{"@context":"https://schema.org/","@type":"JobPosting","title":"Data Analyst","description":"Job description:

Role Summary

We are looking for a Data Analyst to support high-volume report migration, data mapping, report generation, and validation for an AWS-based Lakehouse platform in a banking environment. This role focuses on migrating legacy reports into the Lakehouse, primarily using the Redshift-based Data Warehouse, and ensuring that approximately 200–300 business, operational, and regulatory reports meet expected requirements before go-live.

Key Responsibilities

Analyze legacy reports, business rules, data sources, and reporting logic.
Support migration of legacy system reports into the Data Lakehouse and Redshift-based Data Warehouse.
Perform data mapping from source systems to target reporting structures.
Translate business and regulatory requirements into clear report specifications.
Generate business, operational, and regulatory reports using Lakehouse and DWH data.
Validate migrated reports against legacy outputs and business expectations.
Perform data reconciliation, variance analysis, issue investigation, and root cause analysis.
Support dashboard and operational report development for internal use after go-live.
Work closely with business users, data engineers, and regulatory stakeholders to clarify requirements and resolve reporting issues.
Ensure reports are accurate, consistent, complete, and ready for go-live.

Required Skills

Strong SQL and data analysis skills.
Experience with Data Warehouse, data mapping, reporting, and dashboard development.
Experience translating business requirements into data insights and operational reports.
Hands-on experience in report migration, report validation, and reconciliation.
Good understanding of reporting logic, data quality checks, and business rule documentation.
Ability to work with business users and technical teams to clarify data and reporting requirements.
Strong attention to detail and ability to manage high-volume reporting workloads.

Domain Experience

Banking domain experience is preferred.
Experience with regulatory reporting, financial reporting, operational reporting, customer/account reports, transaction reports, risk, AML/KYC, or compliance reports is highly valuable.

Nice to Have

Experience with Redshift, Athena, S3, Glue, Lake Formation, or other AWS data services.
Experience with Power BI, Tableau, Looker, Qlik, or similar BI/reporting tools.
Understanding of Lakehouse architecture, data marts, and reporting data models.
Experience working in Agile delivery teams using Jira and Confluence.

Key Qualifications

Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Finance, Banking, Business Administration, or a related field.
4+ years of experience as a Data Analyst, Reporting Analyst, Business Data Analyst, BI Analyst, or similar role.
Proven experience in data mapping, report migration, data validation, and stakeholder requirement analysis.
Experience in banking, financial services, or regulated industries is an advantage.

(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)

","datePosted":"2026-07-13","hiringOrganization":{"@type":"Organization"},"employmentType":"onsite"}