Data Analyst
Job Description
Data Analyst
Location: Hybrid with 3 Days per Week Onsite in Atlanta
Type: 18-Month Contract
Compensation: $45/hr - $50/hr W2
*This role is not open to sponsorship or third parties*
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, you’ll 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.
Here’s what you’ll be doing:
Here’s what our ideal candidate has:
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
#LI-LS1
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Location: Hybrid with 3 Days per Week Onsite in Atlanta
Type: 18-Month Contract
Compensation: $45/hr - $50/hr W2
*This role is not open to sponsorship or third parties*
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, you’ll 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.
Here’s what you’ll be doing:
- Investigating older legacy databases to trace information pathways and ensure new data flows seamlessly into production platforms without disruption.
- Authoring clear business requirements and operational rules to guide database development and ensure top-tier data hygiene.
- Building rigorous testing protocols and acceptance guidelines to verify that database updates and files meet strict accuracy benchmarks.
- Acting as the bridge across departments to troubleshoot, coordinate, and resolve client-facing data quality issues.
Here’s what our ideal candidate has:
- 3+ years of hands-on experience in business intelligence, modeling, or statistical analysis, with a focus on ensuring Data Quality.
- Deep proficiency utilizing tools like SQL, SAS, ETL workflows, or other database technologies to manipulate and analyze information.
- Experience working with major cloud ecosystems such as AWS, Google Cloud Platform (GCP), or Azure.
- 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
#LI-LS1
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