Analytics Engineer

Houston, TX

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

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.

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