Position: Business/Data Analyst

Location: NYC/Alpharetta, GA

Duration: 12 months

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