About the Role

We are seeking a Data Marketing Specialist with a strong background in B2C marketing performance analytics to help us drive smarter, faster, and more customer-focused decisions. You will play a key role in measuring and optimizing marketing campaigns across digital channels, generating actionable insights, and supporting growth strategies through data.

You’ll work cross-functionally with marketing, growth, product, and data teams to help scale customer acquisition, retention, and engagement through a deep understanding of customer behavior and channel performance.

Key Responsibilities

- Analyze and interpret customer and campaign data from various sources (CRM, paid media, email, social, web analytics, etc.).

- Develop and maintain dashboards to monitor KPIs such as CAC, CLV, ROAS, churn rate, and conversion funnel performance.

- Create and optimize segmentation strategies for targeted campaigns.

- Design and evaluate A/B tests and experimentation roadmaps for marketing initiatives.

- Work closely with media and CRM teams to assess and improve acquisition, retention, and reactivation strategies.

- Build data models and insights that support customer journey analysis and lifecycle marketing.

- Identify key growth opportunities through predictive analysis and behavioral data.

- Present insights and recommendations to marketing stakeholders in a clear and actionable format.


Required Qualifications

- Bachelor’s degree in Marketing, Statistics, Data Science, Economics, or related fields.

- 5+ years of experience in marketing data analysis in B2C companies (e-commerce, apps, retail, D2C, etc.).

- Strong command of SQL, Excel, and marketing data tools.

- Experience with BI platforms (e.g., Looker, Tableau, Power BI, Google Data Studio).

- Familiarity with Google Analytics (GA4), Meta Ads, Google Ads, email marketing platforms, and CRM systems.

- Experience with A/B testing tools (e.g., Optimizely, VWO) and statistical analysis.

- Strong business acumen and the ability to connect data with marketing strategy.

Preferred Qualifications

- Experience in customer segmentation, LTV modeling, churn prediction, or cohort analysis.

- Knowledge of Python or R for data modeling is a plus.

- Experience working in a high-growth B2C environment (e.g., marketplace, subscription services, mobile apps).

- Ability to translate complex data into simple, actionable insights for non-technical stakeholders.

- Comfortable working in a fast-paced, data-driven team with shifting priorities.

What we offer

• Private medical insurance
• Gym & wellness benefit with Wellhub
• Remote, hybrid, and flexible work; with office options in São Paulo and Rio de Janeiro
• English classes benefit with Cambly
• 30 days holidays and parental leave, with flexible working policies
• International exposure with direct interactions with the UK/EU team
• Annual company retreat
• A fun and friendly working environment with sharp and motivated co-workers
• Join in the early stages of one of the most promising scale-ups in the health & wellness space