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Data Analyst III

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst III in Spring, TX, on a 1-year contract at a pay rate of "unknown." Key skills include advanced SQL, Python, data visualization tools, and ETL experience, specifically within the Oil & Gas industry.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
March 28, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Spring, TX
🧠 - Skills detailed
#Data Quality #SQL (Structured Query Language) #Tableau #Automation #Datasets #Data Analysis #Data Integration #"ETL (Extract #Transform #Load)" #Pandas #Visualization #API (Application Programming Interface) #Data Cleaning #Data Processing #Data Manipulation #BI (Business Intelligence) #Microsoft Power BI #Python
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

   • Responsible for importing, cleansing, validating, and analyzing data to derive insights and support decision-making.

   • May consolidate and present data in charts, graphs, or tables for reporting purposes.

   • Focused on improving data quality and ensuring consistency across various sources.

   • Minimal work direction needed—must be a highly skilled, independent professional.

   • Recognized expert in the field, possibly holding professional certifications.

Skills and Qualifications:

   • Strong analytical skills with the ability to interpret complex datasets.

   • Excellent verbal and written communication skills.

   • Report generation & data analysis experience.

   • Proficient in MS Office (Excel, PowerPoint, Word).

   • Advanced SQL skills for querying and data manipulation.

   • Python (Pandas) for data cleaning, automation, and analysis.

   • Experience with data visualization tools (Power BI, Tableau).

   • API-driven solutions experience, working with multiple data sources.

   • Experience handling large-scale data (millions of rows in a table).

   • ETL & Data Integration experience with a preference for backend data processing