Director, Analytics

Director of Analytics

Location: 100% Remote within the United States
Compensation: Up to $220,000 base salary 15% annual bonus
Work Authorization: Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.

About the Opportunity

A growing organization is seeking a Director of Analytics to lead the strategy, architecture, and delivery of a highly visible enterprise analytics platform. This is a hands-on leadership role for someone who has personally built and scaled modern data and analytics solutions while leading high-performing teams.

You'll oversee a team of Analytics Engineers responsible for the full data lifecycle, including data ingestion, warehousing, semantic modeling, BI enablement, and customer-facing analytics solutions. This role offers the opportunity to shape the future of a rapidly evolving analytics function and influence business decisions at an executive level.

What You'll Do

• Define and execute the analytics platform strategy and long-term roadmap.
• Lead the design and delivery of scalable analytics products, reporting solutions, and self-service data capabilities.
• Oversee modern cloud-based data architecture, data modeling, and analytics engineering best practices.
• Partner with executive stakeholders to translate business objectives into data-driven solutions.
• Build, mentor, and grow a high-performing analytics engineering team.
• Establish standards around data governance, quality, observability, security, and operational excellence.
• Drive adoption of modern development practices including CI/CD, version control, testing, and infrastructure automation.
  
  

What We're Looking For



Leadership Experience

• 10 years of experience in Analytics Engineering, Data Engineering, or related fields.
• 5 years leading and developing analytics or data engineering teams.
• Proven success delivering enterprise-scale analytics products and data platforms.
• Experience hiring, mentoring, and growing technical teams.
  
  

Technical Expertise

• Deep experience with Snowflake and modern cloud data platforms.
• Strong knowledge of AWS, Azure, and/or GCP data services.
• Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
• Advanced SQL skills and strong proficiency with Python.
• Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
• Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
• Understanding of CI/CD, Git-based development workflows, and DevOps concepts.
  
  

Additional Preferred Experience

• Experience building customer-facing or embedded analytics solutions.
• Knowledge of data governance, security, and regulatory compliance frameworks.
• Exposure to technologies such as Docker, Kubernetes, Terraform, or similar infrastructure tools.
• Familiarity with AI/ML-enabled analytics products and data-driven decision platforms.
  
  

Why This Role?

This is an opportunity to join a company making significant investments in modernizing its analytics ecosystem. The successful candidate will have the ability to influence technical strategy, build a best-in-class analytics organization, and deliver high-impact data products that drive measurable business outcomes.

Schedule Expectations

• Most days begin around 8:00 AM Pacific Time.
• Occasional meetings may be scheduled as early as 6:00 AM Pacific Time to support distributed teams and business needs.
  
  

Desired Skills and Experience

Leadership Experience
10 years of experience in Analytics Engineering, Data Engineering, or related fields.
5 years leading and developing analytics or data engineering teams.
Proven success delivering enterprise-scale analytics products and data platforms.
Experience hiring, mentoring, and growing technical teams.
Technical Expertise
Deep experience with Snowflake and modern cloud data platforms.
Strong knowledge of AWS, Azure, and/or GCP data services.
Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
Advanced SQL skills and strong proficiency with Python.
Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
Understanding of CI/CD, Git-based development workflows, and DevOps concepts.