Senior Data Analyst - Remote, Strategy & Data Modeling Lead

Jamf

Oregon

Hybrid

USD 115,000 - 178,000

Full time

14 days+

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Job summary

Jamf is seeking a Staff Data Analyst to drive end-to-end analytics initiatives and set the standard for data modeling, governance, and scalable data infrastructure. You will partner with executives and functional teams to translate business questions into data products and deliver insights that inform strategic decisions.

You will lead cross-functional projects, mentor analysts, and help shape Jamf's AI-enabled analytics strategy while ensuring high data quality and secure data access across the

Qualifications

  • 8+ years in data as an analyst, engineer, or scientist.
  • 6+ years with large-scale cloud data warehouses.
  • 4+ years building data models in a modern data stack.

Responsibilities

  • Own end-to-end analytical initiatives and define metrics frameworks.
  • Lead cross-functional projects from scoping to delivery.
  • Partner with senior leaders to translate questions into data products.
  • Define data infrastructure, governance, and data quality standards.
  • Mentor analysts and drive data literacy across the org.
  • Collaborate with BI leadership on roadmaps and vision.
  • Ensure data security and compliant data access practices.

Skills

SQL
Data modeling
Analytics leadership
Data governance
Stakeholder management
Cloud data architectures

Education

Bachelor's degree in science/engineering/tech/math
Certs in data/analytics/cloud (preferred)

Tools

dbt
Snowflake
Tableau
Looker
Power BI
DOMO

Job description

Jamf is seeking a Staff Data Analyst to drive end-to-end analytics initiatives and set the standard for data modeling, governance, and scalable data infrastructure. You will partner with executives and functional teams to translate business questions into data products and deliver insights that inform strategic decisions.

You will lead cross-functional projects, mentor analysts, and help shape Jamf's AI-enabled analytics strategy while ensuring high data quality and secure data access across the

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