Analytics Engineering Manager; Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analytics Engineering Manager (Remote). In this role, you will lead the self‑service analytics infrastructure and data modeling practices, making a significant impact on how data is leveraged across the organization. You will partner closely with analytics teams to translate their needs into scalable data models and lead a growing team of analytics engineers.

Your leadership will ensure that business users can confidently access and utilize data, ultimately enhancing decision‑making processes within the company. If you have a strong background in analytics and a passion for driving change, this role offers an exciting opportunity to contribute to a dynamic team environment.

• Lead and grow a team of analytics engineers, fostering a culture of craft and user empathy
• Drive the rollout of Lightdash as the central source of truth for business reporting
• Own the development of dashboards, transitioning ownership to analysts as self‑service matures
• Translate reporting needs into maintainable data products in collaboration with stakeholders
• Design training programs for business users across all functions
• Evolve core dbt models and the semantic layer to support key analytical use cases
• Establish governance and standards for metrics, dashboard designs, and testing frameworks
• Collaborate with analysts and Data Engineering to ensure data quality and pipeline reliability
• Balance thoroughness with speed in a fast‑moving environment

• 5+ years in analytics engineering, data engineering, or technical analytics roles, with 2+ years in people management
• Hands‑on leadership style, capable of partnering with senior leadership on strategy
• Deep proficiency in dbt and experience with building and scaling dbt projects
• Strong SQL skills and familiarity with at least one programming language (Python preferred)
• Experience with semantic layers and metrics layers (Lightdash, Looker, etc.)
• Proven track record of fostering self‑service analytics through training and enablement
• Knowledge of dimensional modeling and data warehouse design patterns
• Strong business acumen and a drive to create scalable data products with real impact
• Comfort with ambiguity and a passion for team culture and data quality

• Health insurance and work‑from‑anywhere stipend
• Annual wellness and learning credits
• Annual all‑expenses‑paid company retreat in a beautiful location
• Flexible working hours and a remote‑first environment
• Opportunities for professional growth and development

We appreciate your interest and wish you the best!