We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.
Responsibilities:
- Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
- Analyze complex Capital Markets data and business processes across multiple businesses and systems.
- Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
- Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
- Support design and solution-related activities for complex, multi-business, multi-system initiatives.
- Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
- Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
- Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.
Qualifications Required:
- 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
- Strong hands-on experience with SQL and Python.
- Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
- Excellent analytical, problem-solving, and business data analysis skills.
- Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
- Strong experience working in Agile/Scrum environments and using Jira.
- Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.
Preferred Qualifications:
- Experience in Banking or Financial Services.