-Functional Collaboration: Partner closely with leaders in Finance and Rev Ops to assure scalable business processes and adherence to metric definitions. Insights: Delivers analytics that answer key business questions and deliver actionable insights that create value and improve business outcomes. Data Management: Ensure data accuracy, integrity, and consistency across all reporting and analysis. Works with Revenue Operations to improve the integrity of our data. Requirements Education: Bachelor’s degree in Finance, Business Analytics, Data Science or other related quantitative field Experience: 10+ years of experience in data analytics with at least 5+ years in leadership or management role, with a focus on financial analytics Programming Languages: Proven expertise in SQL for data extraction and manipulation Visualization Tools: Expert in Tableau for dashboard creation and data visualization Analytical Skills: Proven analytical, problem-solving, and critical thinking skills Leadership: Demonstrated ability to lead, motivate, and develop a team Domain Expertise: Strong understanding of SaaS business models and key financial metrics such as (ARR, Churn, LTV, CAC) 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 complex data insights clearly and effectively to both technical and non-technical stakeholders. Ability to manage multiple projects and deadlines with prioritizing tasks. Ability to thrive in a culture of transparency and direct feedback. Requirements None

This job posting was last updated on 9/16/2025

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