Data Analyst, Customer Success

VAST Data•Raleigh, NC

About The Position

VAST Data is seeking a Data Analyst, Customer Success to join their growing analytics team. This role involves hands-on work to build analytics and dashboard visualizations that provide actionable insights into core customer success metrics. The position will collaborate with stakeholders in the Customer Success organization to develop analytical solutions aimed at enhancing VAST's reporting systems, data quality, and processes for key metrics such as Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption. The Data Analyst will be instrumental in transforming data into actionable insights to improve business outcomes, contributing to teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders at all levels. The focus will be on defined questions, creating standard reports and dashboards, building data models for operational metrics using SQL, and developing visually compelling dashboards in Tableau. The ideal candidate possesses intellectual curiosity and a desire to explore data to uncover deeper insights.

Requirements

Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field.
3-5 years of experience as a data 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.
Proficient in BI tools like Tableau.
Comfortable working in Jira to manage and track analytics tasks.
Minimal travel required (approximately 10% or less annually).
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.

Nice To Haves

Customer Success experience preferred.
Familiar with Customer Success workflows, KPIs, and operational lifecycles of a software company preferred but not required.

Responsibilities

Write SQL queries to extract and transform customer success 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 Customer Success 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 metrics, trends, and performance.
Deliver analytics that answer key business questions and drive value and improved outcomes for Customer Success stakeholders.
Support efforts that improve the accuracy of 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.