We are seeking a UAT Tester to support data-driven initiatives within a fast-paced financial services environment. This role is ideal for candidates with strong analytical skills, hands-on SQL experience, and an interest in working with financial data and business processes.
The ideal candidate will help analyze datasets, generate insights, support reporting initiatives, and collaborate with cross-functional teams to improve operational and business performance.
Qualifications
-
Master’s degree in Business Analytics, Data Analytics, Finance, Information Systems, Computer Science, Economics, or related field
-
1–2 years of professional experience as a Business Analyst, Data Analyst, or similar analytical role
-
Strong SQL skills with experience writing queries, analyzing datasets, and generating reports
-
Understanding of financial services, banking, mortgage, or related financial business domains
-
Strong analytical, problem-solving, and communication skills
-
Experience gathering business requirements and translating them into data-driven insights
-
Proficiency with Excel and data visualization/reporting tools is preferred
Preferred Skills
-
Experience with Python for data analysis or automation
-
Exposure to AWS cloud services or cloud-based data environments
-
Understanding of Agile or Scrum environments
-
Familiarity with ETL processes, dashboards, or BI tools such as Tableau or Power BI
Responsibilities
-
Analyze business and financial datasets to uncover trends, identify issues, and highlight opportunities for improvement.
-
Develop and optimize SQL queries to support reporting, data extraction, and validation activities.
-
Partner with stakeholders to gather business requirements, provide analytical insights, and support informed decision-making.
-
Design and generate reports, dashboards, and data summaries for business users and executive leadership.
-
Perform data quality assessments and investigate data inconsistencies to ensure accuracy and reliability.
-
Contribute to process improvement initiatives aimed at enhancing operational efficiency and effectiveness.
