Lorven Technologies Inc.
Technical Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Data Analyst with a contract length of "X months," offering a pay rate of "$X per hour." Key skills include SQL, Informatica PowerCenter, data modeling, and experience in data quality, UAT, and data mapping.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 7, 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
Atlanta Metropolitan Area
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🧠 - Skills detailed
#Data Mapping #Regression #"ETL (Extract #Transform #Load)" #Datasets #Data Modeling #Informatica #Metadata #Data Management #UAT (User Acceptance Testing) #Data Profiling #Anomaly Detection #Data Quality #BI (Business Intelligence) #Informatica PowerCenter #Data Engineering #Documentation #SQL (Structured Query Language) #Data Analysis
Role description
SQL, data modeling, Informatica Powercenter
Key Responsibilities
1. Data Requirements & Mapping:
1. Translate business rules into clear data requirements, develop data mapping specifications, and validate source-to-target transformations for BI and analytics use cases.
1. Data Quality & Validation:
1. Perform detailed data profiling, quality checks, anomaly detection, regression comparison, and sign‑offs to ensure accuracy, consistency, and readiness of datasets.
1. Source System & Pipeline Analysis:
1. Understand upstream systems, staging layers, and ingestion pipelines; troubleshoot data issues and partner with engineering teams to ensure smooth data flow across environments.
1. Functional Testing & UAT Support:
1. Design and execute test cases, support User Acceptance Testing, validate outputs against business expectations, and document results and defects.
1. Documentation & Metadata Management:
1. Produce clear documentation including data dictionaries, transformation logic, lineage diagrams, and functional requirements for cross-team transparency.
1. Cross‑Team Collaboration:
1. Work closely with Data Engineering, Platform, BI, QA, and Product teams to resolve issues, clarify requirements, and ensure alignment across delivery milestones.
1. Analytics & Reporting Readiness:
1. Analyze data readiness for dashboards and KPIs, support metric validation, and ensure BI teams receive clean, trusted, and well-understood datasets.
SQL, data modeling, Informatica Powercenter
Key Responsibilities
1. Data Requirements & Mapping:
1. Translate business rules into clear data requirements, develop data mapping specifications, and validate source-to-target transformations for BI and analytics use cases.
1. Data Quality & Validation:
1. Perform detailed data profiling, quality checks, anomaly detection, regression comparison, and sign‑offs to ensure accuracy, consistency, and readiness of datasets.
1. Source System & Pipeline Analysis:
1. Understand upstream systems, staging layers, and ingestion pipelines; troubleshoot data issues and partner with engineering teams to ensure smooth data flow across environments.
1. Functional Testing & UAT Support:
1. Design and execute test cases, support User Acceptance Testing, validate outputs against business expectations, and document results and defects.
1. Documentation & Metadata Management:
1. Produce clear documentation including data dictionaries, transformation logic, lineage diagrams, and functional requirements for cross-team transparency.
1. Cross‑Team Collaboration:
1. Work closely with Data Engineering, Platform, BI, QA, and Product teams to resolve issues, clarify requirements, and ensure alignment across delivery milestones.
1. Analytics & Reporting Readiness:
1. Analyze data readiness for dashboards and KPIs, support metric validation, and ensure BI teams receive clean, trusted, and well-understood datasets.
