Seneca Resources
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a 6+ year requirement in T-SQL, SSIS, data profiling, and metadata management. The contract is for "X months," with a pay rate of "$Y/hour," located remotely. A Bachelor's degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 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
Montgomery, AL
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🧠 - Skills detailed
#AI (Artificial Intelligence) #SQL Server #Data Profiling #Data Science #Metadata #SSIS (SQL Server Integration Services) #ML (Machine Learning) #Microsoft Power BI #"ETL (Extract #Transform #Load)" #Documentation #Tableau #BI (Business Intelligence) #Data Analysis #Deployment #Data Quality #Computer Science #Statistics #SQL (Structured Query Language) #Debugging #Data Architecture #Data Management
Role description
Establish, advance, and mature data quality and governance capabilities in a greenfield, low maturity data environment. Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture. Drive long term improvement of data standards, definitions, lineage, and quality processes.
Required Skillset
Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
6 + Years: Advanced T SQL, SQL Server development, debugging, and performance tuning.
6 + Years: SSIS development, deployment, and troubleshooting
6 + Years: Data profiling, validation rule design, quality scoring, and measurement techniques.
6 + Years: Metadata management and lineage documentation.
6 + Years: Reporting and dashboarding with Power BI, Tableau, or similar tools.
6 + Years: Strong documentation and communication skills.
Establish, advance, and mature data quality and governance capabilities in a greenfield, low maturity data environment. Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture. Drive long term improvement of data standards, definitions, lineage, and quality processes.
Required Skillset
Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
6 + Years: Advanced T SQL, SQL Server development, debugging, and performance tuning.
6 + Years: SSIS development, deployment, and troubleshooting
6 + Years: Data profiling, validation rule design, quality scoring, and measurement techniques.
6 + Years: Metadata management and lineage documentation.
6 + Years: Reporting and dashboarding with Power BI, Tableau, or similar tools.
6 + Years: Strong documentation and communication skills.
