Senior Data Analyst - Revenue Operations

Company: Virtru
Location: Washington, DC, USA
Type: Full-Time
Salary: $110000 - $140000

Requirements

  • 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.
  • 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.
  • 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.
  • 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

  • Build and maintain polished Tableau dashboards that are scalable, user-friendly, and accurate, ensuring stakeholders have access to key business metrics.
  • Respond to ad hoc analytics requests from business partners using Excel or Google Sheets, providing timely and actionable insights.
  • Assist in building and maintaining analytics infrastructure, including SQL stored procedures and data transformation workflows to support robust analysis.
  • Work closely with Salesforce administrators to fully understand our CRM data, optimize data capture, and ensure high data quality.
  • Design and implement predictive models targeting outcomes such as customer retention and pipeline conversion.
  • Analyze product usage data to uncover complex patterns and network effects, providing nuanced understanding of how customers engage with our offerings.
  • Regularly interface with executives and managers to gather requirements, understand business objectives, and present findings in a clear, compelling manner.
  • Partner on new initiatives by identifying key performance indicators and building corresponding reporting solutions.
  • Troubleshoot and resolve issues with existing dashboards and reports to maintain data integrity and stakeholder trust.

Preferred Qualifications

  • Thinking outside of the box to respectfully challenge your teammates and managers in the pursuit of excellence.
  • Strong sense of urgency with an action-oriented mindset.
  • Able to collaborate and adapt to shifting priorities as business needs evolve.
  • Comfortable with asynchronous communication including slack, email, zoom, etc.

Benefits

  • No benefits info provided.

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