Responsibilities

• Own weekly, monthly, and quarterly marketing performance reporting using in-platform data sources and Northbeam in conjunction.
• Build and maintain dashboards tracking key business and marketing KPIs.
• Monitor revenue, customer acquisition, conversion rate, average order value, customer lifetime value, retention, marketing efficiency, and channel performance.
• Analyze performance across Shopify, Amazon, TikTok Shop, email, SMS, paid media, affiliate, influencer, and retail initiatives.
• Identify trends, risks, and growth opportunities and communicate findings to leadership.
• Serve as the primary day-to-day analytical partner for NOMAD and SAGUM.
• Review agency reporting and validate campaign performance.
• Monitor paid media pacing, efficiency, and campaign health.
• Analyze lifecycle marketing performance, including email and SMS engagement and revenue contribution.
• Surface recommendations and questions to agency partners based on performance data.

Requirements

• Bachelor's degree in Marketing, Business, Economics, Finance, Statistics, Analytics, or a related field.
• 1–3 years of experience in marketing analytics, growth marketing, e-commerce, business intelligence, or digital marketing.
• Advanced proficiency in Excel or Google Sheets.
• Experience with Shopify, Google Analytics, Meta Ads Manager, Google Ads, Klaviyo, Attentive, Looker Studio, Northbeam, or similar marketing platforms.
• Strong analytical and problem-solving skills with the ability to translate data into actionable recommendations.
• Excellent organizational skills and attention to detail.
• Strong communication skills with the ability to present findings clearly to both technical and non-technical audiences.

Preferred

• Experience working for a high-growth DTC, consumer packaged goods, food, wellness, beauty, or lifestyle brand.
• Experience working alongside paid media or lifecycle marketing agencies.
• Familiarity with attribution, cohort analysis, customer lifetime value modeling, and marketing forecasting.
• Experience with BI and visualization tools such as Looker Studio, Tableau, or Power BI.