Marketing Analyst

CADY•Alpharetta, GA

7d•Onsite

About The Position

We are seeking a highly analytical Marketing Analyst with strong technical skills to drive growth through data. This role will own performance reporting, attribution, forecasting, and marketing technology optimization to accelerate acquisition, improve conversion, and increase lifetime value. The ideal candidate combines deep analytical capability with a growth mindset and stays current on emerging mar-tech trends to continuously improve performance. The ideal candidate combines deep analytical rigor with strong technical execution skills across GA4, SQL, BI tools, lifecycle marketing platforms, and attribution modeling — and proactively evolves our measurement ecosystem to stay ahead of emerging mar-tech trends.

Requirements

Bachelor’s degree in Marketing, Analytics, Business, Statistics, Computer Science, or related field
3–5+ years in marketing analytics, growth analytics, or performance marketing
Advanced SQL skills required
Experience with BI tools and dashboard development
Advanced Excel or Google Sheets modeling skills
Strong understanding of digital marketing metrics and funnel optimization
Experience with Salesforce Marketing Cloud, Braze, DOMO, Google Analytics
Onsite Role - Innovation Center (Alpharetta, GA) 5 days a week.

Nice To Haves

Familiarity with data warehousing platforms
Experience implementing or optimizing marketing automation and CRM systems
Background in growth marketing or performance-driven environments

Responsibilities

Analyze full-funnel performance across all digital and print channels
Leverage Google Analytics (GA4) to analyze user behavior, conversion paths, cohort performance, and channel contribution
Identify opportunities to improve conversion rates, average orders and lifetime values
Develop attribution models and measure incremental impact of campaigns
Translate data into clear recommendations that drive measurable growth
Own email and lifecycle marketing reporting across Salesforce Marketing Cloud and Braze: Analyze campaign, journey, and triggered email performance (deliverability, engagement, conversion, revenue per send)
Measure incremental revenue impact of lifecycle programs (abandoned cart, booking reminders, post-session upsell, etc.)
Build and maintain dynamic revenue and demand forecasting models
Create scenario-based projections to support budget allocation and growth planning
Monitor KPIs and provide variance analysis with actionable insights
Model elasticity, response curves, and incrementality across paid, owned, and lifecycle channels
Monitor KPI performance and deliver variance analysis against forecast and budget
Partner with Finance to align marketing performance with revenue and EBITDA goals
Model elasticity, response curves, and incrementality across paid, owned, and lifecycle channels
Monitor KPI performance and deliver variance analysis against forecast and budget
Partner with Finance to align marketing performance with revenue and EBITDA goals
Write and optimize SQL queries to extract and analyze large datasets
Build and maintain dashboards in BI tools (DOMO)
Partner with data and engineering teams to ensure data integrity and scalable reporting
Evaluate and implement new marketing technologies to improve efficiency, automation, and measurement
Own GA4 property configuration, event schema, conversion tracking, and cross-domain measurement
Maintain tagging frameworks using Google Tag Manager (GTM), ensuring clean event tracking, UTM governance, and consistent taxonomy
Design scalable tracking architecture for new campaigns, lifecycle triggers, and digital product flows
Ensure accurate cross-platform measurement between GA4, CRM, Salesforce Marketing Cloud, Braze, and BI dashboards
Write and optimize advanced SQL queries to extract and transform large datasets from data warehouses
Build and maintain executive dashboards in DOMO (or similar BI platforms), including channel-level and lifecycle revenue reporting
Partner with Engineering to implement server-side tracking, API integrations, and improved data flow reliability
Evaluate and implement emerging mar-tech tools to improve automation, personalization, deliverability, and measurement accuracy
Design and analyze A/B tests and performance experiments
Partner with channel owners to prioritize high-impact optimization initiatives
Establish performance benchmarks and continuous improvement processes