Analytics Engineering Manager

Accountabilities:

• 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

Requirements:

• 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

Benefits:

• 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

How Jobgether works:
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!
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