Data Analyst II

Airswift

Denver (CO)

Hybrid

USD 80,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Dental
Health
Vision
401(k)

Job summary

Airswift is seeking a Senior Data Analyst in Denver, CO to transform operational data into actionable insights. In this hybrid role, you will work with drilling and completions teams, delivering analytics and automated reporting solutions for decision-making.

The ideal candidate must have 3+ years of experience in data analysis, strong SQL skills, and proficiency in Power BI. The position offers competitive benefits and the chance to work on critical business operations.

Qualifications

  • 3+ years of experience as a Data Analyst or similar role.
  • 2+ years experience writing complex SQL queries.
  • Hands-on experience with Power BI and/or Spotfire dashboards.

Responsibilities

  • Extract and analyze complex datasets for strategic decision-making.
  • Build and maintain Power BI dashboards for stakeholders.
  • Design automation solutions for business processes.

Skills

SQL
Business Intelligence
Data Analysis
Power BI
Excel

Education

Bachelor's degree in Engineering, Computer Science, Data Science, Finance, or a related field

Tools

SQL Server Management Studio
Git
Azure DevOps
Microsoft Excel

Job description

Location: Denver, CO | Schedule: 9/80 (Hybrid) | Type: W2 Contract (C2C not available) | Duration: 6 months, potential extension | Benefits: Dental, Health, Vision & 401(k) | This position does not offer relocation assistance.

About the Role

We are seeking a Senior Data Analyst to support a Drilling & Completions (D&C) organization by transforming complex operational data into actionable insights that drive efficiency, performance, and capital optimization. In this role, you will partner with engineering, operations, and leadership teams to deliver analytics, dashboards, and automated reporting solutions that support critical business decisions. The ideal candidate is a self-starter with strong SQL and BI expertise, exceptional problem‑solving skills, and the ability to communicate complex data insights to both technical and executive stakeholders.

Key Responsibilities
  • Data Analysis & Insights
    • Extract, analyze, and interpret complex datasets to support strategic decision‑making.
    • Develop and maintain SQL queries against enterprise and operational data systems.
    • Analyze drilling and completions performance, schedules, costs, and operational KPIs.
    • Translate technical findings into actionable business recommendations.
    • Identify trends, risks, and opportunities to improve operational performance.
  • Dashboard Development & Visualization
    • Build, maintain, and enhance Power BI and/or Spotfire dashboards.
    • Create intuitive visualizations for technical and non‑technical stakeholders.
    • Troubleshoot reporting issues and optimize dashboard performance.
    • Ensure reporting solutions align with enterprise business intelligence standards.
    • Support ongoing reporting and data visualization initiatives.
  • Process Automation & Optimization
    • Design and implement automation solutions to streamline business processes.
    • Identify repetitive manual workflows and improve efficiency through automation.
    • Develop reusable SQL scripts, stored procedures, and data pipelines.
    • Continuously evaluate opportunities to optimize reporting and analytics processes.
  • Collaboration & Stakeholder Support
    • Partner closely with D&C engineers, operations teams, and business stakeholders.
    • Collaborate with data engineers, data scientists, and IT teams.
    • Provide timely support for ad‑hoc analysis and reporting requests.
    • Document data definitions, business logic, and reporting methodologies.
    • Serve as a trusted advisor for data‑driven decision‑making.
  • Data Quality & Governance
    • Develop data validation processes and perform ongoing quality control reviews.
    • Monitor data integrity and proactively identify anomalies or inconsistencies.
    • Support master data management initiatives across operational assets and well data.
    • Promote best practices in data governance and reporting accuracy.
Required Qualifications
  • Experience: 3+ years as a Data Analyst, Business Intelligence Analyst, or similar role.
  • 2+ years of experience writing complex SQL queries in production environments.
  • 2+ years of hands‑on experience building and maintaining Power BI and/or Spotfire dashboards.
  • Experience supporting operations, engineering, or field teams in a data‑intensive environment.
  • Technical Skills
    • Advanced SQL skills, including: Common Table Expressions (CTEs), Subqueries, Joins, Aggregations, Window functions, String manipulation.
    • Proficiency with Power BI (preferred) or Spotfire.
    • Strong understanding of relational databases and data modeling concepts.
    • Advanced Microsoft Excel skills for analysis and reporting.
    • Experience with version control tools such as Git or Azure DevOps.
  • Analytical & Problem‑Solving Skills
    • Strong analytical, troubleshooting, and critical‑thinking abilities.
    • Ability to transform large, complex datasets into meaningful business insights.
    • Exceptional attention to detail and commitment to data accuracy.
    • Comfortable working with ambiguity and evolving business requirements.
  • Communication & Collaboration
    • Excellent communication, presentation, and data storytelling skills.
    • Ability to communicate effectively with stakeholders at all organizational levels, including executive leadership.
    • Strong collaboration skills across technical and business teams.
    • Self‑motivated with the ability to manage multiple priorities and deadlines.
  • Bachelor's degree in Engineering, Computer Science, Data Science, Finance, or a related field.
  • Work location: Ability to work a hybrid schedule in Downtown Denver, Colorado.
Preferred Qualifications
  • Drilling & Completions knowledge and/or upstream oil & gas industry experience.
  • Experience with well data management platforms such as OpenWells, Landmark, PPDM‑based applications, or similar systems.
  • Understanding of oil & gas operational metrics, including: Well‑level data (API numbers, pads, formations, lateral lengths), Drilling metrics (spud dates, drill days, directional surveys), Completion metrics (stages, proppant volumes, pumping schedules, frac timelines).
  • Programming experience in Python and/or R.
  • Experience with Microsoft Power Platform (Power Automate, Power Apps).
  • Experience working with cloud platforms such as Azure or AWS.
What You’ll Work With
  • Stakeholders
    • Drilling & Completions Teams
    • Operations Teams
    • Field Personnel
    • Business Units
    • Regulatory Teams
    • Health, Safety & Environment (HSE) Systems & Data
    • Enterprise operational and financial data systems
    • Well data management systems
    • Operational reporting platforms
    • Business Intelligence Tools (Power BI, Spotfire)
    • Data Types (Drilling and completions data, well timelines, milestone tracking, operational performance metrics, cost and capital performance data)
  • Tools & Technologies
    • SQL Server Management Studio (SSMS)
    • SQL Query Tools
    • Power BI
    • Spotfire
    • Microsoft Excel
    • Git
    • Azure DevOps
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