About the Role
Role details below.
Responsibilities
- Analyze campaign performance (matchbacks, segment/offer results, etc) to distill the why behind the what—cohorts, lift, incrementality signals, creative/offer splits, geo or branch patterns, time trends, and more.
- Build the story: draft the executive “headline,” structure the narrative (Context → Signal → So What → Now What), and create speaker notes for AEs/Client Strategists.
- Visualize with Tableau: produce clean, reusable dashboards and export-ready visuals (no chart junk, brand-on, executive-friendly).
- Own readout assets: monthly performance summaries, QBR slide sections, one-pagers, win/loss insight briefs, and a living “pattern library” of best-practice visuals.
- Partner tightly with AEs & Client Strategists to align on hypotheses and the decisions a readout must enable—before you ever open a dataset.
- Operational excellence: uphold SLAs, QA your work, and maintain a small component library (templates, color scales, annotations) to speed future builds.
- AI-forward workflow: use AI for exploratory analysis, rapid storyboard drafts, code review/snippets, narrative polishing, and outlier detection—responsibly and transparently.
Work Arrangement
global
Additional Information
- AI is used in the workflow for exploratory analysis, rapid storyboard drafts, code review/snippets, narrative polishing, and outlier detection—used responsibly and transparently.
