Virtru is seeking a Senior Data Analyst to support Sales, Marketing, and Customer Success departments with actionable, data-driven insights to make informed business decisions.
Requirements
- Proficiency in SQL, including advanced concepts such as Common Table Expressions (CTEs) and procedural logic (loops, scripting, stored procedures).
- Advanced skills in Microsoft Excel and/or Google Sheets, including complex formulas, data modeling, and integrating external data sources.
- Proficiency with business intelligence platforms such as Tableau or Looker, with a track record of creating impactful dashboards.
- Experience working with Salesforce CRM data, understanding objects, relationships, and workflow best practices.
- Experience building production-grade predictive models (e.g., using Python, R, or similar).
- Familiarity with data pipeline tools (e.g., dbt, Airflow).
- Experience in SaaS or recurring revenue businesses.
Responsibilities
- Dashboard Development: Build and maintain polished Tableau dashboards that are scalable, user-friendly, and accurate, ensuring stakeholders have access to key business metrics.
- Ad Hoc Analysis: Respond to ad hoc analytics requests from business partners using Excel or Google Sheets, providing timely and actionable insights.
- Data Infrastructure: Assist in building and maintaining analytics infrastructure, including SQL stored procedures and data transformation workflows to support robust analysis.
- Data Quality Collaboration: Work closely with Salesforce administrators to fully understand our CRM data, optimize data capture, and ensure high data quality.
- Predictive Modeling: Design and implement predictive models targeting outcomes such as customer retention and pipeline conversion.
- Product Usage Analysis: Analyze product usage data to uncover complex patterns and network effects, providing nuanced understanding of how customers engage with our offerings.
- Stakeholder Engagement: Regularly interface with executives and managers to gather requirements, understand business objectives, and present findings in a clear, compelling manner.
Other
- 2+ years in a data analyst, data engineer, or data scientist role, ideally supporting Sales, Marketing, or Customer Success functions.
- Demonstrated experience collaborating with business leaders and executives to understand and solve their data challenges.
- Strong communication skills with an ability to translate complex analytical work into clear, actionable business insights.
- High attention to detail, with strong organizational and problem-solving skills.
- Flexible PTO policy and ability to work in a remote-first capacity
