Staff Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Drive strategic analytical roadmaps and initiatives that are in line with Jamf's long-term objectives.

• Discover high-impact opportunities and represent the data function in leadership discussions.

• Oversee intricate, cross-functional analytical projects from initial scoping and stakeholder alignment to final delivery.

• Provide guidance to senior leadership and functional analysts in Sales, Marketing, Finance, and Operations.

• Convert business inquiries into scalable data products and insights that drive decision-making.

• Establish metrics, data modeling, data storytelling, and analytical best practices.

• Manage scalable data infrastructure and workflows utilizing tools like dbt.

• Spearhead initiatives that enhance data literacy, including the development of enablement resources and training sessions.

• Play a key role in roadmap and vision planning with the Business Intelligence leadership team.

• Mentor analysts at various levels, promoting autonomy, feedback, and ongoing learning.

• Take ownership of data quality and governance, encompassing stewardship practices and the data catalog.

• Support Jamf's strategy for AI-enabled analytics.

⛳️ Requirements

• 8+ years of experience in data as an analyst, engineer, or scientist.

• 6+ years of experience working with large-scale cloud data warehouses (1B+ rows).

• 6+ years of experience using business intelligence tools such as Tableau, Looker, Power BI, or DOMO.

• Proficient in SQL at an expert level.

• 4+ years of experience building data models within a modern data stack such as dbt or Snowflake, including layered modeling, testing, performance optimization, and cost management.

• Strong background in analytics engineering and data system design across databases, schemas, marts, aggregates, and views.

• 4+ years of experience extending and maintaining a data model system for diverse business use cases.

• Familiarity with data access and security practices both within and outside a data warehouse.

• Bachelor’s degree in science, engineering, technology, mathematics, a related field, or a comparable combination of relevant education and experience.

• Exceptional written and verbal communication skills.

• Strong analytical and problem-solving abilities.

• Relevant certifications in data, analytics, or cloud platforms are preferred.

🏝️ Benefits

• Open and flexible culture grounded in respect and trust.

• Prioritization of work-life balance.

• Flexible working environment.

• Volunteer time off available.

• An inclusive and supportive workplace.

• Accommodation support for disabilities or religious beliefs.

• Opportunity to create a meaningful impact for over 75,000 global customers.

• Empowerment and opportunities for employees to make a difference.

• Access to support and resources for personal and professional development.