Engineer II, Analytics
Engineer II, Analytics
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Salary Not Disclosed
1 Vacancy
Job Description
The purpose of this job is to 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.
- Assist in forming business strategy through exploratory data analysis and business understanding.
- Integrate data from disparate sources (internal and external) into data products that are consumed by business stakeholders
- Create and maintain architecture and systems documentation for analytical products developed by Data & AI
- Create and maintain data product source code in a source control repository (GitHub)
- Identify opportunities for improvement in data quality which leads to performance and accuracy improvements in Data & AI data products
- Consult on and execute opportunities for process automation
- Implement data structures using best practices for data modeling and visualization
- Identify opportunities for improvements to data quality to optimize data product performance
- Establish Data & AI Data best practices and build data products that provide single-source-of-truth foundational accuracy
- Continually improve ongoing data pipelines and simplify self-service support for busines stakeholders and Business Analysts
- Participate in Data and Analytics Governance best practices by documenting data structures pipelines and outputs across the entire organization
- Model behaviors that support the companys common purpose; ensure guests and team members are supported at the highest level
- Ensure all activities are in compliance with rules regulations policies and procedures
- Drive discussion with senior leaders to generate insights
- Complete other duties as assigned
Qualifications :
- Bachelors degree in mathematics computer science engineering or other quantitative discipline required Masters 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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
