Analytics Engineer

• Identify and prioritize high-value business problems that can be addressed through analytics and AI.
• Translate business needs into analytics use cases and product opportunities.
• Bridge business stakeholders, analysts, data engineers, and developers to shape end-to-end solutions.
• Drive solution adoption, change management, and value realization across the business.
• Apply strong Customer Solutions and Supply Chain domain knowledge to identify opportunities and influence business decisions.
• Collaborate with technical teams throughout the solution lifecycle, from ideation to deployment.

• Strong understanding of data concepts, including OLAP.
• Conceptual understanding of analytics and AI techniques such as deep learning and logistic regression, and their appropriate business applications.
• Ability to identify and prioritize high-value business problems addressable through analytics and AI.
• Proven ability to translate business needs into analytics use cases and product opportunities.
• Strong communication skills to bridge business stakeholders, analysts, data engineers, and developers.
• Experience driving solution adoption, change management, and value realization.
• Strong Customer Solutions and/or Supply Chain domain knowledge.

Nice to Have Candidates do not necessarily need to be hands-on production analytics developers, but should have a strong conceptual understanding of analytics, AI, and data. For applications and inquiries, contact:hirings@openkyber.com