Company Description
As part of Publicis Groupe, CJ Affiliate is the leader in Global Affiliate Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with the tools, training and career development opportunities to provide cutting edge solutions, strategies and support that deliver high quality results for our clients. We work in an energetic, results-oriented, collaborative, team environment that recognises exceptional performance. As we evolve and grow as a business, so do you.
Overview
In this Senior Data Scientist role at CJ, you will serve as a senior operational analytics resource supporting internal and client-facing reporting, analytics, and data requests across the business. This role focuses on executional analytics, Jira queue management, scalable reporting solutions, AI-enabled workflows, and operational excellence within a fast-paced digital advertising environment.
You will work across multiple stakeholders and business functions to support ad hoc analysis, reporting requests, data investigations, and e-commerce and digital advertising measurement initiatives, including performance analysis and incrementality-focused requests, while leveraging AI tools and coding agents to improve workflow efficiency, delivery quality, and operational scale.
What you will do:
- Lead operational analytics support across Jira workflows, ad hoc reporting requests, internal stakeholder asks, and client support needs
- Help manage team bandwidth, queue prioritization, ticket intake, and work allocation while ensuring requests are clearly scoped and actionable
- Serve as a senior escalation point for analysts by providing guidance on troubleshooting, reporting logic, delivery standards, AI-enabled workflows, and best practices
- Analyze e-commerce and digital advertising data to support reporting, campaign analysis, operational insights, measurement initiatives, and client-facing requests
- Partner with account teams, analysts, and cross-functional stakeholders to deliver timely and accurate data solutions
- Identify recurring request trends and develop scalable reporting and AI-assisted operational solutions while ensuring strong data quality, validation, monitoring, and operational consistency across workflows
- Build and maintain Tableau dashboards and reporting solutions while utilizing Spark, Databricks, and AI coding agents to support analysis, investigate data issues, and improve workflow efficiency
What we look for:
- 5+ years of experience in analytics, marketing science, business intelligence, or a related field
- Strong experience with Tableau and large-scale data environments such as Spark or Databricks
- Experience utilizing AI coding agents and AI-enabled workflows to improve productivity, operational efficiency, and analytics delivery
- Strong understanding of e-commerce, digital advertising, and performance marketing principles, including affiliate and partner-based ecosystems
- Strong analytical, organizational, and problem-solving skills with attention to detail and data accuracy
- Experience guiding or mentoring analysts and driving operational consistency across a team
- Strong communication and stakeholder management skills with the ability to translate technical concepts into business-friendly insights
Preferred:
- Experience with Python, PySpark, or Scala
- Experience training, tuning, or optimizing AI agents and workflows for analytics, reporting, or client-facing use cases
- Experience supporting enterprise-level reporting or analytics environments
- Familiarity with digital advertising measurement methodologies, incrementality analysis, and reporting frameworks
- Experience working in cross-functional global team environments and improving operational workflows or analytics governance standards
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks
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