Associate Analytics Engineer: AI Apps & Data UX

At Murphy Oil Corporation, we believe the rich experiences and backgrounds of our employees strengthen our Company, create a productive workforce, and drive our success. We encourage you to apply for the positions for which you meet the qualifications.

Job Summary

The Associate Analytics Engineer will support the design, development, and deployment of analytics applications and data solutions for the Applied AI and Analytics team. This role will contribute to UI/UX improvements, front-end and low-code application development, data engineering workflows, and cloud-based solution delivery. Working with Python, React.js, SQL, Power Apps, Azure REST integrations, and Azure Kubernetes Service (AKS), you will help build scalable, user-focused tools and data products that improve business processes and decision-making.

The Associate Analytics Engineer will work in our Houston Corporate office and may work two (2) days a week remotely.

Responsibilities

• Design, build, and enhance analytics applications and internal tools with a focus on usability, responsiveness, and intuitive user experience
• Develop front-end and low-code solutions using React.js, Power Apps, and related technologies to support business workflows and analytics use cases
• Build and maintain foundational data engineering workflows, including data ingestion, transformation, validation, and integration from multiple enterprise data sources
• Write and optimize SQL and Python code to support analytics applications, APIs, automation, and reporting processes
• Support application and service deployment using Azure Kubernetes Service (AKS), Docker, Linux-based environments, and CI/CD pipeline development and release processes
• Work with Azure REST APIs and other integration patterns to connect applications, services, and data platforms
• Assist with dashboard and analytics solution development, including testing, troubleshooting, and continuous improvement based on user feedback
• Conduct data quality checks and support documentation of data flows, technical designs, and deployment processes
• Collaborate with analytics engineers, data engineers, developers, and business stakeholders to translate requirements into practical technical solutions
• Other duties as assigned, including supporting prototype development, user adoption, and operational improvements across analytics products and platforms

• Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field
• Minimum 1 year of experience in analytics engineering, software development, data engineering, or a related technical role
• Proficiency in Python and SQL for data processing, automation, and application support
• Experience with React.js, Power Apps, or similar technologies for front-end or low-code application development
• Foundational understanding of data engineering concepts, including ETL/ELT, data modeling, and data quality practices
• Familiarity with Azure services, Azure REST APIs, CI/CD pipelines, Docker, WSL, and Linux environments, preferably Ubuntu, including deployment concepts such as Azure Kubernetes Service (AKS)
• Strong problem-solving, communication, and collaboration skills with attention to detail and a user-focused mindset

• Experience building user-friendly analytics, dashboard, or workflow solutions preferred
• Exposure to containerized development, Dev Ops practices, automated testing, and Linux or Ubuntu-based workflows preferred
• Familiarity with analytics platforms, cloud data environments, or API-driven integrations preferred
• Coursework or project experience in statistics, software engineering, human-centered design,…