Description
Join our Customer Loyalty Analytics team and help shape the future of customer experience through advanced analytics. You’ll have the opportunity to collaborate across teams, drive innovative strategies, and make a real impact on how we understand and serve our customers. Grow your career in a dynamic environment that values strategic thinking and data-driven decision making. Develop your skills while working with cutting-edge technologies and methodologies. Be part of a team that values your expertise and encourages continuous learning.
As a Quant Analytics Senior Associate Customer Loyalty Analytics within the Data & Analytics organization, you will play a key role in supporting analytics projects across customer experience functions, channels, and products. You will work collaboratively with cross-functional teams to derive insights from customer journeys and implement strategies to improve the customer experience. Your work will span the full analytics lifecycle, from data development to delivering presentations of findings. We value inclusive, collaborative teamwork and a focus on driving business impact. You will help us turn data into actionable recommendations that matter to our customers and our business.
Our projects range from trend analysis to prescriptive analytics, all centered on data mining, business judgment, and collaboration. You’ll partner with Strategic and Analytics teams, leveraging advanced tools and methodologies to deliver insights. The team supports a variety of business units, providing opportunities to work on diverse and challenging projects. You’ll be encouraged to stay current with the latest trends in AI and analytics, applying new techniques to enhance our capabilities. This role offers a unique opportunity to influence business decisions and customer outcomes.
Job responsibilities
- Leverage analytical applications (SQL, Alteryx, Python, Tableau, Adobe Analytics, Competitive Intelligence) to analyze complex data sets
- Clean, transform, and interpret trends and patterns in data
- Facilitate identification of KPIs and conduct trend analysis, segmentation, and optimization
- Lead partnerships with Customer Experience Groups to advise on strategies and deliver actionable analysis
- Stay updated on AI, Machine Learning, and Generative AI trends to enhance analytical capabilities
- Prepare and deliver presentations with compelling data narratives for executive audiences
- Document data lineage and scope analytics projects
- Develop hypotheses and conduct data analysis to generate insights
- Collaborate with cross-functional teams to improve customer experience
- Present findings in regularly scheduled analytics meetings and Business Unit Reviews
Required qualifications, capabilities, and skills
- 2+ years of related experience
- Bachelor’s degree in a quantitative or related field
- Technical knowledge of data management, governance, big data platforms, and data architecture
- Structured thinker with effective written communication skills
- Ability to present fact-based recommendations clearly and concisely
- Superior written and oral communication skills
- Ability to communicate effectively with all levels of management and business partners
- Proactive and results-driven with a proven track record of execution
Preferred qualifications, capabilities, and skills
- Master’s degree or PhD in a relevant field
- Experience with advanced analytics tools and methodologies
- Familiarity with AI, Machine Learning, and Generative AI applications in analytics
- Experience delivering presentations to executive audiences
- Demonstrated ability to “tell a story” with data
- Experience working in cross-functional teams
- Strong business judgment and collaboration skills