Upstream Operations Data Analyst

Overview

Hybrid
Depends on Experience
Full Time

Skills

API
Analytical Skill
Analytics
Computer Science
Data Analysis
Data Collection
Data Flow
Data Governance
Data Integrity
Data Quality
Data Warehouse
Master Data Management
Microsoft Power BI
Microsoft Project
SQL
TIBCO Spotfire
Python
Performance Improvement

Job Details

Upstream Operations Data Analyst

Location: Houston, TX (If not willing to relocate, please do not apply. Relo is not provided)

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.