Product Analyst Role

New

Skills

A/B Testing AI Tools Cohort Studies Data Quality Assurance Looker Product Analytics Regression Analysis SQL (BigQuery) Tableau Time-Series Forecasting

The Product Analyst will engage in lifecycle monitoring and experimentation, predictive analytics, and user sentiment analysis to drive product decisions. This position involves a focus on data integrity and the use of AI tools for enhanced analysis.

Key Responsibilities
  • Track core metrics and design A/B tests to analyze user behavior.
  • Apply regression and time-series forecasting techniques to identify trends.
  • Synthesize qualitative signals with quantitative metrics for competitive intelligence.
  • Define measurement requirements and ensure the quality of data collected.
  • Utilize AI tools to automate data exploration and maintain analysis quality.
  • Translate analytical findings into actionable narratives for product teams.
Required Skills & Qualifications
  • 3–5 years of hands-on experience in Product Analytics, preferably in SaaS/tech.
  • Proficiency in SQL, with BigQuery preferred for complex data wrangling.
  • Strong understanding of advanced statistics, including regression and significance testing.
  • Experience conducting A/B tests and cohort studies, with the ability to translate results effectively.
  • Familiarity with BI tools such as Tableau or Looker, along with fluency in AI-assisted tools.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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