Data Analyst
- Джерело:
- djinni.co
Що робити
- Develop predictive models to optimize drilling performance, fluid properties, and operational efficiency.
- Analyze real-time drilling and sensor data to detect anomalies, reduce nonproductive time (NPT), and improve wellbore stability.
- Build machine learning solutions for forecasting drilling risks, lost circulation events, equipment failures, and fluid losses.
- Design data pipelines and dashboards that integrate operational, geological, and engineering data for decision support.
- Apply statistical analysis and advanced analytics to identify performance trends and recommend process improvements.
Що очікуємо
- Strong proficiency in Python and SQL for data analysis, machine learning, and data engineering.
- Experience with machine learning algorithms, predictive analytics, and statistical modeling.
- Expertise in data visualization tools such as Power BI, Tableau, or Plotly.
- Experience processing large-scale time-series, sensor, and operational data.
- Knowledge of cloud platforms (Azure, AWS, or GCP) and big data technologies.
Що пропонуємо
- Experience analyzing real-time drilling, completions, or industrial operational data.
- Knowledge of drilling fluids, solids control, wellbore stability, and drilling performance KPIs.
- Understanding of IoT, telemetry, SCADA, and sensor-based monitoring systems.
- Experience building predictive models for operational risk reduction and performance optimization.
- Familiarity with digital transformation initiatives in energy, manufacturing, mining, or heavy industry environments.
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