Sr. Data Analyst Sales

VAST Data

About The Position

VAST Data is looking for a Sr. Data Analyst Sales 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: VAST is seeking a Sr. Data Analyst Sales to join our growing analytics team. The Sr. Data Analyst will provide strategic recommendations (not just data findings) that directly influence business decisions and company strategy. The role will be fully aligned with Sales and Revenue Operations (RevOps) to develop analytical solutions that improve reporting systems, data quality, and processes. This role will drive consistency across the sales org, not just produce reports. The Sr. Data Analyst will manage multiple stakeholders and present to Sales leadership at all levels of the organization. With a focus on Sales analytics, the ideal candidate has a strong understanding of Sales processes, organizational structures, best practices, and strategies. This role requires a deep understanding of SFDC data schema (Accounts, Leads, Opportunities). The Sr. Data Analyst will build and maintain metrics used across a global sales organization to improve performance. Knowledge of sales and RevOps definitions (pipeline, commit, stage criteria, quote to cash steps, lead to order, sales ops metrics, etc.) is expected. The role will be responsible for building data models behind operational metrics, using SQL. The role will create visually compelling dashboards in Tableau that deliver timely insights that enable course correction, change behaviors, and improve outcomes. As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The analyst is expected to deliver in a fast-paced, dynamic environment while also ensuring accuracy and reliability of analytics. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders use to make change within their organizations.

Requirements

Education: Masters degree in Business, Business Analytics, Computer Science, Data Science or a related field preferred
Experience: 5+ years as a data analyst with experience in sales analytics, commercial operations, FP&A, or business intelligence
Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation required
Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling required
Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
Domain Expertise: Knowledge of SFDC data, schemas, and processes required. Knowledge of sales and RevOps metrics and definitions is expected
Travel: Minimal travel required (approximately 10% or less annually)

Nice To Haves

A relentless drive and a customer-first mentality are essential.
The ability to deliver quickly on requests, shortening development cycles and iterations
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.

Responsibilities

Strategic Leadership: Translates high-level business problems and questions into specific, measurable analytics, metrics, and visualizations
Project Ownership: Leads analytical projects end-to-end with minimal supervision, including defining scope, methodology, execution, and delivery
Mentorship: Provide guidance and analytical support to junior analysts. Conduct peer review of code, analysis, and reports to ensure accuracy and quality
Data Extraction: Applies advanced SQL skills to extract and transform data, ensuring data integrity and accuracy for reporting and analysis purposes
Strategic Analysis: Design, implement, and maintain metrics, moving beyond basic reporting to establish predictive performance indicators
Data Visualization: Develop and maintain automated Tableau dashboards that provide real-time visibility into the health of Sales
Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data
Stakeholder Management: Act as a primary liaison between the analytics team and business function. Ability to influence senior leaders and drive cross-functional alignment.

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