Senior Data Analyst, Analytics Engineering & Visualization

Senior Data Analyst – Analytics Engineering & Visualization

The Senior Data Analyst will be a critical partner to both data consumers and creators to empower everyone at Rapid7 to successfully leverage company data in their day to day roles across many teams and topic areas.

For some projects, you’ll take business questions from discovery to delivery by designing datasets in dbt / SQL, understanding metrics, and building insightful Tableau dashboards. For other projects, you’ll be providing valuable guidance to others who are either looking to understand reporting or build their own datasets and dashboards,

The Team

The Analytics Engineering & Visualization team is a key pillar of Rapid7’s Corporate Data & Reporting organization. We empower the business with reliable, high-level analytics models and unify reporting standards across topic-area analytics teams to ensure accurate, consistent, and easily discoverable insights. Our two key roles are :

• End-to-End Analytics Ownership – building impactful datasets and dashboards that help business leaders understand key metrics.
• Analytics & Reporting Stewardship – shaping reporting standards and data governance practices to ensure that we have consistent, accurate reporting across all data teams at Rapid7 and ensure content is easy for end-users to find and understand.

The Role

We're passionate about building a world-class data ecosystem at Rapid7—balancing a fun, collaborative culture with a strong focus on delivering high-quality, impactful analytics that drive real business outcomes. You’ll be part of a team that sits at the center of data strategy and you’ll have the opportunity to shape the future of data at Rapid7.

As a Senior Data Analyst, Analytics Engineering & Visualization your focus will be to :

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.

The skills and qualities you’ll bring include :

4+ years of experience in data analytics, analytics engineering, or business intelligence roles.

Advanced SQL / Snowflake : working with relational databases and large-scale datasets.

Data Visualization / Tableau : designing and publishing clean, user friendly dashboards.

Strong communication and collaboration skills : a track record of working effectively with both technical and non-technical audiences.

Understanding of Data Integrity : monitoring and improving data quality across complex data models, including validation, anomaly detection, and root cause analysis.

Ability to work independently, problem-solve, and own projects end-to-end.

Experience with dbt (Data Build Tool)

Code Management / GitHub : experience with versioning, code management, and structured peer reviews.

Experience mentoring or teaching others data skills and best practices.

Familiarity with ARR, SaaS business models, and customer analytics.

Experience with Salesforce or equivalent CRM tool, NetSuite, Fivetran, Jira, or FreshService.

Core Value Embodiment : Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.