Paramo Technologies

Senior Product Analytics Analyst

Paramo Technologies

full-time

Posted on:

Location Type: Remote

Location: Argentina

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About the role

  • 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.

Requirements

  • 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.
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLstatistical knowledgeA/B testingdata modelinghypothesis testingregressionsegmentationanalytics frameworksmachine learningdata quality
Soft Skills
analytical thinkingstakeholder managementcommunication skillsmentoringstrategic thinkingcoachingcontinuous improvementdata-driven insightscollaborationflexibility