As a member of the local analyst team, will use R and SQL programming to import, clean, analyze, output and display offshore drilling rig data from internal IHS Markit databases to assist the rig team in producing its regular offshore rig reports.
Team member regularly meet with other members of the rig team to discuss results.
Contribute to consulting projects as required and as driven by business needs by working under the direction of a consulting project leader, seeking out peer review of materials and by providing subject matter expertise in areas of assigned disciplines to support delivery of high-quality client-specific projects.
Respond to client research-related questions of various complexity segments by providing timely insight and utilize resources and judgement to address questions and/or refer questions to appropriate staff in a timely manner to provide customer delight in situations of one-on-one client needs.
Implement best practices for data engineering
Develop processes and documentation.
Extract and prepare data for analysis
Develop and revise data science model code
Understand data path from source to destination
Troubleshoot data integrity issues
Prepare and manage data infrastructure (servers, databases etc.) for data storage
Coordinate with analysts and leadership to define and configure data needs
Develop code for automating data processing pipelines
Bachelor's degree in the following: statistics, economics, math, engineering.
Minimum of 3 years directly related experience traditionally acquired by working in industry, government, or consulting
Any equivalent combination of experience and education.
Proficiency with MS applications required (Excel, Word and PowerPoint); experience with databases helpful.
Must be flexible with the ability to work effectively and collaboratively with all coworkers
The Rig Research team primarily uses R for statistical analysis. Candidates must be able to use R and will be given an R test. A successful Candidates will have familiarity with tidyverse, ggplot2, data.table.
Familiarity with Microsoft Power BI, SQL, Git, Python a plus.
Physical Requirements: This position will operate under normal office conditions and will include moderate phone use and moderate to heavy computer use
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