Description

Key Responsibilities:

• Develop analytics solutions that address Supply Chain business challenges, leveraging knowledge of oil & gas operations, procurement, supplier performance, spend analytics, and enterprise value drivers.
• Design, build, test, and optimize scalable ETL/ELT pipelines in Databricks using Python, PySpark, SQL, notebooks, jobs, and orchestration patterns.
• Create and support reliable Silver and Gold data products to ensure high-quality, governed data delivery.
• Transform and model data from ERP and enterprise platforms, including Oracle Cloud, SAP, ADW, Microsoft Dataflow, Dataverse, and other approved data sources.
• Build and evaluate machine learning, statistical, and AI-assisted solutions, including classification, forecasting, anomaly detection, text analytics, and natural language processing on structured and unstructured SCM data.
• Utilize Databricks platform capabilities such as notebooks, jobs, workflows, Unity Catalog, SQL Warehouses, Genie Code, and Lakeflow/Lakeflow Designer where approved.
• Maintain comprehensive project documentation, including idea assessments, requirements, design documents, and weekly status reports.
• Communicate technical concepts, requirements, design decisions, and product details to business stakeholders in clear and simple language.
• Collaborate with cross-functional teams to deliver data products that align with enterprise standards and business objectives.

Required Skills & Qualifications:

• Experience: 5–7 years of relevant SCM, analytics, or product development experience.
• Advanced proficiency in data science, including statistical analysis, predictive analytics, machine learning, text-based sentiment analysis, and data visualization.
• Strong experience analyzing unstructured data, such as PO line descriptions and customer feedback, to extract actionable insights.
• Advanced proficiency in Python and PySpark for large-scale data processing in Databricks.
• Hands-on experience with Databricks notebooks, jobs, workflows, Unity Catalog, SQL Warehouses, and Lakeflow/Lakeflow Designer.
• Strong knowledge of prompt engineering and AI-assisted solution development.
• Hands-on experience developing solutions using Microsoft Power Platform, including Copilot Studio, Dataflow, Dataverse, Power Automate, and Model-driven Apps.
• In-depth knowledge of SAP and Oracle Cloud modules related to SCM, Accounts Payable, Projects, and Finance.
• Proficiency in SQL for data transformation and querying.
• Experience with Alteryx for data preparation and workflow automation is a plus.
• Strong understanding of SCM Procure-to-Pay (P2P) and Source-to-Pay (S2P) processes and value drivers.
• Experience working in the oil & gas industry is highly preferred.
• Skilled in Agile and Waterfall project methodologies, stakeholder engagement, and project documentation using PowerPoint, Excel, Visio, and related tools.

Education:

Bachelor’s degree in Commerce (SCM), Data Science, Engineering, or a related field

Key Skills

Education

Bachelor's degree