

PTR Global
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst – IT III position for a major U.S. airline, offering a 6-month W2 contract at a pay rate of "Unknown." Located in Chicago, IL (Hybrid), it requires 5+ years of experience, expert SQL skills, and strong knowledge of Quantum Metrics.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 14, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Stories #Data Analysis #Data Mining #Dynatrace #Microsoft Power BI #Leadership #Computer Science #Data Manipulation #Python #Spotfire #BI (Business Intelligence) #Tableau #Visualization #Datasets #SQL (Structured Query Language) #Data Accuracy
Role description
Data Analyst – IT III (W2 Contract)
📍 Location: Chicago, IL (Hybrid – Willis Tower) HYBRID: 2 days remote (currently Tues and Weds). This may change based on direction from leadership.
⏳ Duration: 6 months (possible extension)
💼 Client: Major U.S. Airline
🔎 Project: Digital Technology – Product Analytics Team
About the Role
We are seeking a highly analytical and self-driven Data Analyst – IT III to join the Digital Technology Product Analytics team. This role is ideal for someone who thrives in ambiguity, can independently identify opportunities, and enjoys working with large-scale datasets to drive business insights. You will work closely with product stakeholders to uncover trends, influence decisions, and tell stories through data—without relying on predefined user requirements.
Key Responsibilities
• Analyze large and complex datasets to identify trends, issues, and optimization opportunities.
• Ensure data accuracy, completeness, and consistency across all platforms.
• Develop, automate, and optimize large datasets for analysis and reporting.
• Conduct exploratory data analysis, data mining, and build visualizations to support business decisions.
• Work independently to propose ideas, solve evolving business problems, and act as a thought leader.
• Apply tools such as SQL, Quantum Metrics, and BI platforms to deliver actionable insights.
Required Qualifications
• Bachelor’s degree in Computer Science, Business, or related field.
• 5+ years of experience in Data Analytics, BI Development, or similar analytical roles.
• Expert-level SQL experience working with large datasets (400M+ rows per day).
• Strong analytical, problem-solving, and data manipulation skills.
• Experience with data visualization tools (Power BI, Tableau, Spotfire, Excel).
• Ability to work independently with minimal supervision.
• Excellent communication skills to present complex insights to diverse stakeholders.
• Experience with Quantum Metrics is strongly preferred.
• Experience with Akamai, Dynatrace, or Python is a plus.
Top 5 Skills for Success
1. Highly analytical and comfortable working in ambiguity
1. Expert SQL with experience handling very large datasets
1. Strong experience with Quantum Metrics
1. Independent, self-starter mindset
1. Ability to lead ideas without receiving direct requirements
Work Schedule & Location
• Hybrid: 3 days onsite in Chicago (currently Tues & Wed remote—subject to change)
• Standard business hours (Chicago time)
• Travel: 0%
Interview Process
• 2 rounds:
• Round 1: Virtual
• Round 2: In-person (depending on candidate)
• No portfolio required
Feedback expected within 48 hours for selected candidates
Data Analyst – IT III (W2 Contract)
📍 Location: Chicago, IL (Hybrid – Willis Tower) HYBRID: 2 days remote (currently Tues and Weds). This may change based on direction from leadership.
⏳ Duration: 6 months (possible extension)
💼 Client: Major U.S. Airline
🔎 Project: Digital Technology – Product Analytics Team
About the Role
We are seeking a highly analytical and self-driven Data Analyst – IT III to join the Digital Technology Product Analytics team. This role is ideal for someone who thrives in ambiguity, can independently identify opportunities, and enjoys working with large-scale datasets to drive business insights. You will work closely with product stakeholders to uncover trends, influence decisions, and tell stories through data—without relying on predefined user requirements.
Key Responsibilities
• Analyze large and complex datasets to identify trends, issues, and optimization opportunities.
• Ensure data accuracy, completeness, and consistency across all platforms.
• Develop, automate, and optimize large datasets for analysis and reporting.
• Conduct exploratory data analysis, data mining, and build visualizations to support business decisions.
• Work independently to propose ideas, solve evolving business problems, and act as a thought leader.
• Apply tools such as SQL, Quantum Metrics, and BI platforms to deliver actionable insights.
Required Qualifications
• Bachelor’s degree in Computer Science, Business, or related field.
• 5+ years of experience in Data Analytics, BI Development, or similar analytical roles.
• Expert-level SQL experience working with large datasets (400M+ rows per day).
• Strong analytical, problem-solving, and data manipulation skills.
• Experience with data visualization tools (Power BI, Tableau, Spotfire, Excel).
• Ability to work independently with minimal supervision.
• Excellent communication skills to present complex insights to diverse stakeholders.
• Experience with Quantum Metrics is strongly preferred.
• Experience with Akamai, Dynatrace, or Python is a plus.
Top 5 Skills for Success
1. Highly analytical and comfortable working in ambiguity
1. Expert SQL with experience handling very large datasets
1. Strong experience with Quantum Metrics
1. Independent, self-starter mindset
1. Ability to lead ideas without receiving direct requirements
Work Schedule & Location
• Hybrid: 3 days onsite in Chicago (currently Tues & Wed remote—subject to change)
• Standard business hours (Chicago time)
• Travel: 0%
Interview Process
• 2 rounds:
• Round 1: Virtual
• Round 2: In-person (depending on candidate)
• No portfolio required
Feedback expected within 48 hours for selected candidates






