The Product Analytics Lead at Paramo Technologies will drive data-informed decision-making across product domains by leading complex behavioral analyses and performance investigations. This role is central to shaping product strategy through rigorous analytics, working in a fully remote, cross-functional environment.
What You'll Do
- 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.
What We're Looking For
- 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
Nice to Have
- 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.
Technical Stack
- SQL
- BigQuery
- Snowflake
- Python
- R
Benefits & Compensation
- 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
Work Mode
Fully remote, cross-functional environment with flexibility to work across time zones.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
