Go To Market Analytics Lead
Rapid7 (NASDAQ: RPD) is helping organizations around the globe advance securely. Our technology, services, and community-focused research simplify complexity for security teams, helping them reduce vulnerabilities, monitor for malicious behavior, investigate and shut down attacks, and automate routine tasks. With more than 9000 customers across 120+ countries, Rapid7 is a recognized leader in cybersecurity that has proudly earned numerous industry accolades and strong recognition for our technology and culture. Learn more at www.rapid7.com.
Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, able to translate data insights and analysis needs into models powered by the Enterprise Data Cloud - Snowflake. The successful Analytics Engineer is able to blend business acumen with technical expertise and transition between business strategy and data development.
As a key leader responsible for helping to bridge the gap between business and technology, in-service of data-driven business growth and operation the Analytics Engineer role requires equal amounts business acumen and technical acumen.
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.
Serve as the Directly Responsible Individual for major sections of the Enterprise Dimensional Model
Design, develop, and extend dbt code to extend the Enterprise Dimensional Model (Co-owned by Data-engineering, BI and Go-To-Market Analytics)
Create and maintain architecture and systems documentation in the “Data Team” Handbook
Maintain the Go-To-Customer 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, MRs, the team's handbook - following the tradition of documentation first!
Implement the DataOps philosophy in everything you do
Craft code that meets our internal standards for style, maintainability, and best practices (such as the SQL Style Guide) 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.
Ability to thrive in a hybrid organization
“Be an advocate” for data-driven decision making, and management in the Go-To-Market organization as-well as for the Go-To-Market perspective in the cross-functional data-teams (Data Engineering, BI-Finance, Product Analytics)
Positive and solution-oriented mindset
Comfort working in a highly agile, intensely iterative environment
Self-motivated and self-managing, with task 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 with the “Sales” domain.
Experience in the following domains will be considered a big advantage: Marketing, Product, Customer success, Customer support
7+ years in the Data space as an analyst, data-scientist, data-engineer, or equivalent
4+ years experience designing, implementing, operating, and extending commercial Kimball enterprise dimensional models
4+ years experience building reports and dashboards in a data visualization tool
2+ years creating project plans to identify tasks, milestones, and deliverables