Engineer II, Analytics

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 business 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 company’s 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

• 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
• Experience working with Cloud Data Warehouse technology such as Databricks preferred
• Experience working in 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

Additional Information

• Less than 5% travel required
• General office work requires sitting or standing for long periods of time
• Able to work evenings and odd hours as needed
• This position requires candidates to be legally authorized to work in the United States without employer sponsorship