> Markdown version of [/jobs/ext/3961414-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3961414-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** OpenKyber LLC - **Location:** Atlanta, GA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Software, Logistic Regression, Online Analytical Processing, Deep Learning - **Published:** October 27, 2026 - **Apply:** https://www.careerjet.com/jobad/us38b9d3538bbf6cf6c5df6e7b176f2f8f ## About the Role * 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 ## Description * 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.