Analytics Engineer

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.

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