General Marketing Analyst

Marketing Analyst — Novus Retail Solutions

Denver, CO | July 2023 – Present

• Developed 14 custom SQL queries and Python scripts to extract cohort performance data, boosting campaign return on ad spend (ROAS) by 24% for a $1.2M marketing portfolio.
• Architected interactive marketing dashboards in Tableau linked to Google BigQuery, reducing weekly executive reporting assembly time by 35% while serving 8 internal team stakeholders.
• Conducted 45 multivariate A/B tests on landing pages and email workflows using Optimizely, increasing overall lead conversion rates by 19% across 4 major retail service divisions.
• Implemented Google Analytics 4 tracking protocols via Google Tag Manager, resolving 92% of cross-domain attribution errors and saving $45,000 in monthly ad waste.

Associate Marketing Analyst — Elevate Brand Partners

Denver, CO | July 2021 – June 2023

• Analyzed customer acquisition channels using Salesforce CRM and Excel pivot tables, identifying underperforming segments to improve click-through rates by 22% over 6 months.
• Built automated email performance reporting structures in HubSpot, tracking key metrics for 12 monthly newsletters and boosting subscriber retention rates by 15%.
• Monitored budget allocations across 6 paid social media advertising platforms, redistributing $120,000 in capital to optimize overall cost-per-click (CPC) by 18%.
• Collaborated with 3 design teams to create SEO-optimized landing page variations, increasing organic search traffic by 28% and generating 1,400 additional marketing leads.

Marketing analytics, SQL, Tableau, Google Analytics 4, Python, Google BigQuery, Google Tag Manager, A/B testing, Attribution modeling, Salesforce CRM, HubSpot, Optimizely, Excel, Campaign tracking, Customer segmentation, Cohort analysis, Search Engine Optimization (SEO)

Multi-Channel Attribution Engine

Role: Lead Analyst

Tools: SQL, Google BigQuery, Tableau

Designed a custom touch attribution model using SQL, reducing reporting discrepancy across channels by 38% and saving $65,000 in duplicate ad spend.

Customer Retention Optimization

Role: Marketing Data Analyst

Tools: Python, HubSpot, Google Analytics

Built an automated predictive model to identify churn risk, decreasing active subscriber churn by 14% and generating $95,000 in retained revenue.

• Google Analytics Individual Qualification (GAIQ) (2024)
• Salesforce Certified Tableau Data Analyst (2023)
• Google Data Analytics Professional Certificate (2021)

• Languages: English (Native), French (Conversational)
• Volunteer Work: Data consultant for regional non-profit environmental group (2022-present)
• Availability: 2 weeks notice