Marketing Science Analyst (Test & Learn)

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Marketing Science Analyst (Test & Learn) San Jose, Costa Rica As a Marketing Science Analyst, your curiosity never ends. The next question is always on your mind, helping you to understand how marketing science fits in the big picture of a project. You bring in 1 to 3 years of experience, owning marketing science deliverables across a broad range of initiatives, with a strong focus on in-market testing and evaluation. You understand the nature and purpose of the main Digital marketing channels, enjoy collaborating with others, and are able to communicate clearly and effectively. You will: Support the design and execution of Test & Learn programs, including hypothesis development, experimental design, test setup, and statistical evaluation of results. Assist in the ideation, development, and execution of measurement frameworks, including recommendations on experiment type (A/B/n, matched control, pre/post, geolocation, and incrementality studies). Translate complex test results into clear and actionable insights through storytelling and data visualization. Gather marketing data across paid and owned channels to analyze campaign performances, understand user behaviors, and report findings. Collaborate with internal teams and partner agencies to deliver cohesive, insight-driven recommendations to internal stakeholders and clients. Occasionally support senior colleagues with analytics material for new business pitches and request for proposals. Build and maintain reusable analysis templates and code (SQL, R, or Python) to streamline and scale measurement. You have: Top-notch communication and collaboration skills. Strong attention to detail and comfort managing complex, fast-moving testing programs. Hands-on experience with common digital testing scenarios (e.g., creative tests, audience/targeting tests, budget allocation tests, or landing page tests) OR formal education including coursework in experimental design and statistical evaluation (e.g., identifying groups, controlling variables, calculating statistical significance). Familiarity with statistical analysis techniques and quantitative methods. Comfort working with imperfect, observational data and applying appropriate techniques for bias reduction to derive credible directional insights. Strong understanding of digital media channels (e.g.: Social, SEM, SEO, OLV, etc.) including how each one works and how they interact with one another. Ability to efficiently manage multiple projects at the same time, proactively communicating needs, roadblocks, and statuses to the necessary people.

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Company Intel

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