Marketing Data Analyst II, Ecommerce
UNAVAILABLE
- Chicago, Illinois, United States
- Chicago, Illinois, United States
About
A Quick Peek at Affiliate Marketing Think back to your last online purchase. Did an influencer tip you off about a great product and offer a discount? Or perhaps you relied on a trusted review site to make your decision? Whatever path you took, affiliate publishers likely played a role by influencing, informing, or helping you find the best deal. CJ connects brands with these publishers, creating valuable resources for shoppers like you.
Job Description Hybrid role requiring 3 days a week in Atlanta or Chicago or Irving, TX.
You must be work authorized in the United States without the need for employer sponsorship.
In this client‑facing Data Scientist role at CJ, you will serve as a dedicated analytics partner to a large enterprise client, delivering data‑driven insights and advanced analytical solutions in a digital advertising environment. You will own end‑to‑end projects that support campaign performance, measurement, and optimization, helping drive growth through high‑quality data, clear reporting, and actionable recommendations.
You will work closely with client stakeholders, account teams, and cross‑functional partners to translate business needs into scalable data solutions. This role is ideal for someone who thrives in a fast‑paced, client‑facing environment and enjoys combining technical expertise with strategic problem‑solving to influence marketing outcomes.
Responsibilities What you will do:
Lead and support advanced client‑facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
Act as a strategic partner to account teams, proactively identifying opportunities, shaping measurement strategies, and influencing decision‑making.
Apply hypothesis‑driven analysis to diagnose performance and quantify impact.
Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
Analyze large‑scale e‑commerce and advertising datasets, leveraging statistical and ML methods to uncover opportunities and support growth strategies.
Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
Develop machine‑learning models, including forecasting and inferential analysis, and implement LLM‑driven solutions where applicable.
Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.
Present technical findings and recommendations to non‑technical audiences, demonstrating strong client‑facing and communication skills.
Present complex analytical concepts in intuitive ways tailored to varying levels of stakeholder sophistication.
Qualifications Hybrid role requiring 3 days a week in Atlanta or Chicago or Irving, TX.
You must be work authorized in the United States without the need for employer sponsorship.
What we look for:
3–5 years of professional experience in Data Science and Analytics.
2+ years of hands‑on experience with PySpark, Scala, and Tableau.
Must have Ad Tech / MarTech industry experience, specifically in e‑commerce, travel, and finance.
Strong client‑facing experience, including presentations and solution delivery.
Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing.
Proficiency with GitLab or GitHub for version control and collaborative development.
Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
Preferred: Experience implementing LLMs into business workflows, including training, fine‑tuning, and manipulation for applied use cases.
Experience with incrementality testing, MMM, and lift test design and analysis.
Strong communication skills with the ability to simplify and explain complex technical results to non‑technical stakeholders.
Benefits
Flexible time off without the hassle of accrual
A generous number of paid holidays
Company‑sponsored team‑building events
Employee Referral Program
Annual recognition awards
Hybrid work arrangements for optimal work‑life balance
Parental bonding leave
Backup care options for children and elders
Employee discount program
International SOS program for global support
Business Resource Groups where employees connect over shared interests to cultivate an engaging, inclusive environment
…and those are just a few of our great perks! Come join us and see what makes our company a great place to work.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $88,540.00 – USD $135,632.00 annually. This is the pay range the Company believes it will pay this position at the time of this posting. The Company reserves the right to modify this pay range at any time.
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Languages
- English
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