Work authorization:
any (candidate must be authorized to work in US)
Must-have skills
: Peloton’s WellView Software; Python and SQL; Spotfire and PowerBI; Field experience with Drilling or Completions; Experience with Corva
Location: Houston, TX
Estimated Duration: 12 months with possible extension(s)
Requirements:
• Availability to work 100% at the Client’s site in Houston, TX (required);
• Experience in programming, data analysis, and machine learning techniques;
• Experience with drilling and completions operations;
• Experience with Peloton’s WellView Software;
• Programming experience in both Python and SQL;
• Dashboarding experience with Spotfire and PowerBI;
• Field experience with Drilling or Completions (preferred);
• Experience with Corva (preferred);
• Bachelor of Science or Master of Science in Engineering, Computer Science, Geophysics, Physics, Data Science, or Data Analytics;
Responsibilities include but are not limited to the following:
• Support the drilling and completions (D&C) team by managing and analyzing data and leading analytics initiatives to enhance operational efficiency and reduce costs consolidating and redeveloping PowerBI and Spotfire dashboards for D&C performance
monitoring, automating data audits for WellView, identifying and reporting erroneous data, and assisting in all D&C analytics projects;
• Collaborating with Drilling and Completions Engineers to create tools addressing key challenges in operations;
• Designing and implementing data engineering strategies, extracting ,data from various sources for in-depth reports, and analysis to boost, continuous improvement;
• Identifying and adopting new technologies, assessing solutions, and, recommending changes to streamline operational workflows;
• Delivering specific well data analytics reports through, Spotfire/PowerBI visualizations, offering insights on cost and, operational performance;
• Overseeing and enhancing data capture and quality control ,processes;
• Aiding in wells optimization with data QA/QC, manipulation,, analysis, and visualization;
• Engaging with the D&C team to promote improvements to the suite of analytics tools.