Sr. Data Analyst (Operations)
VAST Data is looking for a Sr. 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 Sr. Data Analyst (Operations) 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 partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. 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. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. 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.
Essential Duties and 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 sophisticated, automated dashboards that provide real-time visibility into the health of business operations
• 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 for all requests related to data and analytics
Requirements
• Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
• Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
• Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
• Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
• Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
• Domain Expertise: Knowledge with Operations data sources and processes required
• 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.
Apply Now
Apply Now
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 (Operations) 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 partner closely with business stakeholders in Operations to develop analytical solutions that improve VAST reporting systems, data quality, and processes.
With a focus on Operations analytics, the ideal candidate has a strong understanding of Operations programs, organizational structures, tools, best practices, and strategies. 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. The Sr. Data Analyst will manage multiple stakeholders and present to executive and non-technical leaders.
As a Sr. Data Analyst, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Sr. Data Analyst will lead large, complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting linked to strategic business outcomes. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. 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.
Essential Duties and 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 sophisticated, automated dashboards that provide real-time visibility into the health of business operations
• 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 for all requests related to data and analytics
Requirements
• Education: Masters degree in Business, Business Analytics Operations Management, Computer Science, Data Science or a related field preferred
• Experience: 5+ years of experience as a Data Analyst with at least 2 years focused specifically on operational domains (Supply Chain, Logistics, Warehouse Operations, Service Delivery, etc.).
• Programming Languages: Proven expertise in advanced SQL for data extraction and manipulation
• Visualization Tools: Expert in Tableau for dashboard creation, data visualization, and data storytelling
• Analytical Skills: Proven analytical, problem-solving, and critical thinking skills
• Domain Expertise: Knowledge with Operations data sources and processes required
• 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.
Apply Now
Apply Now