Analytics Engineering Manager

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.

Accountabilities

• 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
  
  

Requirements

• 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
  
  

Benefits

• 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
  
  

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.