Apply📍 United States
🧭 Full-Time
💸 135000.0 - 165000.0 USD per year
🔍 Marketing Analytics
🏢 Company: Universal Audio
- Proficiency in SQL, BI tools (Tableau, Looker, Omni, Heap), and data visualization best practices.
- Experience analyzing DTC e-commerce (conversion rates, ROAS, CAC, AOV, LTV) and SaaS/subscription metrics (churn, retention, ARPU, CAC-to-LTV, trial conversion).
- Strong understanding of marketing performance metrics, including: Email (open rates, CTR, conversions), Paid media (ROAS, CAC, impression share), Organic growth (SEO, content engagement, social analytics).
- Expertise in attribution modeling, A/B testing, and marketing ROI measurement.
- Strong analytical and problem-solving skills with the ability to synthesize data into insights.
- Excellent communication skills to translate complex data into business recommendations.
- Experience in Agile or matrixed environments.
- Background in e-commerce, SaaS, or multi-channel sales required.
- Own end-to-end KPI reporting across marketing, e-commerce, and channel sales teams.
- Develop, maintain, and scale dashboards and reporting tools to monitor real-time performance.
- Define and track metrics across DTC e-commerce, SaaS/subscriptions, and retail sales channels for a holistic view of growth.
- Ensure reports align with business goals and evolving needs, driving actionable insights.
- Partner with the Digital team to automate and scale reporting processes.
- Support forecasting accuracy by analyzing trends and refining predictive models.
- Translate complex datasets into clear, interactive dashboards for faster insights.
- Define key performance benchmarks with marketing, e-commerce, and sales teams.
- Leverage customer insights and segmentation to improve marketing execution, engagement, and conversions.
- Provide data-driven recommendations to optimize: DTC acquisition and conversion, Subscription KPIs (churn, LTV, CAC-to-LTV, trial conversion), Retail and channel sales performance.
- Champion a data-driven GTM culture by educating teams on analytics best practices.
- Partner with demand generation and e-commerce teams to design and measure experiments, A/B tests, and attribution models.
- Develop and refine attribution models while improving forecasting through predictive analytics.
- Optimize digital marketing spend by analyzing customer journeys, campaign performance, and retention drivers.
- Align marketing, e-commerce, and sales teams on objectives and reporting needs.
- Partner with finance and e-commerce teams to refine DTC forecasting models and revenue projections.
- Work cross-functionally to ensure high data quality, accessibility, and forecasting accuracy.
- Present insights and performance trends to executive leadership.
- Integrate customer segmentation insights into personalization and lifecycle strategies.
SQLBusiness IntelligenceData AnalysisTableauData visualizationData analyticsA/B testing
Posted about 1 month ago
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