Requirements
oracle cloud
power automate
python
prompt engineering
machine learning
bachelor’s
We are seeking a Data Modeler II with a product-driven, innovative mindset to design and implement data solutions that deliver measurable business value for Supply Chain operations. This role combines technical expertise with project management responsibilities, requiring collaboration with IT teams to develop solutions for small and medium-sized business challenges. The ideal candidate will have hands-on experience with data transformation, AI integration, and ERP systems, while also being able to communicate technical concepts in clear, business-friendly language.
- Ability to work independently and oversee own projects.
- Experience with prompt engineering and AI-driven solutions.
- Business-focused mindset with technical expertise.
- Strong documentation, troubleshooting, and analytical skills.
- Excellent communication skills for translating technical concepts into business language.
- Ability to think outside the box and propose innovative solutions.
- Ability to manage projects and engage stakeholders effectively.
- ETL tools (Power Automate, Power Apps; Databricks is a plus).
- Oracle Cloud (Supply Chain and Financial modules).
- Familiarity with AI integration and low-code development platforms.
- Knowledge of ERP systems (Oracle Cloud required; SAP preferred).
- Ability to clean and transform data for analytics and reporting.
- Bachelor’s degree in Commerce (SCM), Data Science, Engineering, or related field.
- Hands-on experience with:
- Strong understanding of Supply Chain processes; oil & gas experience preferred.
- Advanced proficiency in data science concepts, including statistical analysis and machine learning.
- Python for data transformation.
Benefits
Location: Houston, TX or Calgary, AB (Hybrid – work from home on Wednesdays and Fridays)
Benefits: Health, Dental, Vision
Work Setup: Hybrid (On-site with flexibility to work from home two days per week)
- Hybrid work schedule (Wednesdays and Fridays remote).
Training + Development
Information not given or found
