

Agile Resources, Inc.
Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst on an 18-month contract, hybrid in Atlanta, paying $45-$50/hr. Requires 3+ years in business intelligence, proficiency in SQL, SAS, and cloud platforms (AWS, GCP, Azure), focusing on data forensics and quality.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
360
-
ποΈ - Date
July 16, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
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π - Security
Unknown
-
π - Location detailed
Alpharetta, GA
-
π§ - Skills detailed
#SQL (Structured Query Language) #Data Lineage #Databases #BI (Business Intelligence) #Data Analysis #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Data Integration #SAS #"ETL (Extract #Transform #Load)" #Migration #Azure #Cloud #Python #Data Migration #Data Quality
Role description
Location: Hybrid with 3 Days per Week Onsite in Atlanta
Type: 18-Month Contract
Compensation: $45/hr - $50/hr W2
β’ This role is not open to sponsorship or third parties
β’ We are partnering with a global FinTech leader to find a skilled, self-starting Data Analyst who excels at data forensics and integration. In this role, youβll have the opportunity to play a critical role in shaping high-quality databases, translating complex data into actionable business rules, and collaborating across diverse teams.
Hereβs What Youβll Be Doing
β’ Investigating older legacy databases to trace information pathways and ensure new data flows seamlessly into production platforms without disruption.
β’ Authoring clear business requirements and operational rules to guide database development and ensure top-tier data hygiene.
β’ Building rigorous testing protocols and acceptance guidelines to verify that database updates and files meet strict accuracy benchmarks.
β’ Acting as the bridge across departments to troubleshoot, coordinate, and resolve client-facing data quality issues.
Hereβs What Our Ideal Candidate Has
β’ 3+ years of hands-on experience in business intelligence, modeling, or statistical analysis, with a focus on ensuring Data Quality.
β’ Deep proficiency utilizing tools like SQL, SAS, ETL workflows, or other database technologies to manipulate and analyze information.
β’ Experience working with major cloud ecosystems such as AWS, Google Cloud Platform (GCP), or Azure.
β’ Familiarity with Python will be a plus.
Benefits: Medical, Dental, Vision, 401K
Keywords
Data Analyst, Database Forensics, SQL Developer, ETL Analyst, Business Intelligence, Data Quality Specialist, Cloud Data Migration, AWS Azure GCP, Data Lineage, SAS Analyst, Data Integration Engineer, Business Rules Analyst
Location: Hybrid with 3 Days per Week Onsite in Atlanta
Type: 18-Month Contract
Compensation: $45/hr - $50/hr W2
β’ This role is not open to sponsorship or third parties
β’ We are partnering with a global FinTech leader to find a skilled, self-starting Data Analyst who excels at data forensics and integration. In this role, youβll have the opportunity to play a critical role in shaping high-quality databases, translating complex data into actionable business rules, and collaborating across diverse teams.
Hereβs What Youβll Be Doing
β’ Investigating older legacy databases to trace information pathways and ensure new data flows seamlessly into production platforms without disruption.
β’ Authoring clear business requirements and operational rules to guide database development and ensure top-tier data hygiene.
β’ Building rigorous testing protocols and acceptance guidelines to verify that database updates and files meet strict accuracy benchmarks.
β’ Acting as the bridge across departments to troubleshoot, coordinate, and resolve client-facing data quality issues.
Hereβs What Our Ideal Candidate Has
β’ 3+ years of hands-on experience in business intelligence, modeling, or statistical analysis, with a focus on ensuring Data Quality.
β’ Deep proficiency utilizing tools like SQL, SAS, ETL workflows, or other database technologies to manipulate and analyze information.
β’ Experience working with major cloud ecosystems such as AWS, Google Cloud Platform (GCP), or Azure.
β’ Familiarity with Python will be a plus.
Benefits: Medical, Dental, Vision, 401K
Keywords
Data Analyst, Database Forensics, SQL Developer, ETL Analyst, Business Intelligence, Data Quality Specialist, Cloud Data Migration, AWS Azure GCP, Data Lineage, SAS Analyst, Data Integration Engineer, Business Rules Analyst






