Job Description
JOB TITLE: Data Scientist
LOCATION: Mossville, IL
ON SITE/HYBRID/REMOTE: On site
SALARY: $37.00 - $40.00/hour
Benefits
LOCATION: Mossville, IL
ON SITE/HYBRID/REMOTE: On site
SALARY: $37.00 - $40.00/hour
Benefits
- 10 paid holidays per year
- 2 weeks of paid time off per year, the current year is pro-rated based on start date
- Access to the company’s medical insurance, including dental and vision
- Eligibility for life insurance and disability coverage for short or long-term disabilities or long- term care needs
- 401k eligibility with employer contribution annually
- Reimbursement for relocation expenses up to a certain amount on a case-by-case basis
- Yearly bonus based on company performance
- Visa sponsorship
- Dealer Work Order Standardization & Data Analysis:
- Analyzed and standardized dealer work order input data from various dealers to ensure consistency and accuracy.
- Collaborated with dealer Team Leads to obtain the right data inputs and improve the standardization process.
- Conducted comparisons between manual work order inputs and Snowflake database records to facilitate future automation efforts.
- Collaboration with Team & Application Development
- Worked closely with the team, which is building an application based on standardized work order inputs.
- Provided data structure requirements to ensure seamless integration of dealer work order inputs into the system.
- Automation & Snowflake Data Integration
- Partnered with the automation team to transition manual work order standardization into an automated pipeline within Snowflake.
- To ensure that developers have direct access to the standardized work order data stored in Snowflake.
- Power BI Reporting & Dashboard Enhancements
- Maintained and enhanced Power BI dashboards to meet client and internal reporting requirements.
- Implemented new visuals, relationship table changes, and data optimizations to improve reporting efficiency.
- BS or MS degree and 2-5 years of experience.
- Data Standardization & Analysis – Worked on improving data accuracy and standardization for dealership work orders.
- Automation & Data Pipelines – Helped transition manual processes into automated workflows within Snowflake.
- Collaboration & Cross-Functional Work – Coordinated with dealer leads, application developers, and automation teams.
- Power BI Development – Made enhancements to dashboards, created new visuals, and optimized data relationships.
- Snowflake Database Management – Worked with internal databases (e.g., Helios) within Snowflake to standardize and automate work order inputs.