Your Role
The Digital & Measurement team is responsible for turning Brand and Marketing strategies into digital-first experiences that deliver measurable business outcomes. The Member Data Analyst, Principal will report to the Sr. Manager of Digital & Measurement and serve as the senior individual contributor accountable for defining how marketing and member impact is measured, translating complex data into decision ready insights while advancing the organization’s analytics and measurement maturity. You will partner closely with the Member Marketing Analyst, while operating with a high degree of autonomy, owning the analytics strategy, frameworks, and deliverables that enable segmentation, testing, and value measurement across marketing and member initiatives.
Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow – personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Your Work
In this role, you will:
- Act as the principal analytics lead for marketing and member measurement, shaping how impact, value, and performance are defined and evaluated across initiatives
- Own the end‑to‑end analytics required to enable segmentation, experimentation, and business impact measurement, from data requirements through insight delivery
- Define and influence the member and marketing analytics data foundations, including metric definitions, curated data sets, and standards that enable fast, reliable, decision-ready access to complex data
- Design advanced segmentation frameworks to understand campaign impact while working across journeys, channels, and programs
- Establish experimentation and test‑and‑learn standards, including experimental design, success metrics, governance, and interpretation of results
- Quantify incremental impact of marketing and member initiatives using causal inference, lift analysis, and econometric approaches where appropriate
- Build, develop, and maintain lifetime value frameworks that connect member behavior, engagement, and outcomes to business value
- Partner with data science and marketing analyst teams to inform and translate Marketing Mix Modeling and related econometric analyses into clear recommendations
- Build executive‑ready dashboards, analyses, and narratives that clearly articulate performance, tradeoffs, and opportunities
- Influence senior stakeholders through clear, confident data storytelling and trusted analytical judgment rather than formal authority
- Serve as the internal AI and agentic innovation lead in the measurement space, continuously advancing skills in LLM orchestration, agentic automation, and machine learning, while collaborating with Marketing Technology to pilot next‑gen solutions that automate workflows and elevate analytical capabilities
