24 часа назад
Staff Business Intelligence Data Analyst
115 000 - 178 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Business Intelligence Data Analyst (SQL/dbt/Snowflake): Leading complex cross-functional analytics initiatives and building scalable data models, metrics frameworks, and governed data products with an accent on executive decision support, analytics engineering, and data quality. Focus on architecting large-scale cloud warehouse solutions, optimizing performance and cost, and mentoring analysts while advancing Jamf's AI-enabled analytics strategy.
Location: Remote within the United States of America
Salary: $115,000–$178,000 USD per year, with the range varying by hiring location and other factors.
Company
provides Apple device deployment, management, and security solutions for workplaces, schools, and healthcare organizations.
What you will do
- Lead strategic, cross-functional analytical initiatives from scoping and stakeholder alignment through delivery.
- Advise senior leaders and functional teams across Sales, Marketing, Finance, and Operations, translating business questions into scalable data products and decision-support insights.
- Define metrics frameworks, data modeling practices, data storytelling standards, and analytics best practices.
- Design and maintain scalable data infrastructure and workflows using modern data stack tools such as dbt.
- Drive data literacy through enablement resources and training, and mentor analysts at all levels.
- Own data quality, governance, stewardship practices, data catalog maintenance, and the discoverability of trusted data assets.
Requirements
- 8+ years of experience in data as an analyst, engineer, or scientist.
- 6+ years working with large-scale cloud data warehouses of 1B+ rows and 6+ years using BI tools such as Tableau, Looker, Power BI, or DOMO.
- Expert-level SQL and 4+ years building data models with dbt, Snowflake, or an equivalent modern data stack, including layered modeling, testing, performance optimization, and cost management.
- Strong analytics engineering and data system design experience across databases, schemas, marts, aggregates, and views.
- Experience owning complex cross-functional analytics projects and implementing data access and security practices inside and outside data warehouses.
- Bachelor's degree in science, engineering, technology, mathematics, a related field, or equivalent relevant experience.
Nice to have
- Experience building multi-quarter analytical roadmaps or leading organization-wide data initiatives.
- Experience introducing tools, techniques, or patterns that improve productivity or quality.
- Familiarity with SaaS metrics including ARR, churn, retention, NRR, and product usage analytics.
- Certifications in data, analytics, dbt, Snowflake, or major cloud platforms.
Culture & Benefits
- Open, flexible culture based on respect, trust, autonomy, and continuous learning.
- Emphasis on work-life balance, inclusion, and diverse perspectives.
- Volunteer time off to support community initiatives.
- Opportunity to impact more than 75,000 global customers using Apple device management solutions.
- Employee-focused environment with reported 90% retention.
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