DataVinci Analytics Agency
Website:
datavinci.services
Job details:
Location: Remote
Department: Analytics Engineering
Reports To: Head of Analytics Engineering
Experience Required: 3+ Years
ABOUT THE ROLEWe'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
Click on Apply to know more.
