Marketing Analytics Specialist

CADY•Alpharetta, GA
•Onsite

About The Position

CADY is seeking a highly analytical Marketing Analytics Specialist to drive growth through data. The role owns performance reporting, attribution, forecasting, and marketing technology optimization to accelerate acquisition, improve conversion, and increase customer lifetime value. The specialist combines analytical rigor and technical execution across GA4, SQL, BI tools, lifecycle marketing platforms, and attribution modeling, while identifying emerging marketing technology trends and improving the measurement ecosystem. The position is based at CADY’s Innovation Center in Alpharetta, Georgia, and is onsite five days a week. The specialist works across marketing channels and with Finance, Data, Engineering, and channel owners to produce actionable insights, reliable measurement, and growth-focused recommendations.

Requirements

  • Bachelor’s degree in Marketing, Analytics, Business, Statistics, Computer Science, or a related field.
  • 3–5+ years of experience in marketing analytics, growth analytics, or performance marketing.
  • Advanced SQL skills.
  • 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, and Google Analytics.
  • Ability to work onsite at the Innovation Center in Alpharetta, Georgia, five 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 digital and print channels using GA4, including user behavior, conversion paths, cohorts, and channel contribution.
  • Identify opportunities to improve conversion rates, average order values, and customer lifetime value.
  • Develop attribution models and measure the 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, including campaign, journey, and triggered-email deliverability, engagement, conversion, and revenue-per-send analysis.
  • Measure the incremental revenue impact of lifecycle programs such as abandoned-cart messaging, booking reminders, and post-session upsell programs.
  • Build and maintain dynamic revenue and demand forecasting models and scenario-based projections to support budget allocation and growth planning.
  • Monitor KPIs, provide variance analysis against forecasts and budgets, and deliver actionable insights.
  • Model elasticity, response curves, and incrementality across paid, owned, and lifecycle channels.
  • Partner with Finance to align marketing performance with revenue and EBITDA goals.
  • Write and optimize SQL queries to extract, analyze, and transform large datasets, including data warehouse datasets.
  • Build and maintain executive dashboards in DOMO or similar BI platforms, including channel-level and lifecycle revenue reporting.
  • Partner with Data and Engineering teams to ensure data integrity, scalable reporting, reliable data flows, and improved measurement.
  • Evaluate and implement marketing technologies to improve efficiency, automation, personalization, deliverability, and measurement.
  • Own GA4 property configuration, event schema, conversion tracking, and cross-domain measurement.
  • Maintain tagging frameworks using Google Tag Manager, ensuring clean event tracking, UTM governance, and consistent taxonomy.
  • Design scalable tracking architecture for campaigns, lifecycle triggers, and digital product flows.
  • Ensure accurate cross-platform measurement among GA4, CRM, Salesforce Marketing Cloud, Braze, and BI dashboards.
  • Partner with Engineering to implement server-side tracking and API integrations.
  • Design and analyze A/B tests and performance experiments.
  • Partner with channel owners to prioritize high-impact optimization initiatives and establish performance benchmarks and continuous improvement processes.
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