Senior Data Analyst

Responsibilities
• Work with business stakeholders to understand data requirements
• Collaborate with data architects and analysts to develop and maintain data mapping documentation
• Conduct data quality assessments and identify inconsistencies
• Perform root cause analysis on any data issues
• Support data migration and integration projects
• Operate in an Agile product development environment, manage stakeholder requests with clear prioritization, translate complex business needs into technical requirements, and applying a design thinking approach to deliver user-centric, iterative solutions aligned with strategic goals.
• Act as a liaison between business and engineering teams to ensure alignment on solution design, delivery timelines, and business outcomes
• Participate in sprint planning, backlog refinement, and retrospectives, contributing to iterative development cycles
• Create and maintain detailed documentation including user stories, process flows, use cases, and acceptance criteria to support development and testing
• Partner with Product and cross-functional teams to ensure alignment with strategic roadmaps, while proactively integrating testing and validation early in the software development lifecycle (SDLC)
• Coordinate and support user acceptance testing (UAT), track defects, and ensure timely resolution through collaboration with QA and development teams

Required Skills:
• Proven experience as a Data Mapper or in a related role
• Proficiency in SQL, Unix CLI, Excel
• Strong analytical and problem-solving skills
• Proven success in Agile product delivery, stakeholder engagement, and product
development using design thinking to create user-centric financial solutions
• Attention to detail and a commitment to data accuracy
• 3+ years of experience as a business analyst. 

Desired Skills
• Experience applying Generative AI to enhance analysis and user experience
• Dataiku, Tableau, Snowflake
• Understanding of data warehousing concepts
• Knowledge of data governance and compliance standards
• Knowledge of data integration and migration processes