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 : You 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 :
Bachelors 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.