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Senior Data Analyst, Analytics Engineering & Visualization

Rapid7

Salary not specified
Oct 3, 2025
Boston, MA, US
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Empowering everyone at Rapid7 to successfully leverage company data in their day to day roles across many teams and topic areas

Requirements

  • Advanced SQL/Snowflake: working with relational databases and large-scale datasets
  • Data Visualization/Tableau: designing and publishing clean, user friendly dashboards
  • Experience with dbt (Data Build Tool)
  • Code Management/GitHub: experience with versioning, code management, and structured peer reviews
  • Experience with Salesforce or equivalent CRM tool, NetSuite, Fivetran, Jira, or FreshService
  • Familiarity with ARR, SaaS business models, and customer analytics
  • Understanding of Data Integrity: monitoring and improving data quality across complex data models, including validation, anomaly detection, and root cause analysis

Responsibilities

  • Lead data storytelling and insight delivery, helping the business make sense of complex patterns with clear narratives and visualizations
  • Develop and maintain trusted Tableau dashboards and SQL/dbt data models
  • Collaborate cross-functionally with Data Engineering and stakeholders on Finance, Customer Success, SalesOps, and Product teams
  • Apply strong data governance and quality practices to ensure models and dashboards both owned by you and others are accurate, scalable, and easy to interpret
  • Identify opportunities for process improvement, automation, and self-service enablement within the analytics ecosystem
  • Contribute to the ongoing evolution of analytics strategy, tools, and best practices
  • Mentor more junior team members to help our team grow together

Other

  • 4+ years of experience in data analytics, analytics engineering, or business intelligence roles
  • Strong communication and collaboration skills: a track record of working effectively with both technical and non-technical audiences
  • Ability to work independently, problem-solve, and own projects end-to-end
  • Experience mentoring or teaching others data skills and best practices
  • Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success