

Matlen Silver
Data Analyst- Sr. {Chicago, IL-Hybrid or #2Mclean, VA}
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst on a contract basis in Chicago, IL (Hybrid), requiring a Bachelor's degree in Computer Science or related field. Key skills include Python, SQL, AWS, Snowflake, and dashboarding tools.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
April 28, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
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π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Chicago, IL
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π§ - Skills detailed
#Scripting #Data Processing #Tableau #Unix #Linux #AWS (Amazon Web Services) #Data Pipeline #Automation #Shell Scripting #Visualization #Microsoft Power BI #Cloud #Data Manipulation #Data Quality #Databricks #S3 (Amazon Simple Storage Service) #AWS S3 (Amazon Simple Storage Service) #Data Governance #Jupyter #Agile #Data Extraction #Snowflake #Python #PySpark #Computer Science #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Security #Spark (Apache Spark) #Data Analysis #Scala #BI (Business Intelligence)
Role description
Job Title: Data Analyst (Contract)
Location: Chicago, IL- Hybrid
Overview:
We are seeking a skilled Data Analyst for a contract engagement based in Chicago. This role will focus on building, optimizing, and maintaining data pipelines and supporting analytics initiatives. The ideal candidate is comfortable working with modern data tools and cloud platforms, and can efficiently handle large-scale data processing and reporting needs.
Required Qualifications:
β’ Bachelorβs degree in Computer Science, Engineering, or a related field
Technical Requirements:
β’ Python / PySpark: Hands-on experience using Databricks or Jupyter Notebooks for data processing and analysis
β’ SQL: Strong proficiency in data manipulation, querying, and retrieval
β’ AWS (S3): Experience consuming and managing data in S3 environments
β’ Snowflake: Practical experience with cloud-based data warehousing
β’ Linux/Unix: Working knowledge of shell scripting for automation and navigation
β’ Dashboarding Tools: Experience with at least one visualization/reporting tool such as Tableau, Power BI, or QuickSight
Responsibilities:
β’ Develop and maintain scalable data pipelines
β’ Perform data extraction, transformation, and loading (ETL) processes
β’ Collaborate with cross-functional teams to support data-driven decision making
β’ Create and maintain dashboards and reports for stakeholders
β’ Ensure data quality, integrity, and performance optimization
Preferred Skills (Nice to Have):
β’ Experience working in agile environments
β’ Familiarity with data governance and security best practices
Job Title: Data Analyst (Contract)
Location: Chicago, IL- Hybrid
Overview:
We are seeking a skilled Data Analyst for a contract engagement based in Chicago. This role will focus on building, optimizing, and maintaining data pipelines and supporting analytics initiatives. The ideal candidate is comfortable working with modern data tools and cloud platforms, and can efficiently handle large-scale data processing and reporting needs.
Required Qualifications:
β’ Bachelorβs degree in Computer Science, Engineering, or a related field
Technical Requirements:
β’ Python / PySpark: Hands-on experience using Databricks or Jupyter Notebooks for data processing and analysis
β’ SQL: Strong proficiency in data manipulation, querying, and retrieval
β’ AWS (S3): Experience consuming and managing data in S3 environments
β’ Snowflake: Practical experience with cloud-based data warehousing
β’ Linux/Unix: Working knowledge of shell scripting for automation and navigation
β’ Dashboarding Tools: Experience with at least one visualization/reporting tool such as Tableau, Power BI, or QuickSight
Responsibilities:
β’ Develop and maintain scalable data pipelines
β’ Perform data extraction, transformation, and loading (ETL) processes
β’ Collaborate with cross-functional teams to support data-driven decision making
β’ Create and maintain dashboards and reports for stakeholders
β’ Ensure data quality, integrity, and performance optimization
Preferred Skills (Nice to Have):
β’ Experience working in agile environments
β’ Familiarity with data governance and security best practices






