Analytics Engineer - Virtual Office

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Summary: 

In this role, you will manage the lifecycle of product tools and solutions. You will gather requirements, create, maintain, and work to ensure quality assurance across multiple domains to develop high-quality automated analytics products.

Responsibilities: 

• Develop medium complexity analytics products and new stories requiring collaboration with others.
• Gather, analyze, and document user requirements, and translate into user stories.
• Conduct stakeholder interviews to gather requirements and understand current business processes, partnering with other team members.
• Develop and maintain product backlogs and implement requirements traceability from user stories to product features.
• Write SQL code and create packages for use in Extract, Transform, and Load (ETL).
• Develop logical and physical models to support a scalable architecture, used to build out a data warehouse.
• Evaluate physical data models to ensure they align to the corresponding logical data models.
• Utilize technologies including Automic to schedule packages.
• Participate in architecture and visualization design sessions.
• Ensure requested solutions are available in the technology stack by understanding visualization options within the technical product being used.
• Generate test plans and conduct testing to verify the solution creates the correct analytics.
• Conduct investigation, diagnosis, and resolution of product inconsistencies.

Qualifications:

• Relevant degree preferred. Degree in Computer Science or Engineering a plus.
• 2 or more years of relevant data analysis experience required.
• Experience in database management systems, …