[Hiring] Analytics Manager @Factored

Role Description

We are seeking a strategic Analytics Manager to own and evolve our Center of Excellence (CoE). You will design and deliver scalable operational frameworks, spanning complex data project management and high-impact talent development.

The role combines process optimization, technical mentorship, and delivery assurance to drive operational excellence and superior technical output across Factored.

• Own core CoE processes, including recruitment, placement, onboarding, and structured career growth initiatives for the engineering team.
• Proactively design and implement scalable process improvements to increase organizational efficiency and drive innovation.
• Coach and mentor Engineering Leads and engineers, providing feedback to elevate technical seniority, performance, and professional ownership.
• Bridge strategy and execution, ensuring high-level initiatives are fully implemented, tracked, and delivered successfully.
• Ensure high-quality delivery across data projects, identifying risks early and resolving execution issues with clients and internal teams.
• Foster a culture of data rigor, maintaining the high "Factored Bar" by accurately measuring outcomes and technical deliverables.
• Collaborate cross-functionally to align resources, manage dependencies, and achieve shared organizational goals.
• Manage complex data projects from inception to completion, ensuring clear communication of results and stakeholder alignment.
• Drive accountability and follow-through across all initiatives, ensuring projects stay on track and meet defined success criteria.
• Monitor and optimize key CoE metrics, specifically focusing on resource utilization, placement success, and overall team performance.

Qualifications

• 7+ years of total professional experience, with a consistent track record of professional growth and increasing responsibility.
• 5+ years of experience in specialized data roles, such as Data Analytics, Analytics Engineering, or Data Science, with deep domain expertise.
• 2+ years of experience in leadership roles, demonstrating the ability to manage high-performing teams or lead complex, multi-stakeholder projects.
• Advanced English proficiency, with exceptional written and verbal communication skills tailored for both technical and executive audiences.
• Mastery of data fundamentals, including advanced SQL, data modeling, ETL/ELT pipeline design, and end-to-end analytics workflows.
• Proven track record of execution, with a demonstrated ability to deliver high-impact results in fast-paced or ambiguous environments.
• Strong project management expertise, including proficiency in agile methodologies, resource planning, and risk mitigation.
• Experience in mentoring and coaching, with a focus on developing technical talent and fostering a culture of continuous learning.
• Strategic problem-solving skills, with a high degree of rigor in measuring outcomes and ensuring data integrity.
• Exceptional stakeholder management skills, acting as a bridge between technical execution and business strategy.

Requirements

• Experience in consulting or client-facing environments, with a proven ability to build technical proposals and manage high-stakes client relationships.
• Experience designing and implementing training programs or internal enablement curricula focused on the modern data stack (e.g., dbt, Snowflake, Databricks).
• Direct exposure to AI and Generative AI use cases, specifically in how they integrate with and enhance traditional analytics workflows.
• Proven success in scaling teams or operational processes within a rapidly growing startup or a center of excellence (CoE).
• Familiarity with advanced data governance and quality frameworks to support large-scale enterprise environments.
• Active participation in the data community, such as contributing to open-source projects, speaking at conferences, or technical blogging.

Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Company-wide winter break.
• Paid time off.
• Optional in-person events and meetups.
• Tailored career roadmaps.
• High-performance culture.