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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex analytical projects, developing scalable data products, and driving data literacy initiatives. Proficient in SQL, data modeling, and business intelligence tools to support strategic decision-making across various business functions.
Highest-signal resume keywords
Expert-Level SQLData Modeling with dbt or SnowflakeBusiness Intelligence Tools (Tableau, Looker, Power BI, DOMO)Data Quality and GovernanceAnalytics Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData EngineeringData ScienceData StorytellingMetrics DefinitionAnalytical Best PracticesCloud Data WarehousingData System DesignPerformance OptimizationCost Management
Soft Skills
Excellent Written CommunicationExcellent Verbal CommunicationStrong Analytical SkillsProblem-Solving SkillsMentoring
Tools & Technologies
DbtTableauLookerPower BIDOMOCloud Data Warehouses
Certifications & Qualifications
Data Analytics CertificationCloud Platform Certification
Industry Keywords
Data GovernanceData LiteracyAI-Enabled AnalyticsStakeholder AlignmentCross-Functional Projects
Tech Stack
Tools & technologiesCloudJamfSnowflakeSQLTableau
About the role
Key responsibilities & impact- Lead strategic analytical roadmaps and initiatives aligned with Jamf's long-term goals
- Identify high-impact opportunities and represent the data function in leadership forums
- Own complex, cross-functional analytical projects from scoping and stakeholder alignment through delivery
- Advise senior leadership and functional analysts across Sales, Marketing, Finance, and Operations
- Translate business questions into scalable data products and decision-shaping insights
- Define metrics, data modeling, data storytelling, and analytical best practices
- Lead scalable data infrastructure and workflows using tools such as dbt
- Lead initiatives that grow data literacy, including enablement resources and training sessions
- Contribute to roadmap and vision planning with Business Intelligence leadership
- Mentor analysts at all levels and foster autonomy, feedback, and continuous learning
- Own data quality and governance, including stewardship practices and the data catalog
- Support Jamf's AI-enabled analytics strategy
Requirements
What you’ll need- 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 within a modern data stack such as dbt or Snowflake, including layered modeling, testing, performance optimization, and cost management
- Strong analytics engineering and data system design across databases, schemas, marts, aggregates, and views
- 4+ years extending and maintaining a data model system for multiple business use cases
- Experience with data access and security practices within and outside a data warehouse
- Bachelor's degree in science, engineering, technology, mathematics, a related field, or equivalent combination of relevant education and experience
- Excellent written and verbal communication
- Strong analytical and problem-solving skills
- Relevant data, analytics, or cloud platform certifications are preferred
Benefits
Comp & perks- Open, flexible culture based on respect and trust
- Work-life balance prioritized
- Flexible working environment
- Volunteer time off
- Inclusive and supportive work environment
- Accommodation support for disabilities or religious beliefs
- Opportunity to make a meaningful impact for more than 75,000 global customers
- Employee empowerment and opportunities to make an impact
- Support and resources for personal and professional growth
