Lead Insights & Decision Science

5+ years in analytics, insights, BI, decision science, or data strategy roles. Mastery of data storytelling you turn analysis into simple, compelling narratives. Hands-on expertise with Power BI, Tableau, Looker, Mode, or similar data visualization tools. Strong SQL and comfort partnering with data engineering teams. Ability to work cross-functionally with Product, Growth, Marketing, CX, Finance, and Exec leadership. Strong business intuition and instinct for what metrics actually matter. Expertise in funnel analytics, cohort analysis, retention modeling, and experimentation. Craft-level skill in information design and visual communication. A bias for action, ownership, clarity, and building systems that scale.

Build Bizee’s insight architecture: design dashboards, scorecards, and reporting systems that make decisions obvious. Own the WBR/MBR intelligence layer: define KPIs, instrumentation standards, and business reporting rhythms. Turn data into decisions: translate trends into root-cause analysis, insights, and clear recommendations. Diagnose growth drivers: uncover patterns across funnel drop-offs, activation, retention, LTV, churn, and customer behavior. Improve acquisition performance: partner with Growth on CAC efficiency, attribution, and paid channel insights. Enable Product & Experience: provide usage insights, experiment analysis, segmentation, and leading indicator frameworks. Design executive-ready visualizations: build dashboards that simplify the complex and highlight what matters. Partner with Data Engineering & AI: ensure data models, pipelines, and event structures support decision-making. Create narrative insight memos: articulate the “what,” “so what,” and “now what” behind each insight. Drive metric governance: ensure consistency in definitions, source-of-truth logic, and reporting quality.