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.

Job Responsibilities

• 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

• Bachelors 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.