Marketing Data Analyst

🕒 July 31

🌐 Spain, Poland – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Marketing Analyst

👻 Ghost score 23%

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Logo of Booksy

Booksy

51 - 200 employees

Founded 2013

💼 Consulting

📦 Logistics

📣 Marketing

💰 $70M Series C on 2021-01

Consulting • Logistics • Marketing

Booksy is a digital platform that connects customers with beauty and wellness service providers, such as hair salons, barbershops, nail salons, skincare specialists, and massage therapists. It offers users the convenience of booking appointments online with various service providers in cities around the world, enhancing the way beauty and wellness businesses operate by providing them with tools to manage appointments, client relationships, and marketing. Booksy aims to simplify the process of finding and scheduling beauty and wellness treatments, making it easier for customers to discover and engage with local professionals.

📋 Description

• Act as strategic co-pilot to our Global Growth and Performance Marketing leadership. • Own performance diagnostics and reporting (WBR/MBR) across every marketing channel, using Looker and BigQuery to explain not just what happened, but why. • Partner directly with marketing leadership on media mix and budget decisions. • Design incrementality and causal impact experiments to prove true marketing lift. • Help calibrate our Marketing Mix Models alongside our econometrics partners. • Champion self-service analytics by scaling our governed Looker semantic layer so regional teams can find their own answers.

🎯 Requirements

• Extensive experience in a commercial, financial, or marketing analytics role, with strong SQL skills and hands-on experience querying complex datasets in a cloud data warehouse (e.g. BigQuery). • Expert-level experience with a modern BI platform, ideally Looker (LookML), including building governed semantic layers and intuitive self-serve dashboards. • Solid grounding in marketing science - attribution vs. incrementality, Marketing Mix Modeling (MMM), and causal inference methods such as geo-holdout or "go-dark" testing. • A track record of turning complex data and statistical models into clear, compelling stories for senior, non-technical stakeholders. • At a minimum we require conversational level English language skills. Why? English is our company language and is used for any business-wide communications, so we need you to be able to speak English to feel like an integrated part of Booksy. Given this role's global stakeholder exposure, we're looking for upper-intermediate (B2+) proficiency or above. • It will also help you to have… • Commercial fluency - you're comfortable working with revenue, margin, CPA, ROI, and LTV:CAC. • Experience collaborating with external econometric or data science partners on MMM calibration. • Experience with modern CRM/data stacks (e.g. Salesforce Marketing Cloud / Data 360) and cross-functional data engineering work.

🏖️ Benefits

• We're proudly distributed across the globe, with each market being remote-first. This role is open to candidates based anywhere in Europe. • Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in. • Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists.

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