

Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst III in Spring, TX, for a 1-year contract at a pay rate of "unknown." Key skills include advanced SQL, Python (Pandas), and experience with data visualization tools. O&G industry experience is preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Spring, TX
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π§ - Skills detailed
#API (Application Programming Interface) #Data Integration #Data Processing #Visualization #Automation #Data Analysis #Pandas #"ETL (Extract #Transform #Load)" #Microsoft Power BI #Data Cleaning #SQL (Structured Query Language) #Data Manipulation #Data Quality #Datasets #BI (Business Intelligence) #Python #Tableau
Role description
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Our major Oil & Gas (O&G) client is seeking a Data Analyst III to join their team in Spring, TX for a 1-year assignment.
Main Functions:
β’ Responsible for importing, cleansing, validating, and analyzing data to derive insights and support decision-making.
β’ May consolidate and present data in charts, graphs, or tables for reporting purposes.
β’ Focused on improving data quality and ensuring consistency across various sources.
β’ Minimal work direction neededβmust be a highly skilled, independent professional.
β’ Recognized expert in the field, possibly holding professional certifications.
Skills and Qualifications:
β’ Strong analytical skills with the ability to interpret complex datasets.
β’ Excellent verbal and written communication skills.
β’ Report generation & data analysis experience.
β’ Proficient in MS Office (Excel, PowerPoint, Word).
β’ Advanced SQL skills for querying and data manipulation.
β’ Python (Pandas) for data cleaning, automation, and analysis.
β’ Experience with data visualization tools (Power BI, Tableau).
β’ API-driven solutions experience, working with multiple data sources.
β’ Experience handling large-scale data (millions of rows in a table).
β’ ETL & Data Integration experience with a preference for backend data processing