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Senior Data Analyst
Raise
- Spring, Texas, United States
- Spring, Texas, United States
À propos
Contract Length: 12 months
Location: Spring, TX 77389 (Onsite)
Overview We are seeking a highly skilled Data Analyst with strong experience in the Upstream Oil & Gas domain, specifically within Drilling & Completions datasets.
This role is responsible for transforming raw data into actionable insights through advanced data analysis, reporting, and visualization.
The ideal candidate will have expertise in SQL and either Power BI or Spotfire (experience in both is a strong plus), along with a strong foundation in data handling and quality improvement.
This is a senior-level contractor role requiring minimal supervision and a high degree of technical proficiency and business acumen.
Responsibilities
Import, cleanse, validate, and analyze large and complex datasets from upstream oil & gas operations
Interpret data to identify trends, insights, and opportunities to improve operational performance
Design and develop data visualizations, dashboards, and reports using Power BI and/or Spotfire
Consolidate and present findings through charts, graphs, and tables for business stakeholders
Ensure data accuracy and integrity while continuously improving data quality processes
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Utilize advanced SQL to extract, manipulate, and analyze structured datasets
Support data engineering and analytics workflows when needed (Databricks, Python – if applicable)
Communicate insights clearly through both written reports and verbal presentations
Required Qualifications
Strong experience in Upstream Oil & Gas, specifically Drilling & Completions datasets
Advanced proficiency in SQL
Hands-on experience with either Power BI or Spotfire (both preferred)
Strong analytical, problem-solving, and data interpretation skills
Excellent verbal and written communication skills
Proven experience in report generation and data analysis
Proficiency in Microsoft Office tools
Preferred Qualifications
Experience with Databricks and/or Python
Background in data engineering or workflow automation
Professional certifications in data analytics or related fields
Equal Opportunity Employer We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer: https://raise.jobs/accommodations/
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Compétences linguistiques
- English
Avis aux utilisateurs
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