

System One
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position in Pensacola, FL, for a contract duration with a hybrid work model. Requires 2-5 years of data analysis experience, proficiency in SQL, Python, or R, and a Bachelor's in a quantitative field.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pensacola, FL
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🧠 - Skills detailed
#Python #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Analysis #Data Science #Data Accuracy #Data Quality #UAT (User Acceptance Testing) #Documentation #Data Manipulation #Statistics #Mathematics #Compliance #R #Visualization #Scripting #Data Cleaning #Data Governance
Role description
Job Title: Data Analyst
Location: Pensacola, FL
Type: Contract
Work Model: Hybrid – onsite and remote
Responsibilities
• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with senior staff to communicate findings and insight to stakeholders
• Collaborate with team members and participate in team projects and initiatives
• Provide data research and write data queries for smaller analytics projects
Requirements
• 2-5 years of experience in data analysis and reporting
• Basic understanding of business and operating environment
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with analytical techniques required for data usage and data cleaning
• Skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel)
• Knowledge of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
#M-
Ref: #851-Rockville-S1
Job Title: Data Analyst
Location: Pensacola, FL
Type: Contract
Work Model: Hybrid – onsite and remote
Responsibilities
• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with senior staff to communicate findings and insight to stakeholders
• Collaborate with team members and participate in team projects and initiatives
• Provide data research and write data queries for smaller analytics projects
Requirements
• 2-5 years of experience in data analysis and reporting
• Basic understanding of business and operating environment
• Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools
• Effective skill with analytical techniques required for data usage and data cleaning
• Skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel)
• Knowledge of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
#M-
Ref: #851-Rockville-S1






