Analytics Manager

Endeavour. Inspired Infrastructure.

5h•Remote

About The Position

Endeavour has an exciting opportunity for someone passionate about data, analytics, and AI, and eager to be part of an innovative company that’s on a journey to transform the world’s data center and IoT infrastructure. We are seeking an Analytics Manager to build, operate, and continuously improve our data, reporting, and analytics ecosystem with a strong emphasis on AI-enabled insights. This role is instrumental in supporting financial reporting, supply chain tracking, and portfolio company performance, partnering closely with Finance, IT, and Operational leadership. You'll bridge the gap between data systems and business operators, leveraging your technical expertise and strategic mindset to scale analytics, automation, and AI adoption across the enterprise. Edged is highly selective about the people we bring on board because our mission depends on it. Progress happens quickly and we must be able to trust one another to be transparent, communicative, strategic, reliable, and driven. We seek ultra-creatives and superstar performers with a sense of humility and a hunger to make a positive impact in the world. We offer flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value.

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.
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.
Strong analytical curiosity, problem-solving mindset, and high integrity and ownership of data accuracy.
Effective communication and technical leadership skills, with the ability to build structure in ambiguous environments.
Knowledge of AI/ML concepts, data privacy, security, and responsible AI practices, and continuous learning in analytics and AI.

Nice To Haves

3-5 years of experience working in construction and/or production related fields preferred.
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.

Responsibilities

Oversee the administration, maintenance, and continuous improvement of dataflows, dashboards, and reporting platforms across the organization’s entities to meet business needs and requirements.
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.
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.
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.
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.
Prepare and present analytics and reporting documentation for stakeholders, including user guides, SOPs, data dictionaries, and training content.
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.
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.
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.
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.