Data Analyst - Big Tech Experience

Summary:

• 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, oncall tasks that require backfilling, tracking DDT tasks, creating bug intake forms, and deprecating stale tables.
• The main function of a data analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
• A typical database analyst/programmer is responsible for planning, coordinating and implementing security measures to safeguard the computer database.

Job 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
• Test programs or databases, correct errors and make necessary modifications.
• Modify existing databases and database management systems or direct programmers and analysts to make changes.
• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.

Education/Experience:

• Associate's degree in computer programming or equivalent training required.

Must-Have Skills:

• 2 years of experience in developing ETL pipelines, modify existing databases and database management systems
• Strong SQL skills AND Experience with data visualization tools such as Tableau or Power BI
• Knowledge of data warehousing concepts and ETL processes

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)