Analytics Engineer
Openkyber
Analytics/AI Translator Location: Remote USA (EST Time Zone)
Work Arrangement: Remote
Position Summary
We are seeking an experienced Analytics/AI Translator to bridge business challenges within Customer Solutions and Supply Chain with analytics and artificial intelligence opportunities. The ideal candidate will understand business processes and data-driven decision-making, identify high-value opportunities for Analytics and AI, translate business needs into actionable use cases, and collaborate with analysts, data engineers, developers, and other technical teams to shape solutions. This is a business-facing role . Candidates do not need to be hands-on production analytics or AI developers but must have a strong conceptual understanding of data, analytics, AI, and their practical business applications.
Key Responsibilities
- Partner with Customer Solutions and Supply Chain stakeholders to understand business challenges, objectives, and opportunities.
- Identify and prioritize high-value business problems that can be addressed through analytics and AI.
- Translate business requirements and challenges into well-defined analytics, AI, and product use cases .
- Evaluate opportunities based on business value, feasibility, data availability, and potential impact.
- Collaborate with data scientists, analysts, data engineers, developers, product teams, and business stakeholders to shape analytics and AI solutions.
- Serve as a bridge between business and technical teams, ensuring business objectives are clearly understood and technical solutions address the intended business outcomes.
- Explain analytics and AI concepts to non-technical stakeholders and help stakeholders understand potential applications and limitations.
- Support solution adoption, change management, and business transformation initiatives.
- Define and communicate expected business value and support value realization after solution implementation.
- Influence business decisions through data-driven insights and analytics opportunities.
- Identify opportunities to improve Customer Solutions and Supply Chain processes through advanced analytics and AI.
Required Qualifications
- Experience working at the intersection of business, data, analytics, and technology .
- Strong understanding of analytics and AI concepts and their appropriate business applications.
- Understanding of data concepts, including OLAP and analytical data structures.
- Conceptual understanding of deep learning, logistic regression, machine learning, predictive analytics , and related analytical techniques.
- Demonstrated ability to identify and prioritize business problems suitable for analytics or AI solutions.
- Experience translating business needs into analytics use cases, product opportunities, or solution requirements.
- Strong communication and stakeholder management skills.
- Experience collaborating with business stakeholders, data analysts, data scientists, data engineers, developers, and product teams.
- Strong understanding of Supply Chain and/or Customer Solutions business processes.
- Ability to communicate complex analytical and technical concepts to business audiences.
- Strong analytical, problem-solving, facilitation, and presentation skills.
Preferred Qualifications
- Experience with Supply Chain Analytics, Customer Solutions, Logistics, Procurement, Planning, or Operations .
- Experience identifying or implementing AI/ML use cases in an enterprise environment.
- Experience with analytics product development or data product management.
- Experience with change management, solution adoption, or digital transformation programs.
- Familiarity with BI, data platforms, data science, machine learning, or cloud analytics environments.
- Experience defining KPIs, measuring business outcomes, and tracking value realization.
For applications and inquiries, contact:View email address on us.fitly.work
Vacancy posted 1 day ago
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