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Product Data Analyst L3
Data Analyst
Mid‑level Product Data Analyst responsible for designing data pipelines, performing advanced analytics, and delivering insights using AWS Glue, Amazon Athena, Apache Spark, and causal inference techniques while documenting work in Confluence.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines on AWS Glue to ingest and transform product data.
- Query large datasets with Amazon Athena and Apache Spark to generate actionable business insights.
- Apply causal inference methods to evaluate product experiments and measure impact on key metrics.
- Collaborate with product, engineering, and analytics teams to define data requirements and ensure data quality.
- Document data models, pipeline architecture, and analytical findings in Confluence for cross‑functional visibility.
Requirements
- 3+ years of experience in data analysis or data engineering, preferably in a product‑focused environment.
- Proficiency with AWS Glue, Amazon Athena, and Apache Spark for data processing at scale.
- Strong knowledge of statistical methods, especially causal inference, and ability to translate results into business recommendations.
- Excellent SQL skills and experience with Python or Scala for data manipulation.
- Effective communication and documentation skills, with experience using Confluence or similar collaboration tools.
Skills
apache sparkconfluence