"VAST's data management vision is the future of the market." - Forbes
Essential Duties and Responsibilities
- Data Extraction: Write and optimize 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, especially Salesforce, 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 Salesforce and Tableau.
- Data Visualization: Develop and maintain thoughtful visualizations to represent data, trends, and performance metrics. Builds visualizations that tell a story.
- Insights: Delivers analytics that answer key business questions and actionable insights that create value and improve business outcomes.
- Data Management: Ensure the accuracy of data through regular audits and process improvement efforts. Works to improve the integrity of our data.
- Process & Policy: Works cross-functionally to streamline data processes. Troubleshoot issues and collaborates to improve data across systems.
- Support & Enablement: Act as a primary support resource for Customer Success teams for all help requests related to Salesforce data and analytics.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- 5+ years in Customer Support, Business Analyst, or similar role with focus on analytics
- Intermediate to Advanced experience with Tableau, Salesforce and Excel to design and produce business insights
- Experience with data visualization best practices and design principles.
- Preferred: Proficiency in SQL and experience with data extraction and transformation.
- Preferred: Experience supporting a global customer-focused team
- Preferred: Enterprise software or high-tech industry experience is a plus.
- Travel: 20% to Tel Aviv and San Jose offices
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.