Senior Data Analyst, Program Insights

As a Senior Analyst on the Differentiated Services Insights team, you will lead high-impact program analytics that drive personalized and differentiated customer experiences across digital and offline touchpoints, including our Design Service, Registry, CBCC, Trade, B2B and Mover programs. This strategic role leverages advanced analytics, web and digital journey analysis, and experimentation to deliver actionable insights on customer behavior, engagement, and loyalty, resulting in strategic recommendations.

• This position is fully remote
• This role is an Individual Contributor position

• Lead analysis of customer segments, digital behaviors, and web/app conversion funnels to identify opportunities for personalization and premium experiences
• Deliver strategic recommendations to optimize digital touchpoints and address drop-offs and optimization opportunities
• Utilize tools like Adobe Analytics or Google Analytics for deep-dive investigations
• Design and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and lift
• Define success metrics and track impact across key business outcomes, including engagement, conversion, retention, and Customer Lifetime Value
• Own the end-to-end analytics lifecycle, including structuring ambiguous problems and translating complex findings into executive-ready insights
• Collaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and execution
• Maintain technical proficiency by writing advanced SQL queries and utilizing Python or R for deep analysis
• Partner with data engineering teams to ensure data quality and integrity

• Advanced SQL proficiency for complex data querying, transformation, and optimization
• Experience in using Adobe Analytics or Google Analytics to analyze user digital journey
• Expertise in data visualization tools (Tableau, Power BI, Looker) for developing dashboards and communicating insights
• Strong knowledge of statistical analysis methods, including hypothesis testing, regression analysis, and experimental design
• Experience in analyzing large customer datasets and identifying meaningful patterns
• Proficiency with Python or R for data mining, feature engineering, or statistical modeling
• Strong data storytelling and communication skills with the ability to translate complex insights into clear business recommendations
• Ability to connect analytical findings to business performance and strategic decisions

• 5+ years of experience in a hands‑on data analyst or growth analytics role
• Bachelor’s degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience).
• Proven experience delivering complex data analysis projects in an agile or collaborative environment
• Strong proficiency in Python or R for advanced data analysis and modeling
• Experience working with large‑scale customer, transactional, or behavioral datasets