Job Details

Job Description

The purpose of this job is to design, test, and implement new and/or improve existing features into Data & AI data products.

1. Research, design, build, test, and track new descriptive and predictive applications for Data & AI that deliver impact to the organization.
2. Assist in forming business strategy through exploratory data analysis and business understanding.
3. Integrate data from disparate sources (internal and external) into data products that are consumed by business stakeholders
4. Create and maintain architecture and systems documentation for analytical products developed by Data & AI
5. Create and maintain data product source code in a source control repository (GitHub)
6. Identify opportunities for improvement in data quality, which leads to performance and accuracy improvements in Data & AI data products
7. Consult on and execute opportunities for process automation
8. Implement data structures using best practices for data modeling and visualization
9. Identify opportunities for improvements to data quality to optimize data product performance
10. Establish Data & AI Data best practices and build data products that provide single-source-of-truth foundational accuracy
11. Continually improve ongoing data pipelines and simplify self-service support for busines stakeholders and Business Analysts
12. Participate in Data and Analytics Governance best practices by documenting data structures, pipelines, and outputs across the entire organization
13. Model behaviors that support the company's common purpose; ensure guests and team members are supported at the highest level
14. Ensure all activities are in compliance with rules, regulations, policies, and procedures
15. Drive discussion with senior leaders to generate insights
16. Complete other duties as assigned

Qualifications:
Qualifications

• Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline required, Master's degree preferred
• Minimum 3 years' experience in analytics/engineering or related industries preferred
• Expertise in SQL
• Expertise in R or Python

Additional Information

Nation-wide Medical Plan/Dental/Vision
401(k) and Flexible Spending Accounts
Employee Fuel Discount
Adoption Assistance
Tuition Reimbursement
Onsite Gym and Cafeteria
Weekly Pay

All your information will be kept confidential according to EEO guidelines

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