Data Analyst
Sterling Life Sciences
Spring, TX, United States
3 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$104,000.0 - $118,560.0
Working hours
Regular working hours
Job source
Tech stack
Data Analysis
Information Engineering
Data Visualization
Python (Programming Language)
Power BI
Data Processing
Sql Optimization
Data Analytics
Spotfire
Databricks
Job description
- 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.
Requirements
- 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., * Strong experience in Upstream Oil & Gas, specifically Drilling & Completions datasets.
- Advanced proficiency in SQL.
- 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.
- Hands-on experience with either Power BI or Spotfire (both preferred)
About the company
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
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