Data Analytics Engineer

Title: Data Analytics Engineer Type: 6 Month Contract (Full-time is possible after contract period) Schedule: Hybrid (3-4 days onsite) Sector: Oil & Gas Location: Houston, TX Overview: Under the direction of the Senior Manager, Asset Management & Reliability, the Data Analytics Engineer will be instrumental in developing and maintaining data models while delivering insightful analyses of maintenance operations, including uptime/downtime, work order metrics, and asset health. Key Responsibilities: • Aggregate and transform raw data from systems such as CMMS, ERP, and SCADA into refined datasets and actionable reports/visualizations using tools like SQL, Python, Power BI, and/or Spotfire. • Own the creation and maintenance of dashboards for preventative and predictive maintenance. • Collaborate cross-functionally to identify data requirements, key performance indicators (KPIs), and reporting gaps. • Ensure high data quality through rigorous testing, validation, and documentation. Qualifications and Skills: • Bachelor’s degree required. • Proficiency in Python and SQL is essential. • Knowledge of API rules and protocols. • Experience organizing development workflows using GitHub. • Familiarity with Machine Learning is a plus. • Preference for candidates with experience in water midstream/infrastructure or Oil & Gas sectors. • Expertise in dashboard creation using tools like Tableau, Spotfire, Excel, or Power BI. • Ability to clearly communicate technical concepts to non-technical stakeholders. • Strong organizational skills and a customer-service mindset. • Capability to work independently or collaboratively with minimal supervision. • Exceptional analytical and problem-solving skills, with a strategic approach to prioritization. • Ability to analyze data, situations, and processes to make informed decisions or resolve issues, with regular communication to management. • Excellent written and verbal communication skills.