Data Analyst Jobs

Workplace Solutions Client Experience Analytics is hiring talented analysts! We're looking for passionate crew who want to leverage analytics to improve the client experience, influence business decisions, and drive measurable outcomes. We are looking for a talented analyst to join our team to support our digital product environment and help measurably improve plan sponsor experience through data driven insights. This individual will oversee the entire scope of digital engagement with our current and future offerings, partnering with product ownership teams to develop strategy and measure success criteria. Candidates with high interest in learning product owner strategy and understanding the details of our stakeholders' roles and responsibilities will be best qualified to succeed in seat. As an analyst in CX, you will: Collaborate with product development, user experience, journey ownership, technology, and other disciplines, serving as a trusted analytics advisor on strategic initiatives. Bring structure to ambiguous business questions and translate business objectives into actionable analytical approaches and measurable outcomes. Identify and prioritize areas of greatest opportunity to improve the client experience and deliver business value. Visualize data and tell compelling stories that influence decisions and drive action. Measure and communicate the impact of newly developed features, experiences, and initiatives using data-driven insights. Develop and continuously improve reporting, measurement frameworks, and analytical processes to increase efficiency, scalability, and business value. Strong candidates will demonstrate an ability to: Thrive in ambiguity and adapt quickly to changing priorities. Translate business objectives into analytical approaches and actionable recommendations. Influence stakeholders through data, critical thinking, and strong communication. Work autonomously in their own space and deliver strategic thinking alongside strategic outcomes Learn new tools and techniques in a rapidly evolving analytics environment. Maintain high standards for analytical rigor, data quality, and collaboration.