About This Role
This analytics engineering role focuses on data engineering and analytics using visualization tools to support wells engineering across ExxonMobil's global portfolio. The position involves interacting with the broader data science community at ExxonMobil India to share best practices and enhance skills in various technologies.
Responsibilities
- Create intuitive and effective visualizations of drilling, completion, and production data from multiple repositories to provide immediate insights
- Work in teams on data visualization projects using Spotfire/Power BI to solve complex engineering and business problems
- Develop data models on Wells drilling, completion, and production data
- Collaborate with cross-functional teams to integrate data from various sources (PI, SAP, EC, CORVA etc.)
- Identify and collaborate with various teams to resolve data quality issues
- Provide engineering recommendations in drilling, completions, and well performance area to ExxonMobil Wells teams based on data modeling and analysis
- Create tutorials, SOP documentation, and training material pertaining to data modeling and analysis if required
- Engage with stakeholders to meet expectations by valuable and actionable insights
- Develop custom visuals to deliver effective and accurate insights
- Develop automated reports using Visualization tools
- Contribute to various stages of analytics, model deployment, and model maintenance
Requirements
- Bachelor's or Master's degree from a recognized university in data engineering, data visualization, petroleum engineering, chemical engineering, or computer graphics design with a minimum GPA of 7.5
- Minimum 3 years of work experience in data analytics and visualization in the upstream oil and gas industry
- Strong analytical skills to evaluate critical design and operating parameters through data and trend analysis
- Experience in creating visualizations on Spotfire/Power BI is preferred
- Experience in data extractions from different kinds of databases like common O&G database, SQL server, Oracle server etc.
- Data modelling for a variety of data including real-time data
- Experience in well design, well performance monitoring, troubleshooting, or optimization of well performance and well management preferred
- Experience in data collation preferred
Nice to have:
- Knowledge of Databricks and GitHub
- Knowledge of SQL and Python (PySpark) programming
- Experience in programming languages such as Java
- Strong communication skills
- Ability to cooperate effectively in a team environment
Important Details
