Jamf Staff Data Analyst at Jamf develops and maintains backend infrastructure automation for Jamf Cloud. The role supports software development teams by managing CI/CD environments and ensuring security best practices.
Responsibilities
You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter.
What you can expect to do in this role:
Develop, deploy, and maintain production environments by identifying and applying automation, tools, and techniques such as Infrastructure as Code, Configuration as Code, Serverless, and Containerization
Ensure security best practices are identified and integrated into system designs and configuration
Assist in evaluating, planning, configuration, and implementation of new software services
Develop custom tools and automation through programming and scripting.
Support Software Development by maintaining and scaling our Continuous Integration and Continuous Delivery environment as needed
Apply Data Lifecycle Management to sensitive data through backups, permissions management, and auditing
Participate in an on-call rotation, triaging and escalating alerts, and assisting in disaster recovery as necessary for services the team is responsible for
Member of an Agile Team providing code reviews, velocity estimation, planning input, and participating in other Agile Methodology workflows
Work and communicate effectively with Product Owners, Development teams, and Cloud and Delivery teams
Create and maintain technical documentation
Qualification
8+ years in data as an analystExpert-level SQL4+ years building data modelsExperience introducing a new toolCORE COMPETENCIESOwnership and autonomyEDUCATION & CERTIFICATIONS
Required
8+ years in data as an analyst, engineer, or scientist
6+ years working with large-scale (1B+ row) cloud data warehouses
6+ years using business intelligence tools such as Tableau, Looker, Power BI, or DOMO
Expert-level SQL
4+ years building data models
Preferred
Experience building multi-quarter analytical roadmaps or leading organization-wide data initiatives.
Experience introducing a new tool, technique, or pattern to a team, with measurable productivity or quality improvements.
Familiarity with SaaS business metrics such as ARR, churn, retention, NRR, and product usage analytics.
CORE COMPETENCIES
Excellent written and verbal communication, with the ability to influence and build consensus across functional teams, including without direct authority, from a data model review to an executive presentation.
Strong analytical and problem-solving skills paired with a strategic mindset that cuts through ambiguity and connects analytical work to broader company objectives.
Ownership and autonomy: identifies gaps, drives work to completion at a high quality bar, and grows data capability across the team through mentoring.
