Engineer II, Analytics
On-site · Knoxville, Tennessee, United States
Job Summary
Design, test, and implement new and/or improve existing features into Data & AI data products. Research, design, build, test, and track new descriptive and predictive applications for Data & AI that deliver impact to the organization. Integrate data from disparate sources into data products consumed by business stakeholders. Create and maintain architecture and systems documentation for analytical products, and maintain data product source code in GitHub. Identify opportunities for data quality improvements to boost performance and accuracy, automate processes, and establish best practices for Data & AI data products. Model data structures for visualization, support governance, and continually improve data pipelines and self-service capabilities for business analysts.
Required Qualifications
- Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline required
- Minimum 3 years' experience in analytics/engineering or related industries preferred
- Expertise in SQL
- Experience with Cloud Data Warehouse technology such as Databricks preferred
- Experience with source control tools such as GitHub
- Experience in R or Python
- Experience in Shiny/Streamlit applications preferred
- Experience in Tableau preferred
- Experience with Microsoft Office required
- Excellent written and verbal communication skills
- Ability to prioritize, execute tasks and meet deadlines
- Attention to detail and follow-up skills
- Problem solving and critical thinking skills
- Ability to take initiative, work independently and as part of a team
- Ability to handle sensitive and confidential information ethically and responsibly
- Less than 5% travel required
- Legal authorization to work in the United States without employer sponsorship
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