Senior Data Analyst at SKIMS focused on enhancing data - driven strategies for global growth. Partnering with key business functions to provide actionable insights and optimize analytics processes.
About the role
- Data Analyst role at Navy Federal focusing on optimizing data pipelines and generating insights. Collaborating to ensure data quality, alignment with business objectives, and implementing best practices.
Responsibilities
- Design, develop, and optimize data pipelines and systems for efficient data collection, integration, and storage.
- Interpret data to generate insights and implement reliable data processing workflows that ensure data quality and system stability.
- Apply data governance practices across ETL pipelines, metadata management, security, and lineage tracking.
- Develop understanding of business objectives to align data solutions and address increasingly complex data challenges while building proficiency in standard procedures and techniques.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 3-5 years of experience in data engineering and governance.
- Advanced knowledge of SQL language.
- Advanced understanding of API frameworks and JSON transformations.
- Understanding of various data warehousing architectures (Mongo, Azure, SQL, etc.).
- Basic understanding of business and operating environment.
- Basic knowledge of programming languages (Mongo, Python, PowerShell, R, SQL, C#).
- Experience with data management, processing and analytic tools (Databricks).
- Experience with data integration and processing tools.
- Basic problem-solving skills.
- Basic communication and collaboration skills.
- Working experience with data warehousing solutions, ETL tools, and data system design.
- Basic knowledge of data engineering principles, technologies, and architecture.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
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