Marketing Analytics Specialist

About This Opportunity

We are representing a fast-growing global e-commerce client in the industrial supply sector. They need a Marketing Analytics Specialist to join their Data Analytics team and bring statistical rigor to paid advertising measurement and strategy.

This is a data-oriented ownership role, not a traditional marketing position. Our client seeks a paid platform owner with a quantitative background who has worked extensively with paid advertising data—not a media buyer or campaign manager who has picked up SQL along the way. If your strengths are creative strategy, platform certifications, or campaign execution, this role will not be the right fit.

You will work directly with senior data and marketing leadership in a team that sits at the center of business decision-making. Your output will materially shape where marketing budget goes, how return is measured, and how new ideas are tested.

Responsibilities

• Extend and improve attribution models, challenge assumptions, try alternative approaches, and quantify uncertainty
• Take full ownership of paid advertisement strategy based on data insights and experimental results
• Design experiments end-to-end: A/B tests, geo experiments, holdout tests, and conversion rate optimization—all with proper power analysis, randomization, and evaluation
• Build models that inform capital allocation across channels: saturation curves, diminishing returns analysis, and marketing mix modeling
• Analyze complex datasets across customer journeys, search query data, marketplace performance, and CRM systems
• Develop customer and audience models that inform targeting strategy, channel selection, and acquisition cost thresholds
• Build and maintain the reporting infrastructure the business uses to track customer acquisition cost, profitability, and lifetime value

What We're Looking For

• Background in a quantitative field: Statistics, data science, physics, computer science, or similar. A university degree in one of these is strongly preferred; a strong demonstrable track record can substitute
• Paid media expertise: Deep understanding of paid acquisition across multiple channels and how to balance direct response with branding objectives
• Technical proficiency with tools like BigQuery, Python or R, and data visualization platforms
• AI-native efficiency: Enthusiasm for using AI and LLMs to improve productivity and enable new internal workflows
• Outcome-driven mindset: Motivated by results like revenue and profit rather than simple output metrics
• Collaborative investigator: Ability to work cross-functionally with Product and Operations teams to provide data insights and measurement frameworks
• A skeptical disposition: Uncomfortable with conclusions drawn from underpowered tests or last-click attribution reports

Work Conditions: Remote, full-time position. Flexible work hours with availability required Monday through Friday and a minimum overlap of 12:00–17:00 GMT+1.

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to understand your background and ensure alignment with the role requirements. Qualified candidates are then submitted to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our recruiting process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity. We encourage applications from candidates of all backgrounds.