Senior Business Insights Specialist

Há 2 dias

Curitiba, Paraná, Brasil beBeeData Tempo inteiro R$100.000 - R$130.000
Senior Data Analyst Position

We are seeking a seasoned data analyst to drive strategic decision making across our organization.

Key Responsibilities
  • Analyze user behavior, feature adoption, product performance metrics, and user engagement patterns.
  • Design, implement, and analyze product experiments and A/B tests to optimize user experience and product features.
  • Build and maintain customer retention models, cohort analysis, and churn prediction models.
  • Analyze customer journey, lifecycle stages, conversion funnel optimization, and user segmentation.
  • Perform complex data analysis using advanced SQL techniques for product insights.
  • Create and maintain product analytics dashboards and automated reports.
  • Partner with cross-functional teams including product, engineering, marketing, and customer experience.
  • Provide analytical support for product team decisions, feature launches, and strategic initiatives.
Required Qualifications
  • 5-7 years of data analysis experience with focus on product analytics and user behavior.
  • Expert SQL Skills: Advanced SQL proficiency including complex joins, window functions, CTEs, and query optimization.
  • A/B Testing Expertise: Strong background in experimental design, statistical analysis, hypothesis testing, and A/B testing platforms.
  • Product Analytics: Deep experience with product analytics platforms and product metrics.
  • Statistical Analysis: Solid understanding of statistical significance, confidence intervals, power analysis, and experimental design.
  • Data Visualization: Proficiency with creating clear, actionable dashboards and reports using BI tools.
  • User Behavior Analysis: Experience analyzing user journeys, conversion funnels, and behavioral patterns.
  • Business Intelligence: Experience with Looker, Tableau, or similar BI platforms.
Preferred Qualifications
  • Retention Analytics: Experience with cohort analysis, churn modeling, customer lifetime value, and retention optimization.
  • Programming Skills: Python or R for advanced analytics, statistical modeling, and automation.
  • Digital Product Experience: Background in consumer-facing digital products, e-commerce, or marketplace businesses.
  • Customer Experience: Understanding of customer journey mapping, CX metrics, and user experience analytics.
  • Advanced Analytics: Experience with machine learning models for user behavior prediction and segmentation.
  • Data Warehousing: Experience with Snowflake, BigQuery, or similar cloud data warehouse platforms.
  • dbt Knowledge: Familiarity with dbt for data transformation and modeling.
  • Communication Skills: Strong ability to present findings and recommendations to product and business stakeholders.

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