Analytics Manager
New
F
FactoredAI, ML, Data
Fully remoteFull-TimeManager
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 7+ years of total professional experience, 5+ years of experience in specialized data roles, 2+ years of experience in leadership roles
- Required Skills
- Project ManagementSQLETLAgile methodologiesData modeling
Requirements
- 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.
Responsibilities
- 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.
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