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.