Analytics Engineering Manager in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineering Manager in the United States.

This is a high-impact leadership role focused on shaping how data is transformed into trusted, actionable business insights. You will lead the evolution of the analytics layer, ensuring consistency, scalability, and clarity across reporting and decision-making. Working at the intersection of data engineering, business intelligence, and stakeholder collaboration, you will define standards and best practices that empower teams across the organization. The role blends strategic leadership with hands-on expertise, offering the opportunity to build and mentor a growing analytics engineering team. You’ll play a central role in improving data accessibility, driving self-service analytics, and enhancing reporting performance. This is an ideal opportunity for someone who thrives in a fast-paced, data-driven environment and wants to influence how organizations leverage data at scale.

• Own and evolve the organization’s BI platform and semantic layer, ensuring accuracy, consistency, and long-term scalability
• Define and enforce best practices for analytics engineering, including data modeling, metric definitions, and reporting standards
• Oversee the development, performance, and reliability of enterprise dashboards and reporting solutions
• Collaborate closely with data engineering teams to influence upstream data models and ensure alignment with analytics needs
• Partner with cross-functional stakeholders to align on shared metrics and enable data-driven decision-making
• Lead, mentor, and grow a team of analytics engineers, fostering technical excellence and collaboration
• Drive adoption of self-service analytics through curated datasets, documentation, and governance frameworks

• 6–8+ years of experience in analytics engineering, business intelligence, or data modeling roles
• Strong expertise in SQL and dimensional modeling, with the ability to design scalable semantic layers
• Proven experience working with modern BI tools (e.g., Looker) and data platforms (e.g., lakehouse or warehouse technologies)
• Demonstrated leadership experience, including mentoring or managing technical teams
• Strong analytical thinking with the ability to translate complex data into meaningful business insights
• Excellent communication skills, with the ability to collaborate effectively across technical and non-technical teams
• Ability to influence data architecture decisions without direct ownership of data pipelines
• High emotional intelligence and a collaborative mindset when aligning diverse stakeholder perspectives

• Competitive salary and equity participation (RSUs)
• 401(k) plan with company matching contributions
• Comprehensive medical, dental, and vision coverage with multiple plan options
• Company-funded HSA contributions and life insurance coverage
• Flexible PTO policy and paid holidays
• Generous parental leave programs
• Access to mental health support and wellness resources
• Professional development opportunities, including training and certifications
• Remote-first work environment with flexibility and autonomy