Analytics Manager

Role Overview

• Analytics Platform Management: Oversee the administration, maintenance, and continuous improvement of dataflows, dashboards, and reporting platforms across the organization’s entities to meet business needs and requirements.
• Strategic Alignment: Ensure the analytics and AI roadmap aligns with Edged strategic objectives and goals. Support continuous iteration based on business requirements and translate strategic priorities into a scalable analytics and AI adoption plan.
• Reporting & Data Quality: Design and standardize reporting across multiple companies, implement data checks, controls, validation, and reconciliation across systems, and establish performance metrics and benchmarks for KPIs and efficiency improvements.
• Cross-Functional Collaboration: Partner closely with Finance for accurate, auditable reporting, coordinate with IT on architecture, access, and security, and translate analytics into clear insights for business operators across the portfolio.
• Stakeholder Engagement: Educate and gain buy-in from key management stakeholders regarding analytics standards and data governance. Build relationships and collaborate with key stakeholders and teams to ensure delivery of commitments.
• Documentation: Prepare and present analytics and reporting documentation for stakeholders, including user guides, SOPs, data dictionaries, and training content.
• AI & Automation: Define and execute a clear path for the development, integration, and deployment of AI-enabled analytics, automation of recurring reports, and intelligent data pipelines, applying AI/ML concepts to forecasting, anomaly detection, and insight generation.
• Technology Trends: Stay informed about technology trends influencing analytics and AI, including both innovative and disruptive developments. Serve as an internal thought leader on responsible AI, data privacy, and modern analytics practices.
• Education and Communication: Educate internal teams and external partners on key analytics platforms and AI strategy, ensuring alignment with business requirements. Act as a trusted advisor guiding teams through the data and AI transformation journey.
• Team Leadership & Growth: Set analytics standards and best practices, own the analytics roadmap including AI adoption, and progress from individual contributor to team lead and people manager — managing workload, priorities, and team development as the function scales.

Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, Finance, Business Administration, Engineering, or related field.
• 3-5 years of experience in data analytics, business intelligence, or financial reporting role.
• 3-5 years of experience working in construction and/or production related fields preferred.
• 2+ years of experience supporting analytics platform administration and reporting tool management (Power BI, Tableau, Looker, or similar).
• 2+ years of experience designing, standardizing, or implementing reporting and data governance processes.
• Advanced spreadsheet and financial modeling skills.
• Experience with ERP, accounting, and supply chain systems, and exposure to AI-assisted analytics or reporting tools, is highly desirable.
• Prior experience working in fast-paced start-up environments preferred.
• Domestic and international travel required.

Tech Stack

• ERP
• Tableau

Benefits

• A fast-paced, entrepreneurial culture focused on innovation.
• A flexible, autonomous work environment.
• A culture of respect, learning, and excellence.
• Experienced, highly talented experts as team peers.
• Growth and travel opportunities.
• A team of change-makers having a significant impact on people and the planet.