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a cutting-edge e-commerce company developing products for our own technological platform. Our creative, smart and dedicated teams pool their knowledge and experience to find the best solutions to meet project needs, while maintaining sustainable and long-lasting results. How? By making sure that our teams thrive and develop professionally. Strong advocates of hiring top talent and letting them do what they do best, we strive to create a workplace that allows for an open, collaborative and respectful culture.
What You Will Be Doing
The Product Analytics Lead plays a critical role in driving data-informed decision-making across product domains. This position is responsible for leading complex behavioral analyses and deep performance investigations, uncovering insights that shape product strategy and optimization. By designing and implementing advanced measurement frameworks, the role ensures that product decisions are grounded in robust, scalable analytics.
A key aspect of this position involves conducting cohort, retention, and segmentation analyses to identify meaningful patterns in user behavior and translate them into actionable opportunities. Additionally, the Product Analytics Lead upholds a high standard of analytical rigor across experimentation initiatives, ensuring that statistical methodologies are sound and that results are both accurate and reliable. This role acts as a strategic partner to product and cross-functional teams, bridging data insights with business impact.
Some Of Your Responsibilities Will Be
- Act as the primary liaison between Product Analytics and Data/BI teams, aligning on data needs and priorities.
- Define data requirements and support event taxonomy design.
- Ensure data quality, consistency, and governance standards across datasets.
- Support scalable reporting and dataset optimization aligned with enterprise data strategy.
- Define and oversee experimentation standards, ensuring statistical validity and consistency.
- Review experiment results and analytical outputs to ensure quality and accuracy.
- Coach analysts on statistical thinking and analytical frameworks.
- Drive continuous improvement of experimentation practices across teams.
- Mentor and support Product Analytics Analysts in their technical and professional growth.
- Support product roadmap prioritization through data-driven insights.
- Translate complex analyses into clear, strategic recommendations.
- Present insights to senior stakeholders and leadership.
- 5+ years of experience in Product Analytics, Data Analytics, or Data Science.
- Strong experience working with SQL and large datasets.
- Proven experience leading experimentation and A/B testing initiatives.
- Experience collaborating with BI and Data Engineering teams.
- Advanced statistical knowledge (e.g., hypothesis testing, regression, segmentation).
- Strong analytical thinking with the ability to validate methodologies and approaches.
- Experience designing scalable analytics frameworks.
- Strong stakeholder management and communication skills.
- Experience mentoring or coaching analysts.
- Strategic thinking with the ability to influence decision-making.
- Comfortable working in a fully remote, cross-functional environment.
- Flexible to work with departments in different time-zones.
- B2 English level
- Experience in enterprise or gaming environments.
- Experience with data warehousing solutions (e.g., BigQuery, Snowflake).
- Familiarity with Python or R.
- Experience building or contributing to data models.
- Exposure to machine learning use cases.
We provide the opportunity to be the best version of yourself, develop professionally, and create strong working relationships, whether working remotely or on-site. While offering a competitive salary, we also invest in our people's professional development and want to see you grow and love what you do. We are dedicated to listening to our team's needs and are constantly working on creating an environment in which you can feel at home.
We offer a range of benefits to support your personal and professional development:
Benefits
- 22 days of annual leave
- 10 days of public/national holidays
- Health insurance options
- Access to online learning platforms
- On-site English classes in some countries, and more.
Key Skills
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