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Business Analyst/Tester

We are seeking a Business Analyst/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

  • 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
  • Accounting skills is a big plus

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.