Portrait of Daniel Short

Tourism & Destination Analytics

Tourism & Destination Analytics,
Made Actionable

I specialize in helping DMOs and public-sector organizations translate marketing and visitor data into measurable outcomes: demand, revenue, and stakeholder-ready insights.

Destination marketing · SQL · Tableau · Python

Scroll for results

Improvement-Focused Results

Recent Visit Grand Junction work has centered on reporting, business discovery, organic performance, and AI-ready website visibility.

  • 99% Faster reporting turnaround, saving 200+ hours annually.
  • +23.3% Growth in local business listing pageviews in 2025.
  • +9.4% Organic sessions, with organic form submissions up 10.7%.
  • 10x Increase in AI-driven website referrals in 2025.

Analytics That Transfers Across Industries

The tourism lens is intentional, but the underlying analytics work travels well across other business contexts that also depend on demand planning, revenue optimization, segmentation, and marketing measurement.

Tourism
General
Visitor demand
Customer demand
RevPAR
Revenue optimization
Origin markets
Segmentation
Campaign ROI
Marketing attribution

Project Examples

These are the closest existing projects in my portfolio to destination analytics, dashboarding, stakeholder reporting, and transferable business impact.

Work Experience

Recent roles with measurable impact across destination analytics, stakeholder reporting, and broader business analysis.

Target

June 2022 – November 2023

Asset Protection Data Analyst

  • Designed enterprise dashboards that boosted theft reporting by 57.6% and increased prevention 180%.
  • Reduced inventory loss by 24% through analytics-driven investigations and tooling.
  • Presented actionable insights to non-technical stakeholders across multiple teams.

Randall Reilly

November 2023 – January 2024

AI Data Quality Analyst

  • Re-platformed R workflows into a one-click Python app, cutting delivery time by 95%.
  • Expanded serial tracking by 10x with decision trees and delivered 98% anomaly precision.
  • Deployed an autoencoder model that lifted overall data quality for downstream analytics.

Visit Grand Junction

February 2024 – Present

Business Analyst

  • Automated Industry Data Reports and stakeholder reporting, saving 200+ hours annually and cutting turnaround 99%.
  • Authored semimonthly council and stakeholder updates using tourism, lodging, and web-performance data.
  • Identified lodging cannibalization by reconciling tax records with occupancy, ADR, and RevPAR, shaping council updates and strategy.
  • Researched traveler trends and AI search behavior to guide content and GEO strategy, contributing to +9.4% organic sessions and 10x AI referrals YoY.

Certifications & Degrees

Credentials and formal education supporting analytics and machine learning work.