Data and Marketing Analyst

Overview

Hybrid role requiring 3 days a week in office in either Atlanta or Chicago. Must be authorized to work in the United States without employer sponsorship. The role focuses on Ad Tech / Mar Tech industry experience, specifically in e‑commerce, travel, and finance.

• 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.

• 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 / Mar Tech 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 Git Lab or Git Hub 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.

• Flexible time off without accrual.
• A generous number of paid holidays.
• Company‑sponsored team‑building events.
• An Employee Referral Program.
• Annual recognition awards.
• Hybrid work arrangements for optimal work‑life balance.
• Parental bonding leave.
• Backup care options for children and elders.
• An employee discount program.
• International SOS program for global support.
• Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment.

USD $88,540 – $135,632 annually.

All your information will be kept confidential according to EEO guidelines.

If you require accommodation or assistance with the application or onboarding process, please contact us.