Data Analyst (Operations)

VAST Data is looking for a Data Analyst (Operations) 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 Data Analyst (Operations) 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. The role will partner closely with business stakeholders in Operations and other Analysts supporting Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.

We are seeking an analyst that can tell stories with data and deliver actionable recommendations that our stakeholders regularly use to make change within their organizations. With a focus on Operations analytics, the ideal candidate is familiar with Operations programs and data sources. This role will collaborate with stakeholders in Supply Chain, Sourcing, Logistics, and Quality to build analytics that inform decision making, increase return on investment, and improve business outcomes.

As a Data Analyst, 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 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 business objectives
• Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Builds and maintains reports in Tableau
• Data Visualization: Develop and maintain visualizations (using Tableau) to represent data, trends, and metrics. Builds visualizations that tell a story.
• Insights: Deliver analytics that answer specific business questions and deliver actionable insights that create value and improve business outcomes
• Data Management: Support efforts that improve the accuracy of data. Works to identify data quality gaps and improve the integrity of our data
• Process & Policy: Work cross-functionally to streamline data processes. Troubleshoot issues and collaborate to improve data across systems

Requirements

• Education: Bachelor’s degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field
• Experience: 3-5 years of experience as a data analyst, preferably supporting Operations function
• Programming Languages: Proficient in SQL for data extraction and manipulation
• Visualization Tools: Experience in Tableau for dashboard creation and data visualization
• Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
• Domain Expertise: Experience with Operations data sources and processes preferred
• 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.