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Airswift is seeking Data Analyst III for an initial 12 months to support a major O&G client.
Location: Denver, CO
Contract Duration: 12 months with the possibility of extension
Schedule: 9/80 - Hybrid
We are seeking a Senior Data Analyst to join our Rockies region team on a contract basis, providing dedicated analytical support to the Drilling & Completions (D&C) organization. This is a strategic role embedded within operations, where you will transform raw data into actionable insights that drive operational efficiency, well delivery performance, and capital optimization.
The ideal candidate will become a trusted data partner to D&C leadership, engineers, and field personnel, delivering high-quality analytics, dashboards, and automated solutions that directly impact business outcomes. This role requires a seasoned professional who can work independently, solve complex problems, and communicate findings effectively at all levels, including executive management.
Key Responsibilities:
Data Analysis & Insights
- Extract, analyze, and interpret complex datasets to derive insights that drive strategic business decisions.
- Develop and maintain SQL queries against enterprise data systems (OXYODS, OpenWells, operational databases) to support D&C reporting and analysis.
- Perform detailed analysis of drilling and completions performance, timelines, costs, and operational KPIs.
- Translate technical findings into actionable business insights and recommendations.
Dashboard Development & Visualization
- Build, enhance, and manage Power BI and/or Spotfire dashboards for D&C and Operations teams.
- Create insightful visualizations that communicate complex data clearly to technical and non-technical stakeholders.
- Maintain dashboard integrity by troubleshooting issues, reconnecting data sources, and optimizing refresh performance.
- Ensure reporting solutions align with enterprise BI standards.
Process Automation & Optimization
- Utilize automation tools to streamline data analysis and business processes.
- Identify manual, repetitive processes and implement automated solutions.
- Develop reusable SQL templates, stored procedures, and data pipelines for recurring analysis.
- Continuously identify optimization opportunities in data workflows and reporting.
Collaboration & Stakeholder Support
- Work closely with D&C engineers, operations leads, and business stakeholders to understand data requirements and provide analytical support.
- Collaborate effectively with data engineers, data scientists, and IT teams.
- Respond swiftly to ad-hoc data requests while maintaining quality standards.
- Document data lineage, business logic, and reporting methodologies.
Data Quality & Governance
- Develop data validation queries and perform continuous QC across source systems.
- Monitor data freshness and proactively flag anomalies.
- Support master data management for wells, pads, assets, and operational hierarchies.
Required Qualifications
- 3+ years of professional experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- 2+ years writing complex SQL queries in production environments, including creating new queries from scratch and optimizing existing ones.
- 2+ years hands-on experience building and managing Power BI and/or Spotfire dashboards.
- Experience supporting operations, engineering, or field teams in a data-intensive environment.
Technical Skills:
- Expert-level SQL including CTEs, subqueries, joins, aggregations, window functions, and string manipulation.
- Proficiency in Power BI () or Spotfire for building dashboards and reports (required).
- Strong understanding of relational database concepts and data modeling.
- Proficiency in Excel for data manipulation and analysis.
- Experience with version control systems (Git, Azure DevOps) for code management is a plus.
Analytical & Problem-Solving Skills:
- Strong analytical, problem-solving, and critical thinking abilities in a data-intensive environment.
- Ability to perform detailed analysis and translate complex data into clear business insights.
- Strong attention to detail with focus on data accuracy and completeness.
- Comfortable working with ambiguous requirements and iterating toward solutions.
Communication & Collaboration
- Excellent communication, presentation, and data storytelling skills.
- Strong verbal and written communication skills with demonstrated ability