Business Analyst - Wholesale & Risk

Job Requirements

Primary Responsibilities

• Collaborate with data analysts, data scientists, and vendor partners to define and document business and technical requirements.
• Develop test strategies and systematic procedures to ensure solutions meet design specifications and performance benchmarks.
• Translate business needs into functional specifications, user stories, and process flows.
• Approach problems with creativity and develop innovative solutions that challenge the status quo.
• Drive continuous improvement initiatives that positively impact business performance.
• Validate reports, dashboards, and data solutions against business expectations.
• Monitor KPIs, campaign performance, and operational metrics, providing insights to stakeholders.
• Demonstrate strong ownership and follow-through in achieving goals and delivering outcomes.
• Ensure alignment of solutions with high-level business objectives and data strategy.
• Facilitate effective communication and hand-offs between business and analytics teams.
  

• Apply advanced analytical methods and algorithms to enable systems to learn, adapt, and deliver desired outcomes.
• Continuously challenge existing processes to drive innovation and performance improvements.
• Demonstrate ownership and commitment to completing tasks and achieving objectives.
• Maintain a strong understanding of data structures and fields essential for analysis.
• Exhibit awareness of how individual contributions align with the organization’s broader vision.
  

• Bachelor’s or Master’s degree in business administration, Data Science, Computer Science, Information Systems, or a related field.
  

Experience

• 2+ Years of Proven experience in business analysis within a data and analytics environment.
• Exposure to working with cross-functional teams including data scientists, analysts, and external vendors.
• Experience in developing test strategies and validating data-driven solutions.
  

• Strong analytical and problem-solving skills.
• Proficiency in using analytical tools and techniques.
• Ability to think innovatively and challenge the status quo.
• Excellent communication and stakeholder management skills.
• High level of accountability and drive to follow through on commitments.
• Understanding of data architecture and strategy.
• Ability to align personal work with organizational goals and vision.