Associate Analytics Engineer - Applied AI & Analytics

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, We believe in providing energy that empowers people.

Do you have experience in SQL?, 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

Th e individual is required to follow all applicable safety precautions. Work is performed almost entirely in a controlled (i.e., inside) environment and does not typically subject the incumbent to any hazardous/extreme elements; some positions may require regularly moving or transporting items weighing up to 25 lbs. around the office for various needs. The successful candidate must be able to complete all essential physical requirements of the job with or without reasonable accommodation.

Desired/Preferred Qualifications

Experience building user-friendly analytics, dashboard, or workflow solutions preferred Exposure to containerized development, DevOps 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, or data systems preferred Ability to learn quickly, work independently with guidance, and communicate effectively with multidisciplinary teams