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Data Analyst III

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: NES Fircroft
Full Time position
Listed on 2026-03-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Data Analyst (Hybrid – Denver, CO) – Contract Position

We are seeking a Senior Data Analyst to support the Rockies region, delivering dedicated analytical capabilities to the Drilling & Completions (D&C) organization. This strategic operations‑embedded role focuses on transforming raw data into high‑value insights that enhance operational efficiency, well delivery performance, and capital management.

The successful candidate will serve as a trusted analytical partner to D&C leadership, engineers, and field personnel—building dashboards, analytics, and automated solutions that directly influence business outcomes. This role requires a seasoned analyst capable of working independently, solving complex problems, and presenting findings clearly to stakeholders at all levels, including executives.

Key Responsibilities Data Analysis & Insights
  • Extract, analyze, and interpret complex datasets to support strategic decision‑making.
  • Build and maintain SQL queries across enterprise systems (OXYODS, Open Wells, operational databases) for D&C reporting.
  • Conduct detailed analysis of drilling and completions performance, timelines, costs, and operational KPIs.
  • Translate technical analysis into actionable insights and business recommendations.
Dashboard Development & Visualization
  • Develop, enhance, and maintain Power BI and/or Spotfire dashboards for D&C and Operations teams.
  • Create clear visualizations for both technical and non‑technical audiences.
  • Troubleshoot dashboard issues, reconnect data sources, and optimize refresh performance.
  • Ensure alignment to enterprise BI standards.
Process Automation & Optimization
  • Use automation tools to streamline recurring data analysis and business workflows.
  • Identify manual processes and introduce automated solutions.
  • Build reusable SQL templates, stored procedures, and data pipelines.
  • Continuously seek efficiency improvements in data and reporting workflows.
Collaboration & Stakeholder Support
  • Partner with D&C engineers, operations leaders, and business teams to define data needs and deliver analytical support.
  • Collaborate with data engineers, data scientists, and IT teams.
  • Respond to ad‑hoc data requests promptly while maintaining accuracy and quality.
  • Document data lineage, logic, and reporting methodologies.
Data Quality & Governance
  • Develop validation queries and perform ongoing QC across multiple data sources.
  • Monitor data freshness and proactively identify anomalies.
  • Support master data management for wells, pads, assets, and operational hierarchies.
Required Qualifications Experience
  • 3+ years as a Data Analyst, BI Analyst, or similar role.
  • 2+ years writing complex SQL queries in production environments, including new query development and optimization.
  • 2+ years building and managing Power BI and/or Spotfire dashboards.
  • Experience supporting operations, engineering, or field teams in data‑intensive environments.
Technical Skills
  • Advanced SQL expertise (CTEs, joins, aggregations, window functions, string manipulation).
  • Proficiency in Power BI (preferred) or Spotfire (required).
  • Strong foundation in relational database concepts and data modeling.
  • High proficiency in Excel.
  • Experience with Git or Azure Dev Ops is a plus.
Analytical & Problem‑Solving
  • Strong analytical, critical‑thinking, and problem‑solving skills.
  • Ability to transform complex datasets into clear business insights.
  • High attention to detail and data accuracy.
  • Comfortable working with ambiguous requirements and iterating toward solutions.
Communication & Collaboration
  • Excellent verbal, written, and presentation skills.
  • Ability to communicate effectively with all levels, including executives.
  • Strong team collaboration skills across engineering, operations, and business groups.
  • Self‑starter with strong organizational and multitasking ability.
Education
  • Bachelor’s degree in Engineering, Computer Science, Data Science, Finance, or related field.
Work Location
  • Ability to work a hybrid schedule in downtown Denver, CO.
Preferred Qualifications
  • D&C or upstream oil & gas experience strongly preferred.
  • Experience with Open Wells or other well data systems (Landmark, PPDM‑based).
  • Familiarity with oil & gas operational metrics:
    • API numbers, pads,…
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