Tameson is a global e-commerce business helping SMEs source industrial components. We are looking for a Marketing Analytics Specialist to join our Data Analytics team and bring statistical rigor to how we run and measure paid advertising.
This is a data role, not a marketing role. We want an analyst 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 fit.
You will work directly with the Data Analytics Lead and Marketing Lead in a team that sits at the center of how Tameson makes decisions. Your output will materially shape where marketing budget goes, how we measure its return, and how we test new ideas.
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Built a Markov-chain multi-touch attribution model to improve our early-funnel bidding in paid ads channels.
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Built LTV and cohort retention models that let us value customer segments differently, and feed those values back into bidding and targeting.
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Designed and ran A/B and CRO experiments to validate channel changes, on-site changes, and bidding strategies.
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Built the BigQuery and Google Data Studio reporting layer that the business actually uses to track CAC, POAS, and LTV.
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Extend and improve our attribution work, challenge assumptions, try alternative models, quantify uncertainty.
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Design experiments end-to-end: A/B, geo, holdout, CRO. All with proper power analysis, randomization, and evaluation.
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Build models that inform capital allocation across channels: saturation curves, diminishing returns, MMM where it earns its keep.
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Analyze complex datasets across customer journeys, search query data, marketplace performance, and CRM.
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Develop customer and audience models that inform who we should target, where, and how much we should pay to reach them.
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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
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Paid Media Expertise: You have a deep understanding of paid acquisition across multiple channels and know how to balance direct response with branding.
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AI Native Efficiency: You have an enthusiasm for using AI and LLMs to improve productivity and enable new internal workflows.
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Outcome Owner: You are driven by results like revenue and profit rather than simple output.
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Collaborative Investigator: You work cross functionally with Product and Operations teams to provide data insights and measurement frameworks.
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A skeptical disposition: Uncomfortable with conclusions drawn from underpowered tests or last-click reports.
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Direct Business Impact: Your work directly correlates to sales and bottom line profitability. You will build the analytics dashboards that allow you to point to a chart and say, "This ad drove that revenue growth".
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Innovation: We are an aggressive, modern company that values technical experimentation. We want you to test new channels, automate complex workflows, and deploy the latest data engineering tools to keep us ahead.
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Company culture: We value collaboration, professional growth, and fun. We regularly have company activities (online and offline) to stay connected and inspired.
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Growth: We are scaling rapidly. As we expand, your professional opportunities grow.
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Employment type: Full time position (remote).
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Working hours: Flexible work hours, with availability required Monday through Friday and a minimum overlap of 12:00–17:00 GMT+1.
Ready to turn data into our biggest competitive advantage? Apply today.
