TSR Consulting Services, Inc.
Business Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Analyst with 5-8 years of experience, focusing on SQL, data modeling, and ETL processes. Contract length is "unknown," with a pay rate of "unknown." Location is "remote." Bachelor's degree required; familiarity with Tableau, PySpark, and data governance preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#Databases #Project Management #Data Aggregation #Data Quality #PySpark #Tableau #Data Analysis #Compliance #Data Mapping #SQL (Structured Query Language) #UAT (User Acceptance Testing) #AI (Artificial Intelligence) #Spark (Apache Spark) #Data Pipeline #Airflow #Data Engineering #"ETL (Extract #Transform #Load)" #Jira #GIT #Regression #ML (Machine Learning) #Data Modeling #Scripting #SQL Queries #Data Ingestion #NoSQL #Storage #Visualization #Data Processing
Role description
We are seeking a Data Analyst (C12 Equivalent) to join our team. The candidate will demonstrate strong experience in business and data analysis, SQL, data modeling, and data engineering concepts with a proven ability to deliver accurate insights, optimize data pipelines, and improve data quality and visualization outcomes.
Responsibilities:
• Perform business and data analysis to define requirements and translate them into technical specifications.
• Design, write, and optimize complex SQL queries, including analytical and aggregate functions on views.
• Map data across systems, identify critical data elements, and maintain data assets and models.
• Build and maintain ETL and data pipelines, ensuring data ingestion, storage, processing, and governance meet standards.
• Create dashboards and data visualizations to communicate insights and performance metrics.
• Collaborate across SDLC phases, partnering with cross-functional teams to deliver data solutions.
• Support testing activities including manual, UAT, functional, and regression testing.
• Apply data quality and governance practices to ensure reliability and compliance.
Required Skills & Qualifications:
• 5-8 years of experience in business and data analysis, process improvement, and project management.
• Proficiency in complex SQL, including analytical and aggregate functions on views.
• Hands-on experience with data assets, critical data elements, data mapping, data models, and data aggregation.
• Proficiency in at least one data engineering concept: ETL ingestion, data visualization, storage, querying, processing analysis, or data quality governance.
• Experience across SDLC and familiarity with infrastructure analysis frameworks.
• Knowledge of relational databases and NoSQL databases.
• Experience with PySpark scripting or similar data processing technologies.
• Ability to develop data visualizations and apply analytical and interpretive techniques.
• Strong interpersonal, verbal, and written communication skills.
• Bachelor’s/University degree or equivalent experience.
Preferred Skills:
• Experience with Tableau, PySpark, Airflow, Git, JIRA, and Confluence.
• Experience in data modeling, ETL technologies, and data pipelines.
• AI and machine learning exposure.
• Testing experience across manual, UAT, functional, and regression testing.
We are seeking a Data Analyst (C12 Equivalent) to join our team. The candidate will demonstrate strong experience in business and data analysis, SQL, data modeling, and data engineering concepts with a proven ability to deliver accurate insights, optimize data pipelines, and improve data quality and visualization outcomes.
Responsibilities:
• Perform business and data analysis to define requirements and translate them into technical specifications.
• Design, write, and optimize complex SQL queries, including analytical and aggregate functions on views.
• Map data across systems, identify critical data elements, and maintain data assets and models.
• Build and maintain ETL and data pipelines, ensuring data ingestion, storage, processing, and governance meet standards.
• Create dashboards and data visualizations to communicate insights and performance metrics.
• Collaborate across SDLC phases, partnering with cross-functional teams to deliver data solutions.
• Support testing activities including manual, UAT, functional, and regression testing.
• Apply data quality and governance practices to ensure reliability and compliance.
Required Skills & Qualifications:
• 5-8 years of experience in business and data analysis, process improvement, and project management.
• Proficiency in complex SQL, including analytical and aggregate functions on views.
• Hands-on experience with data assets, critical data elements, data mapping, data models, and data aggregation.
• Proficiency in at least one data engineering concept: ETL ingestion, data visualization, storage, querying, processing analysis, or data quality governance.
• Experience across SDLC and familiarity with infrastructure analysis frameworks.
• Knowledge of relational databases and NoSQL databases.
• Experience with PySpark scripting or similar data processing technologies.
• Ability to develop data visualizations and apply analytical and interpretive techniques.
• Strong interpersonal, verbal, and written communication skills.
• Bachelor’s/University degree or equivalent experience.
Preferred Skills:
• Experience with Tableau, PySpark, Airflow, Git, JIRA, and Confluence.
• Experience in data modeling, ETL technologies, and data pipelines.
• AI and machine learning exposure.
• Testing experience across manual, UAT, functional, and regression testing.
