Dipen Patel

About Dipen Patel

5+ years as a Data Analyst delivering measurable business impact across digital banking, e-commerce, and enterprise analytics Drove 6–9% conversion lift by analyzing 50M+ monthly digital events using Adobe Analytics, funnels, and cohort analysis🧠 Built predictive & forecasting models that improved demand accuracy by 18% and reduced stockouts by 15% Designed scalable cloud data pipelines using SQL, Python, AWS (Redshift, S3, Glue) cutting manual work by 40% Created executive dashboards & self-service analytics (Tableau, Power BI, QuickSight) boosting data adoption by 35% Enabled personalization & CRO strategies by translating insights into Adobe Target & CDP audiences Led deep-dive root cause analyses to solve conversion drop-offs, inventory gaps, and customer experience issues🧩 Partnered cross-functionally with Product, UX, Marketing, Engineering & Leadership to turn data into decisions Championed data governance & KPI standardization, reducing reporting discrepancies by 25–30% Known for translating complex data into executive-ready insights that drive speed, clarity, and confidence

Experience

1. Data Analyst

   Adobe

   Aug 2025 — Present

   Analyzed over 50 million monthly digital interaction events across web and authenticated banking journeys using Adobe Analytics, identifying high-impact pages, friction points, and opportunities in deposits, login, and logout flows.• Built and maintained custom segments, funnels, and cohort analyses that revealed critical behavioral drop-offs, contributing directly to a measurable 6–9% improvement in conversion rates across prioritized digital banking journeys.• Designed automated executive dashboards in Analysis Workspace, significantly reducing adhoc reporting requests by 30–40% while enabling near real-time visibility into engagement, bounce rates, and journey performance metrics.• Partnered with product, UX, and marketing teams to convert analytics insights into Adobe Target and Real-Time CDP audiences, supporting personalization initiatives that increased targeted content engagement by 12–18%.• Validated and governed cross-channel data pipelines feeding Adobe Analytics and CDP, improving overall data consistency and reducing reporting discrepancies by approximately 25% across multiple teams and business functions.• Conducted comparative trend and pre/post analyses to evaluate experience changes, prioritizing roadmap decisions that reduced page-level abandonment by 5–7% in high-traffic digital banking flows.• Streamlined reporting workflows and standardized metric definitions, cutting analytics delivery turnaround time from several days to a few hours and saving approximately 10–15 analyst hours weekly across engagements.• Collaborated cross-functionally with engineering and analytics stakeholders to refine tagging, KPI definitions, and documentation, increasing dashboard adoption and self-service usage among non-technical teams by approximately 35%.

Education

• Cleveland State University

  Master's degree, Information Science/Studies