Senior Product Analytics Analyst

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Serve as the main point of contact between Product Analytics and Data/BI teams, ensuring alignment on data requirements and priorities.

• Establish data specifications and assist in the design of event taxonomy.

• Maintain data quality, consistency, and governance standards across various datasets.

• Facilitate scalable reporting and optimize datasets in line with the enterprise data strategy.

• Define and manage experimentation standards to ensure statistical validity and uniformity.

• Evaluate experiment outcomes and analytical results to guarantee quality and precision.

• Mentor analysts in statistical reasoning and analytical methodologies.

• Promote continuous enhancement of experimentation practices among teams.

• Guide and assist Product Analytics Analysts in their technical and career development.

• Aid in prioritizing the product roadmap through insights derived from data.

• Convert complex analyses into straightforward, strategic recommendations.

• Deliver insights to senior stakeholders and leadership.

⛳️ Requirements

• Over 5 years of experience in Product Analytics, Data Analytics, or Data Science.

• Extensive experience with SQL and large datasets.

• Demonstrated experience in leading experimentation and A/B testing projects.

• Collaborative experience with BI and Data Engineering teams.

• Advanced knowledge of statistics (e.g., hypothesis testing, regression, segmentation).

• Strong analytical skills with the capability to validate methodologies and strategies.

• Background in designing scalable analytics frameworks.

• Excellent stakeholder management and communication abilities.

• Experience in mentoring or coaching analysts.

• Strategic mindset with the power to influence decision-making.

• Ability to work comfortably in a fully remote, cross-functional environment.

• Flexibility to collaborate with departments across various time zones.

• Proficient in English at a B2 level.

• Nice to have:

• Experience in enterprise or gaming sectors.

• Familiarity with data warehousing solutions (e.g., BigQuery, Snowflake).

• Knowledge of Python or R.

• Experience in building or contributing to data models.

• Exposure to machine learning applications.

🏝️ Benefits

• 22 days of annual leave

• 10 days of public/national holidays

• Health insurance options

• Access to online learning platforms

• On-site English classes available in select countries, and more.