SCM Databricks Data Analyst

Calgary, AB
On-site
Posted Nov 10, 2026
1 position

$50–$55 / hour

Opens LinkedIn

Employment type: Contract
Posting language: English
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Develop supply chain analytics solutions and build, test, and optimize scalable Databricks ETL/ELT pipelines and data products. Transform enterprise data, develop machine learning and statistical solutions, maintain project documentation, and communicate technical designs to business stakeholders.

Job details

Pay Range: CAD 50-55/hr 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 to support reliable Silver and Gold data products. 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 - Natural Language Processing (NLP) Utilize Databricks platform capabilities such as: - Notebooks - Jobs - Workflows - Unity Catalog - SQL Warehouses - Genie Code - Lakeflow / Lakeflow Designer Maintain project documentation, including idea assessments, requirements, design documents, and weekly status reports. Communicate technical concepts, requirements, solution designs, and product details effectively to business stakeholders in clear, non-technical language. Required Skills: Databricks Python PySpark SQL / Oracle SQL Data Architecture & Data Modeling ETL / ELT Pipeline Development Machine Learning Supply Chain Analytics Data Integration and Data Transformation Preferred Domain Experience: Supply Chain Management (SCM) Oil & Gas Industry Procurement Analytics Supplier Performance Analytics Spend Analytics

What you’ll do

Requirements

The role requires experience with Databricks, Python, PySpark, SQL, data architecture and modeling, ETL/ELT development, machine learning, and data integration and transformation. Supply chain management, oil and gas, procurement, supplier performance, and spend analytics are preferred domain areas.