We are seeking a highly skilled and experienced Data Analyst to join our Data Engineering team. As a key member of our team, you will be responsible for providing data analysis support to Global Operations across the organization. Your primary focus will be on resolving privacy tasks, on call tasks that require backfilling, tracking DDT tasks, creating bug intake forms, and deprecating stale tables.
Responsibilities:
- Maintain and build documentation for data assets (pipelines and dashboards) developed by Data Engineering team
- Resolve privacy issues and implement data quality checks where applicable
- Ensure timely availability of data tables
- Deprecate tables with 0 usage or stale data and identify next tables for deprecation
Requirements:
- 2+ years of experience in developing ETL pipelines, modify existing databases and database management systems
- Strong SQL skills
- Knowledge of data warehousing concepts and ETL processes
- Experience with data visualization tools such as Tableau or Power BI
- Excellent problem-solving skills and attention to detail
- Ability to work independently and collaboratively as part of a team
- Strong communication and interpersonal skills
Nice to Have:
- Familiarity with data infrastructure and tools (e.g., Hive, Presto, Spark)
- Experience with data governance and data quality best practices
- Experience with Python programming language
- Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
