Back
Remote role but senior and supply-chain BI specialization moderates applicant density.
Requires supply-chain and EDI BI experience, reducing cross-industry transferability.
Strong 8+ years requirement plus mandatory supply-chain, EDI and BI stack skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop embedded dashboards for supply chain transaction analytics focusing on transaction flows, errors, and operational performance using Sigma or Metabase.
Collaborate with data engineers and stakeholders to translate large transactional datasets into actionable insights and maintain a semantic layer for consistent KPI definitions.
Optimize and validate reporting outputs for accuracy, scalability, and integrate dashboards into SaaS applications using iframe or similar methods, leveraging AI tools for query and metric generation.
8+ years of experience in BI, reporting, or analytics engineering.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Hands-on experience with Sigma or Metabase (at least one required) and strong SQL skills on large transactional datasets.
Experience in supply chain, logistics, retail, or B2B commerce environments with familiarity in EDI transaction reporting and embedded analytics within SaaS applications.
Experienced BI engineer with a focus on operational and transactional data systems in supply chain or related domains.
Proficient in building scalable, accurate embedded analytics dashboards and managing semantic KPI layers, capable of validating data and metrics rigorously.
Comfortable using AI-assisted analytics tools and collaborating closely with data engineering teams to deliver business-impacting reporting solutions.