• Improve the e-commerce experience for hundreds of millions of users across the world by making it faster and more personalized. • Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO. • Build the architecture to run technical checkups on customer websites, assess their optimisation level, and provide clear recommendations on what needs to be fixed. • Partner with Product teams to adapt enriched content for SEO/GEO and package it toward external discoverability needs. • Define an SEO/GEO enablement layer with tools, playbooks, and frameworks to scale best practices across teams and customers.

• Leverage your hands-on experience with data to explore and define innovative solutions • Employ strong analytical and storytelling skills to transform complex data into compelling narratives • Work closely with sales, engineering, and customers to develop and implement comprehensive solutions • Build and maintain strong relationships with key clients, including Fortune 500 companies • Partner with the Sales Team to support business development efforts

• Build People analytics foundation and certified workforce metric ecosystem • Rebuild lifecycle operations on automated foundations • Govern AI usage and establish People team standards • Drive change adoption within the organization

• Steward and publish weekly business reviews, synthesizing key metrics and signals into clear, stakeholder-ready commentary. • Flag material metric movements proactively—distinguishing noise from signal—and recommend whether to investigate immediately, monitor, or backlog. • Lead the Weekly Metrics review for senior leadership, including narrative development and proactive identification of metric gaps in our retention trends. • Manage transitions of report stewardship within the team and ensure analytical continuity (e.g., onboarding new analysts to weekly cadences without degrading output quality). • Run a weekly Care Analytics prioritization process: maintain the backlog across multiple stakeholder groups (Care leadership, Pro product, Finance), arbitrate competing priorities, and communicate trade-offs clearly. • Manage and develop a team of analysts (Senior Analysts, Analysts), providing coaching on both technical craft and business communication. • Define project scopes and ETAs, track delivery, and surface blockers early—including upstream data/engineering dependencies. • Champion the Analytics + AI literacy initiative, helping team members build skills in AI-assisted analysis and productivity tooling. • Drive structured investigations into metric deterioration Leverage regression analysis, cohort segmentation, and hypothesis testing to isolate drivers of key metrics and distinguish correlation from causation. • Partner with Data Science and Product Analytics on metric definitions, unified views for migrations, and new metric builds. • Validate and QA metric definitions end-to-end, including numerator/denominator alignment, data source mapping, and appropriate use of segment filters. • Act as the analytical voice in leadership discussions on customer metrics, rules, program effectiveness, and optimization strategies. • Translate ambiguous asks from business leaders into structured analytical plans with defined hypotheses, recommended cuts, and timelines. • Collaborate cross-functionally with Care Ops, Finance, Product, and Data Engineering to ensure analytical outputs are grounded in operational reality. • Partner with Data Engineering on data quality issues to ensure reporting reliability.