

Horizontal Talent
Sr Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst with a contract length of "unknown," offering a pay rate of "unknown," and is fully remote. Requires 5+ years in data engineering, proficiency in Azure Data Factory, ETL development, and relational databases.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 28, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Eden Prairie, MN
-
🧠 - Skills detailed
#ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #Data Analysis #SQL Server #Snowflake #AI (Artificial Intelligence) #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #Scripting #Shell Scripting #Deployment #Informatica PowerCenter #Data Management #Data Pipeline #Azure #Data Warehouse #Informatica #FHIR (Fast Healthcare Interoperability Resources) #Batch #Data Engineering #Data Quality #Python #Data Modeling #Oracle #Databases #Azure Data Factory
Role description
We are seeking a talented and motivated Sr. Data Analyst to join our dynamic team. This role offers a unique opportunity to work remotely while contributing to impactful projects in the data management space.
Responsibilities
• Develop and maintain effective working relationships with various departments to coordinate and interface work.
• Collaborate with ETL architects to transform data according to end-user needs and business processes.
• Design and implement automated ETL flows while investigating and resolving issues within ETL pipelines.
• Create and optimize data pipelines using Azure Data Factory and Snowflake.
• Conduct root cause analysis and testing of ETL systems, ensuring data quality and performance optimization.
• Document implementations and build deployment documents for CI/CD processes.
Skills
• 5+ years of experience in data engineering with a focus on data warehousing.
• Proficiency in creating pipelines using Azure Data Factory.
• Strong background in ETL development using tools like Informatica PowerCenter and SSIS.
• Experience with relational databases, including Oracle, Snowflake, and SQL Server.
• Ability to analyze project requirements and develop detailed specifications for ETL processes.
Preferred Skills
• Experience with batch or PowerShell scripting and Python scripting.
• Familiarity with data modeling in a data warehouse environment.
• Knowledge of HL7 and FHIR standards.
• Azure certifications related to data engineering or analytics.
We value diversity, equity, and inclusion, and encourage individuals from all backgrounds to apply. Our commitment to creating an inclusive environment is reflected in our hiring practices and workplace culture.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
We are seeking a talented and motivated Sr. Data Analyst to join our dynamic team. This role offers a unique opportunity to work remotely while contributing to impactful projects in the data management space.
Responsibilities
• Develop and maintain effective working relationships with various departments to coordinate and interface work.
• Collaborate with ETL architects to transform data according to end-user needs and business processes.
• Design and implement automated ETL flows while investigating and resolving issues within ETL pipelines.
• Create and optimize data pipelines using Azure Data Factory and Snowflake.
• Conduct root cause analysis and testing of ETL systems, ensuring data quality and performance optimization.
• Document implementations and build deployment documents for CI/CD processes.
Skills
• 5+ years of experience in data engineering with a focus on data warehousing.
• Proficiency in creating pipelines using Azure Data Factory.
• Strong background in ETL development using tools like Informatica PowerCenter and SSIS.
• Experience with relational databases, including Oracle, Snowflake, and SQL Server.
• Ability to analyze project requirements and develop detailed specifications for ETL processes.
Preferred Skills
• Experience with batch or PowerShell scripting and Python scripting.
• Familiarity with data modeling in a data warehouse environment.
• Knowledge of HL7 and FHIR standards.
• Azure certifications related to data engineering or analytics.
We value diversity, equity, and inclusion, and encourage individuals from all backgrounds to apply. Our commitment to creating an inclusive environment is reflected in our hiring practices and workplace culture.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.






