Sr Decision Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Role Overview We are seeking a Senior Decision Scientist with deep expertise in Adobe Analytics and Clickstream Analytics to lead funnel analysis and workflow integration across our acquisition and onboarding processes. You will leverage Adobe Analytics and clickstream data to understand the complete member funnel — from prospect discovery through product acquisition — identify gaps and drop-off points at each stage, and connect workflows to optimize the end-to-end journey. This role is critical to improving acquisition efficiency by mapping, analyzing, and optimizing the multi-stage funnel through advanced digital analytics and behavioral data insights. Team: Analytics & Decision Science Reports To: Head of Data Analytics & Transformation Primary Focus: Adobe Analytics & Clickstream Analytics Adobe Analytics Expertise 5+ years hands-on experience with Adobe Analytics (Adobe Experience Cloud / Analytics Cloud) Deep proficiency in Adobe Analytics implementation: custom dimensions, metrics, segments, event tracking, variable configuration Advanced analytics capabilities: pathing analysis, funnel analysis, cohort analysis, attribution modeling Ability to instrument complex digital experiences and extract meaningful behavioral data Expert-level dashboard and reporting design in Adobe Analytics Clickstream Analytics Expertise 5+ years analyzing clickstream data and behavioral event streams Ability to work with raw clickstream/event-level data: sessionization, funnel building, user flow analysis Experience parsing and analyzing JSON event streams and behavioral data Proficiency in building custom segmentation and cohort models from clickstream data Understanding of how clickstream data connects to business outcomes (conversion, retention, engagement) Key Responsibilities 1. Funnel Mapping Using Adobe Analytics & Clickstream Use Adobe Analytics to map the complete acquisition funnel: awareness → consideration → quote → application start → application completion → underwriting → product issuance Leverage clickstream data to understand exact user pathways and behavioral sequences at each funnel stage Define and measure conversion rates at each stage; identify largest drop-off zones Create funnel visualizations and dashboards showing how prospects flow through each stage 2. Gap & Friction Identification Analyze abandonment patterns: Where do prospects exit the funnel? What pages/interactions precede abandonment? Use Adobe Analytics pathing analysis to identify common user paths before abandonment Conduct clickstream analysis to find behavioral bottlenecks: time spent, re-attempts, error patterns Quantify impact: How many members lost due to each friction point? What's the revenue impact? 3. Workflow & Stage Analysis Understand digital workflows at each funnel stage; map where prospects transition between stages Identify friction points at stage boundaries: unclear CTAs, form complexity, technical errors, validation failures Use Adobe Analytics and clickstream to diagnose: Is the drop-off due to technical issues, user confusion, or abandonment? Build insights on which user segments/behaviors are most likely to drop off at each stage 4. Advanced Segmentation & Flow Analysis Build Adobe Analytics segments to analyze funnel performance across prospect segments (new vs. returning, device type, referral source, demographic) Use clickstream data to create behavioral segments: high-intent vs. low-intent, fast-movers vs. cautious explorers Compare conversion rates and drop-off patterns across segments Identify which segments and behaviors predict success vs. abandonment. 5. Attribution & Multi-Touch Analysis Design multi-touch attribution models in Adobe Analytics to understand which interactions drive conversion Analyze how different funnel stages contribute to overall acquisition success Understand the role of digital interactions vs. other touchpoints in member acquisition 6. Dashboards & Monitoring Build Adobe Analytics dashboards showing funnel health: stage-by-stage conversion, abandonment rates, traffic mix Create real-time dashboards for funnel monitoring; alerts for anomalies or degradation Design clickstream-based dashboards showing user behavior patterns and flow paths Provide actionable insights through data visualization 7. Recommendations & Optimization Translate Adobe Analytics and clickstream insights into prioritized recommendations Design A/B tests to validate friction-reduction hypotheses; measure impact using Adobe Analytics Quantify ROI: "If we reduce form complexity at Stage X, we expect Y% conversion lift worth $Z" Prioritize recommendations by impact × feasibility Required Qualifications Adobe Analytics (Must-Have) 5+ years hands-on experience with Adobe Analytics Deep expertise in: custom variables, eVars, props, events, success metrics Advanced skills: segments, virtual report suites, processing rules, classifications Proficiency in pathing analysis, funnel analysis, flow analysis Experience with Adobe Analytics API or data feeds for custom analysis Ability to troubleshoot implementation issues and valid