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Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.

Analyzes procurement and spend data to identify sales, savings, and value-creation opportunities for customers and supplier partners. Responsibilities include assembling and normalizing complex datasets, managing data taxonomies, creating customized reports and deliverables, identifying trends, supporting sales growth, communicating insights, resolving stakeholder issues, and mentoring junior analysts.

Leads the end-to-end engineering organization across application development, data engineering, AI/ML, and DevOps. Drives organizational transformation, Agile maturity, metrics-based execution, platform stability, integrations, vendor governance, and an outcome-focused AI roadmap. Partners with executive, product, and operations leaders to align technology investments with measurable business results while developing high-performing teams and fostering accountability, trust, experimentation, and continuous improvement.

Own the website’s marketing and growth strategy, roadmap, conversion rate optimization, performance metrics, analytics instrumentation, and experimentation program. Lead cross-functional prioritization with technology, product, e-commerce, marketing, and agency teams. Drive A/B testing, improve member acquisition and revenue, manage website analytics and MarTech initiatives, and report strategy and performance results to senior leadership.