Location: Remote
Department: Analytics Engineering
Reports To: Head of Analytics Engineering
Experience Required: 2 to 4 Years.
Possible Night Shift.
NOTE: Apply only if you have hands-on experience with the given tech stack mentioned in the Required Experience Section.
ABOUT THE ROLE
We're looking for a Senior Marketing Analyst to join our Analytics Engineering team and take ownership of marketing performance analysis across our client portfolio. This is a senior individual contributor role — you'll be handling complex, high-spend accounts independently, mentoring junior analysts, and serving as the go-to expert on marketing data and attribution for your clients.
You'll be replacing a senior team member, so we need someone who can hit the ground running — not someone learning the fundamentals on the job.
WHAT YOU'LL DO
• Own end-to-end marketing analytics for multiple client accounts, from data validation to insight delivery
• Analyze performance across all major ad platforms (Google Ads, Meta Ads, TikTok Ads, Snapchat Ads, Bing Ads)
and translate spend data into actionable recommendations
• Build and maintain attribution models to determine true channel performance and ROI
• Work directly with GA4 (BigQuery export) to conduct deep-dive analysis — funnel analysis, user journeys, event-level investigation, cohort behavior
• Manage and troubleshoot data from Adobe Analytics where applicable
• Work with third-party attribution and analytics platforms including Northbeam and Triple Whale to validate and cross-check attribution data
• Analyze Shopify data (orders, AOV, customer LTV, product performance) and reconcile it against marketing platform reporting
• Work with Stripe payment data for revenue reconciliation and subscription/LTV analysis
• Integrate and analyze CRM data (HubSpot, Salesforce, or client-specific CRMs) for full-funnel visibility
• Identify data discrepancies across platforms (e.g., GA4 vs Shopify vs ad platform numbers) and determine root causes
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