SENIOR MARKETING/PRODUCT ANALYST

Location: Remote

Department: Analytics Engineering

Reports To: Head of Analytics Engineering

Experience Required: 3+ Years

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
• Build dashboards and reports that clients actually use to make decisions
• Conduct A/B test analysis — statistical significance, lift, segment-level breakdowns
• Present findings and recommendations directly to clients in a clear, non-technical way
• Mentor junior analysts on the team, review their work, and maintain quality standards
• Proactively flag anomalies, risks, or opportunities in client marketing data before clients ask

WHAT YOU NEEDRequired Experience

• 3+ years in marketing analytics, performance marketing analysis, or a closely related role
• Proven track record of real, demonstrable marketing analysis projects — not just dashboard-building, actual analytical insight generation
• Hands-on experience with GA4, including BigQuery export analysis (not just the native UI)
• Experience with Adobe Analytics
• Experience working with attribution platforms — Northbeam, Triple Whale, or similar (Rockerbox, AppsFlyer, Singular)
• Experience analyzing Shopify data (orders, products, customer data)
• Experience with Stripe or similar payment processor data
• Experience integrating and analyzing data from CRMs (HubSpot, Salesforce, or similar)
• Strong hands-on experience across major ad platforms: Google Ads, Meta Ads, TikTok Ads, Snapchat Ads, Bing Ads
• Advanced SQL — comfortable writing complex queries independently, not just reading existing ones
• Strong understanding of attribution modeling (first-touch, last-touch, multi-touch, data-driven)
• Experience with BI tools — Power BI, Tableau, or Looker Studio
• Experience with Python for data analysis (pandas)
• Experience of data engineering projects  like ETL, building and maintaining data pipelines
• Experience with GCP, BigQuery and/or another cloud data warehouse

Strongly Preferred

• Experience with Marketing Mix Modeling (MMM)
• Experience with funnel and cohort analysis for e-commerce or subscription businesses
• Experience managing or mentoring junior team members
• Experience working in an agency environment with multiple concurrent client accounts
• Experience with e-commerce/DTC or subscription/telehealth business models specifically

Soft Skills

• Can independently own a client relationship — not just execute tasks handed down
• Comfortable explaining complex data findings to non-technical stakeholders
• Sharp eye for data discrepancies and root-cause investigation
• Proactive — flags issues before being asked
• Strong written and verbal communication for client-facing work

WHAT SUCCESS LOOKS LIKE IN THIS ROLE

• Clients trust your numbers without needing to double-check them
• You catch data quality issues before they become client-facing problems
• Your attribution recommendations directly influence client budget decisions
• Junior analysts on your accounts produce better work because of your mentorship
• You can pick up a new client's data stack and be productive within days, not weeks

WHAT WE DON'T NEED

• Someone who's only worked with platform-native dashboards (Meta Ads Manager, Google Ads UI) without deeper analysis
• Someone whose "attribution experience" is limited to reading a report someone else built
• Entry-level or junior analysts — this role requires independent ownership from day one