Nationwide Mutual Insurance-posted 2 days ago
Full-time • Mid Level
Remote • Columbus, OH
5,001-10,000 employees

If you're passionate about helping a Fortune 100 company drive their strategy forward through innovative product development and advancing strategic partnerships to protect customers (and their pets), then Nationwide is the place for you! At Nationwide®, "on your side" goes beyond just words. Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care. Shape the Future of Customer Experience Through Data and Behavioral Science Are you passionate about turning insights into impact? Join us in a role where your expertise in behavioral science and advanced analytics will directly influence how businesses understand and engage with their customers. In this position, you’ll design and test innovative solutions using cutting-edge statistical programming tools, helping predict and shape customer behavior to drive measurable business performance. We’re looking for someone who thrives at the intersection of research and real-world application—someone ready to employ rigorous methods and advanced techniques to solve complex challenges and create meaningful change. At Nationwide, creating extraordinary customer experiences is central to our mission. The Experience Analytics team empowers business and customer office leaders to leverage data-driven insights to transform how we serve our customers and to optimize every touchpoint along the customer journey. If you are passionate about fusing advanced analytics with customer-centric strategies and have the drive to pioneer the next evolution of customer experience, we want to know more about you! As a Sr. Consultant, Advanced Experience Analytics, you will use advanced analytics, machine learning, and data visualization to reveal deep insights into customer behaviors, preferences, and sentiments. You will partner closely with Customer Office leaders, business unit stakeholders, and other data scientists to drive strategic initiatives that shape and enhance the entire customer lifecycle. This role offers opportunities to influence enterprise-wide decision making, develop experience analytics strategy, and build innovative solutions that directly impact customer loyalty, retention, and satisfaction. To succeed, you will need to use your business knowledge and a solid understanding of advanced analytics (e.g., artificial intelligence, machine learning, etc.) to prioritize business problems and design solutions. You will have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology and programming languages such as SQL and Python.

  • Leads complex experience analytics projects focused on the end-to-end customer journey, enabling data-driven improvements in customer experience, customer loyalty, and customer value.
  • Develops, tests, and implements advanced predictive models, segmentation, and journey analytics using structured and unstructured customer data and operational data from a variety of data sources such as Voice of the Customer program, CRM platforms, and contact center platforms.
  • Serves as a trusted advisor and provides consultative thought leadership to Customer Office leaders and business partners by translating data-derived insights into actionable recommendations.
  • Designs and delivers compelling analytics visualizations and storytelling tailored to executive leadership, highlighting customer experience trends, pain points, and breakthrough opportunities.
  • Drives the adoption and operationalization of customer metrics and measurement frameworks, ensuring insights are embedded in day-to-day decisions.
  • Continuously researches and introduces emerging analytics methodologies, technologies, and best practices relevant to customer experience.
  • Collaborates across the organization to integrate customer experience data into broader analytics strategies.
  • May perform other responsibilities as assigned.
  • A bachelor’s degree in statistics, behavioral science, actuarial science, engineering, or a related quantitative field is highly preferred.
  • You have a robust understanding of behavioral science principles and research methods that drive customer experience insights—such as CX surveys, controlled experiments, and causal inference analyses.
  • Typically eight to ten years in analytics roles with at least three years specializing in customer experience, marketing analytics, or related areas.
  • Demonstrated experience using advanced analytics to drive business and customer outcomes.
  • Deep understanding of advanced analytics methodologies and data-driven customer journey optimization.
  • Proficiency with statistical and machine learning techniques and tools (e.g., Python, R, SQL) applied to customer and operational data.
  • Expertise in data visualization and reporting platforms (e.g., Power BI, Tableau, Qualtrics, Medallia).
  • Strong communication skills to distill and present technical insights to senior leaders and non-technical stakeholders.
  • Track record of influencing senior leaders, collaborating cross-functionally, and executing customer experience transformation initiatives.
  • An advanced degree (Master’s or Ph.D.) in a relevant discipline will set you apart.
  • Graduate studies in statistics, data science, behavioral economics, marketing science, business analytics, or related fields are preferred.
  • Proven, deep quantitative experience within domain may be considered in lieu of advanced degrees.
  • Certification in customer experience (CCXP), analytics, or data science is valued but not required.
  • medical/dental/vision
  • life insurance
  • short and long term disability coverage
  • paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
  • nine paid holidays
  • 8 hours of Lifetime paid time off
  • 8 hours of Unity Day paid time off
  • 401(k) with company match
  • company-paid pension plan
  • business casual attire
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