Database Marketing Analyst

Sunday • ,

1d • $130,000 - $145,000

About The Position

We are seeking a highly capable, mid-level analytics professional to support data-driven decision-making across our marketing, retail, and digital platform teams. This role sits between junior and senior levels: you’re expected to operate independently, manage ambiguity, and deliver insights with minimal oversight—while still collaborating closely with leadership on priorities and direction.
You’ll play a key role in shaping how we understand customer behavior across our ecommerce platform and newly launched app, bringing clarity to increasingly complex user journeys and attribution challenges.

Requirements

• Strong proficiency in SQL and Excel
• Hands-on experience with at least one visualization tool (Omni, Looker, or Tableau)
• Experience with digital analytics platforms (Google Analytics, Adobe Analytics, or Heap)
• Demonstrated ability to independently manage analytics projects from scoping through delivery
• Experience working directly with business stakeholders and translating needs into analytical outputs
• Solid understanding of marketing analytics, including channel performance and attribution concepts
• Familiarity with website analytics and conversion funnel analysis

Nice To Haves

• Experience in Ecommerce Analytics and/or Subscription Retention Analytics
• Specific experience with Media Mix Modeling a plus
• Proficient in modern data stack tools (e.g., Snowflake, DBT, Heap)
• Python or R for data analysis
• Version control experience (e.g., GitHub)
• Exposure to app analytics and cross-platform user behavior tracking
• Understanding of tag management platforms (e.g., Segment, Google Tag Manager, Adobe Experience Platform Tags)

Responsibilities

• Partner with stakeholders across Marketing, Retail, and Website Platform teams to define, scope, and deliver actionable analytics
• Analyze performance across marketing channels, with a strong focus on multi-touch attribution and ROI measurement
• Develop and maintain dashboards and reporting in visualization tools (Omni, Looker, Tableau)
• Write complex SQL queries to extract, transform, and analyze large datasets (Snowflake, DBT)
• Evaluate and improve ecommerce and app conversion funnels, identifying opportunities for growth and optimization including the support of A/B testing
• Translate ambiguous business questions into structured analytical approaches and clear insights
• Proactively identify trends, issues, and opportunities within customer and behavioral data
• Collaborate cross-functionally to ensure data consistency and alignment across reporting surfaces

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed