DataVinci Analytics Agency

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

Data

Analysis

Data analytics

Marketing strategies

Shopify

Marketing campaign

Google ads

Project management

Bing ads

Testing

Payment systems

Tableau

HubSpot

Salesforce

Data warehouse

Pandas

Cloud

Performance marketing

User journey mapping

E-commerce

Stripe

Looker

Data Engineering

Data Pipelines

Communications

Google BigQuery

Adobe Analytics

Dynamic ads

Video advertising

Power BI

Python

Google Cloud Platform

SENIOR MARKETING/PRODUCT ANALYST