What are the responsibilities and job description for the Analytics Engineer Tampa - FL - Florida position at Jobs via Dice?
Job Title: Analytics Engineer (ThoughtSpot)
Location: Tampa, FL - onsite
Duration: 6 months
GBaMS ReqID: 10481146
Payrate : Bill Rate: 65hr C2C
Project Scope Objectives
These hires will support our Payments Technology Agility Transformation program, specifically enabling our internal engineering analytics through ThoughtSpot.
The work involves building, extending, and optimizing ThoughtSpots embedded analytics capabilities to improve visibility into engineering performance and delivery patterns across Payments Technology.
Required Skillset
Both roles are full-stack engineering positions, but with a clear emphasis on the following
ThoughtSpot-related areas Strong hands-on experience with ThoughtSpot development, including Worksheet and view modeling
Data modeling for search-driven analytics TML (ThoughtSpot Modeling Language)
Liveboard development and optimization
Solid understanding of integrating ThoughtSpot with upstream data sources and pipelines
Ability to work across the full stack (JavaNodePython acceptable), with the ability to extend or operationalize ThoughtSpot capabilities when needed
Experience designing and delivering analytics features that are performant, maintainable, and user-centric
Technologies Tools (Preferred)
ThoughtSpot SQL data modeling fundamentals
Familiarity with cloud environments (AWS preferred)
Experience with APIs and integration patterns
Jira familiarity is a plus (work will be aligned to our engineering operating model)
Location: Tampa, FL - onsite
Duration: 6 months
GBaMS ReqID: 10481146
Payrate : Bill Rate: 65hr C2C
Project Scope Objectives
These hires will support our Payments Technology Agility Transformation program, specifically enabling our internal engineering analytics through ThoughtSpot.
The work involves building, extending, and optimizing ThoughtSpots embedded analytics capabilities to improve visibility into engineering performance and delivery patterns across Payments Technology.
Required Skillset
Both roles are full-stack engineering positions, but with a clear emphasis on the following
ThoughtSpot-related areas Strong hands-on experience with ThoughtSpot development, including Worksheet and view modeling
Data modeling for search-driven analytics TML (ThoughtSpot Modeling Language)
Liveboard development and optimization
Solid understanding of integrating ThoughtSpot with upstream data sources and pipelines
Ability to work across the full stack (JavaNodePython acceptable), with the ability to extend or operationalize ThoughtSpot capabilities when needed
Experience designing and delivering analytics features that are performant, maintainable, and user-centric
Technologies Tools (Preferred)
ThoughtSpot SQL data modeling fundamentals
Familiarity with cloud environments (AWS preferred)
Experience with APIs and integration patterns
Jira familiarity is a plus (work will be aligned to our engineering operating model)