
Marketing Data Specialist
Há 6 dias
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
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