Vizient is looking to develop high-quality automated analytics products by managing the lifecycle of product tool(s) and solution(s) from gathering requirements, creation, maintenance, and quality assurance across multiple domains.
Requirements
- Proficiency in SQL, Python, or other data transformation languages preferred.
- Experience with data warehouses, ETL tools, and cloud platforms (e.g., Snowflake, AWS, Google Cloud, Azure) preferred.
- Develop logical and physical models to support scalable architecture (e.g., used to build out a data warehouse).
- Evaluate physical data models to ensure they align to the corresponding logical data models.
- Create packages for use in ETL and utilize technologies (e.g., Automic) to schedule packages.
- Develop test plans, conduct system regression testing, and use SQL to validate analytic outputs.
- Investigate, diagnose, and resolve product inconsistencies to maintain solution integrity.
Responsibilities
- Develop logical and physical models to support scalable architecture (e.g., used to build out a data warehouse).
- Evaluate physical data models to ensure they align to the corresponding logical data models.
- Create packages for use in ETL and utilize technologies (e.g., Automic) to schedule packages.
- Participate in architecture, design, and visualization sessions to guide solution development.
- Ensure requested solutions are available in the technology stack (e.g., if someone requests a waterfall chart, can it be built using our technology) by understanding visualization options within the technical product being used.
- Develop test plans, conduct system regression testing, and use SQL to validate analytic outputs.
- Investigate, diagnose, and resolve product inconsistencies to maintain solution integrity.
Other
- Gather, analyze, and document user requirements and translate them into user stories, with minimal guidance.
- Conduct stakeholder interviews to gather requirements and understand current business processes, partnering with other team members.
- Develop and maintain product backlog(s) and implement requirements traceability from user stories to product features.
- Relevant degree preferred. Degree in Computer Science or Engineering a plus.
- 2 or more years of relevant data analysis experience required.
