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Upstream Operations Data AnalystOakTree StaffingHouston, Texas, United States

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Upstream Operations Data Analyst

OakTree Staffing
  • US
    Houston, Texas, United States
  • US
    Houston, Texas, United States

About

Upstream Operations Data Analyst

Location: Houston, TX

Description

Upstream Operations Data Analyst will be a key contributor in managing and analyzing drilling and completion data to support optimization and performance improvement across the organization. This individual will serve as a key link between field operations, engineering, and leadership by transforming raw operational data into meaningful insights that drive informed decision-making. The ideal candidate brings strong analytical and visualization skills, a proactive mindset with a passion for improving workflows and data integrity, and a general understanding of upstream oil and gas operations.

Key Responsibilities

  • Develop, maintain, and enhance datasets, dashboards, and reporting tools that support daily drilling and completion performance tracking
  • Aggregate and validate large volumes of operational data from multiple internal and third-party systems to ensure data quality, consistency, and accessibility
  • Create visualizations and performance dashboards in Power BI, Spotfire, and Excel to communicate key metrics to technical and leadership teams
  • Facilitate generation of cost estimates and maintain ongoing progress tracking for project budgets and schedules
  • Conduct analytical deep dives into drilling, completion, and production datasets to identify performance trends, cost drivers, and efficiency opportunities
  • Support engineering and operations teams by providing workflow automation solutions
  • Collaborate with IT, engineers, and operations personnel to standardize data collection, nomenclature, and reporting processes
  • Maintain and evolve master data structures for drilling and completions
  • Assist in developing and implementing data governance best practices to ensure consistent, reliable data across platforms
  • Contribute to ongoing digital transformation and continuous improvement initiatives focused on enhancing visibility, automation, and decision support

Qualifications

Required:

  • Bachelor's degree
  • 2-5 years experience as a proven data analyst
  • Advanced proficiency in Microsoft Excel, Power BI, and Spotfire (nice to have but not required) for data analysis and visualization.
  • Experience with SQL, Python, or similar tools for data querying, transformation, or automation
  • Demonstrated ability to translate complex datasets into actionable insights
  • Passion for contributing to collaborating and working with teams to innovate, develop, and continuously develop/improve systems and processes
  • Ability to travel monthly with occasional overnight stay required

Preferred:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Petroleum Technology, or a related field
  • Prior experience in oil and gas preferred but not required.
  • Familiarity with Microsoft Project also preferred.
  • Understanding of upstream operational data flows (daily drilling reports, completion reports, cost tracking, time/depth data, etc.)
  • Familiarity with data warehouse environments and API-based data integration
  • Background in supporting multi-rig, multi-pad, or multi-fleet operations with analytics and reporting solutions

Core Competencies

  • Collaborative Team Player: Engages effectively with engineering, operations, and IT to align data efforts with business objectives
  • Self-Starter: Driven to identify opportunities, streamline workflows, and deliver value with minimal supervision
  • Analytical: Enthusiastic about uncovering insights to improve efficiency and reduce cost
  • Detail-Oriented: Ensures data integrity and reporting accuracy in fast-paced operational environments
  • Communicative: Able to present findings in formats which are clear to both technical and non-technical stakeholders within the organization
  • Houston, Texas, United States

Languages

  • English
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