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Data Analyst III

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Airswift
Contract position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

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, Open Wells, 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 (preferred) 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 Dev Ops) 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…
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