Data Analyst - III

Woodlands, Texas, United States

Job Reference 1193541

Location Woodlands, Texas, United States

Industry Oil & Gas - Onshore Oil

Function Other

Job Type Contract

Date Added September 1, 2023

Data Analyst III – The Woodlands, TX.

Airswift is an international workforce solutions provider within the energy, process, and infrastructure industries. Airswift serves as a strategic partner to our clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with the unique needs of our clients.  With over 800 employees and 6,000 contractors operating in over 50 countries, our geographical reach and pool of talent available is unmatched in the industry and the level of experience, exposure, and expertise that the organization has is unparalleled.


  • Support in data mining, developing KPI reports, conducting cost analysis and administering various compliance and reporting tools.
  • Utilizing advanced data visualization tools, including Spotfire, Power BI, and SAP, to analyze and transform complex data sets into insightful, interactive dashboards and information.
  • Driving data-driven decision-making across the organization by delivering actionable insights and meaningful Key Performance Indicators (KPIs).
  • Work with stakeholders within GOM Operations reporting through the Operations Excellence team.
• Collaborate with cross-functional teams to understand data requirements, gather insights, and design interactive dashboards that effectively communicate complex information to various stakeholders.
• Utilize advanced skills in Spotfire, Power BI, and SAP to develop visually appealing and user-friendly dashboards that provide real-time insights and facilitate data-driven decision-making.
• Work closely with business stakeholders to define KPIs, metrics, and reporting requirements, ensuring alignment with strategic objectives.
• Extract, clean, transform, and analyze data from various sources to generate accurate and reliable visualizations that uncover trends, patterns, and opportunities.
• Translate technical findings into clear and actionable insights, presenting data-driven recommendations to both technical and non-technical audiences.
• Proactively identify data quality issues, anomalies, and outliers, and take corrective actions to ensure data integrity and accuracy.
• Stay up-to-date with industry trends and best practices related to data visualization, dashboard design, and data analysis techniques.
• Collaborate with data engineering teams to optimize data pipelines and ensure efficient data extraction, transformation, and loading (ETL) processes.
• Contribute to the continuous improvement of data analytics processes, tools, and methodologies within the organization.

  • Bachelor’s degree in business administration, Data Science, Computer Science, Information Systems, Mathematics, Statistics, or a related field. Master's degree a plus. Prior experience in the oil and gas industry, specifically in field operations analysis or a related role, is highly desirable.
  • Minimum of five (5) years’ experience with preferred experience in project engineering, project management, and/or operations & maintenance in the oil and gas industry.
  • Experience in developing or have been part of an organization that practices Operations Excellence, demonstrating clear history of success in a learning organization.
  • Proven experience (10+ years) as a Data Analyst, utilizing Spotfire, Power BI, and SAP for creating sophisticated, interactive dashboards and visualizations
  • Strong proficiency in data extraction, transformation, and loading (ETL) processes, data cleansing, and data preparation.
  • Solid understanding of data analysis techniques, including statistical analysis, data modeling, and hypothesis testing.
  • Familiarity with data governance and best practices for maintaining data quality and security.
  • Proficiency in SQL, Python, or R for data manipulation and analysis is a plus.
  • Certifications in Spotfire, Power BI, or SAP Analytics Cloud are highly desirable.
  • Deep understanding of data analysis techniques, exceptional communication skills, and a passion for tackling challenging data scenarios.


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