Digital Client Services - Product Associate

You are a strategic thinker passionate about driving solutions through data, analytics, and client-focused innovation. You thrive in fast-paced environments, enjoy solving complex business challenges, and are energized by working across business, operations, technology, and AI/ML teams. As a Business Analyst within our Digital Client Services (DCS) Product Team , you will spend each day defining, refining, and delivering data-driven products that improve operational performance and client experience. You will play a key role in the development of SONIC , our client analytics platform, by partnering with stakeholders to transform data into actionable insights and measurable business outcomes.

Partner with business and data owners to identify, define, and deliver key metrics that measure operational performance and client experience. Gather, analyze, and document business requirements, processes, risks, issues, and data flows to support product delivery. Perform business and data analysis to uncover trends, opportunities, and actionable insights. Define and maintain data taxonomy, business rules, and data requirements across functional teams. Develop dashboards, reports, and visualizations that support strategic decision-making. Create rapid prototypes and proof-of-concepts to validate solutions and accelerate product development. Generate data-driven insights through historical analysis, trend identification, and performance measurement. Collaborate with business, operations, technology, and design teams to deliver innovative client service solutions. Partner with AI/ML and data science teams to enhance analytics capabilities and product offerings. Support end-to-end product delivery, testing, implementation, and change management activities. Influence stakeholders and drive successful deployment of analytics products across global teams. Required Qualifications, Capabilities and Skills Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Computer Science, Economics, Finance, or a related field. Minimum 5 years of experience in a financial services organization. Strong analytical and problem-solving skills with experience translating business needs into data-driven solutions. Advanced proficiency in Microsoft Excel for data analysis and reporting. Hands-on experience using Alteryx and Tableau for analytics and visualization. Intermediate to advanced SQL skills with experience querying and analyzing large datasets. Experience performing business analysis, data mining, and data interpretation. Ability to work independently while managing multiple priorities and stakeholders. Excellent written and verbal communication skills with the ability to explain complex concepts clearly. Proven ability to build trusted partnerships and influence stakeholders without direct authority. Experience supporting product delivery, experimentation, and continuous improvement initiatives. Preferred Qualifications, Capabilities and Skills Experience with Python or R for analytics, automation, or statistical analysis. Exposure to AI and Machine Learning concepts and working with data science teams. Experience in rapid prototyping, experimental design, or agile product development environments. Knowledge of client experience measurement and service performance analytics. Familiarity with data architecture, data governance, and data quality frameworks. Experience developing analytics products or business intelligence solutions. Advanced degree in a quantitative or business-related discipline is a plus.