Rapid7 Senior Analytics Engineer 

Czechia, Prague, Prague 

293220472

In this role, you will:

• Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes, and design data models.

• Build trust in all interactions, working backwards from a business impacting outcome, utilizing Agile data-product development.

• Design, develop, and extend code repository to extend the Enterprise Dimensional Model (Co-owned by Data-engineering, BI and Go-To-Market Analytics).

• Maintain the Rapid7 Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics for business partners.

• Document plans and results in user-stories, issues, Confluence pages - following the tradition of documentation first!

• Craft code that meets our internal standards for style, maintainability, and best practices (such as the ) for a high-scale database environment. Maintain and advocate for these standards through code review.

• Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas.

• Provide data modeling expertise to all Rapid7 teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in Tableau.

• Play a vital role in building the infrastructure for identifying strategic data opportunities for the business by highlighting / investigating areas of opportunity for all data consumers within Rapid7.

• Assist with onboarding users and other administration tasks in DBT and Tableau

• Assist with enablement efforts for dbt and Tableau to support analysts across Rapid7

The skills you’ll bring include:

• Ability to thrive in a hybrid organization.

• “Be an advocate” for data-driven decision making in our cross-functional teams (Data Engineering, BI-Finance, Product Analytics).

• Positive and solution-oriented mindset.

• Comfort working in an agile, iterative environment.

• Self-motivated and self-managing, with a high level of organizational skills.

• Great communication: Regularly achieve consensus amongst technical and business teams.

• Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.

• Demonstrated experience providing technical leadership & data design.

• Have a solid understanding of data warehouses, business intelligence tools, and the Modern Data Stack.

• Proficiency in engineering best practices (sprints, code reviews, etc.)

• 1+ year(s) in dbt. This means you consider yourself well-versed in dbt modeling and understand how to build modular, performant models.

• 4+ years in the Data space as an analyst, data-scientist, data-engineer, or equivalent.

• 2+ years experience designing, implementing, operating, and extending enterprise dimensional data models.

• 2+ years experience building reports and dashboards in a data visualization tool.

• GitHub experience preferred

• Python experience preferred (For use with DBT & airflow)