Supply Chain Data Analyst
7 days ago
Overview:
SCM Enable & Innovate is looking for a data modeler I, product-driven, innovative, start-up mindset to manage end-to-end development and drives impactful business values for the Supply Chain.
Product Development
- Leverage an in-depth understanding of oil and gas industry and supply chain processes and value drivers to develop innovative data science, non-data science and automation solutions.
- Build and implement data science and non-data science models to provide actionable insights for Supply Chain Management.
- Design and optimize ETL (Extract, Transform, Load) pipelines for scalable, high-performance data processing.
- Utilize SAP and Oracle Cloud analytics tools to support product development and decision-making.
- Create data visualizations and dashboards for actionable insights.
- Ensure data governance and compliance with company policies on Company systems.
Program Management
- Define and document project objectives, business value, processes and requirements.
- Oversee project timelines, resources, and cross-functional team coordination, ensuring alignment with project goals.
- Prepare and deliver progress updates and reports to stakeholders.
- Maintain thorough program documentation, including weekly status reports.
Skills and Qualifications
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Technical skills are important but this person does not need not be a coder/programmer sone who is a Data Analyst with Oil and Gas Companies
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Must be able to handle stakeholders who deal within the Supply Chain Department in Oil and Gas
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Experience and knowledgeof Suppliers and Supply Chain Management within the Oil and Gas Industry.
- Technical Expertise:
o Advanced proficiency in data science, including statistical analysis, machine learning, and data visualization.
o Expertise in ETL tools and methodologies.
o In-depth knowledge of SAP and Oracle Cloud, particularly for analytics.
o Strong capabilities with Microsoft Power Platform (Power BI, Dataflow, Power Automate, Power Apps) for workflow automation and low-code development.
o Proficiency in Python for data processing, automation, and analytics.
o Proficiency in SQL for data processing, automation, and analytics
- Industry Knowledge:
Comprehensive understanding of the oil and gas sector, especially its processes and value drivers.
- Project Management:
Skilled in managing projects and coordinating cross-functional teams in a fast-paced environment.
- Communication:
Excellent communication and documentation skills.
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