Salary
💰 $115,000 - $125,000 per year
About the role
- Create models in R or Python to predict Ryder’s variable maintenance costs
Work under tight deadlines to process predicted future fleet, update models, analyze new vs previous results, and load forecasted costs into Adaptive
Create monthly actual vs planned cost variance analysis and recommend operational actions
Display extreme attention to detail while loading plan and forecast numbers into Adaptive/Workday and validating accuracy
Prepare summaries and variance analyses for quarterly sign off presentations
Improve and expand data literacy and data science culture within the group and company
Mine data in SQL to discover trends and changes in profitability and advise business partners
Develop ad-hoc reports and analyses as requested by leadership
Partner with lines of business to formulate decision science strategies and models
Perform other duties as assigned
Requirements
- Bachelor's degree in Finance, Accounting, or equivalent
Master's or MBA degree preferred
Ten (10) years or more in Finance or Accounting required
Ten (10) years or more in Transportation, Logistics, or equivalent industry preferred
Four (4) years or more of management experience required
Key tools include Excel, SQL, and R or Python
Proficiency in SQL
Experience with Workday Financial Management and Adaptive Insights is a plus
Advanced knowledge of financial modeling and how business actions impact financial statements
Must have a proven ability to drive business results with their databased insights
Have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes
Ability to arrive at and give recommendations to senior management based on available information
Strong written and verbal communication skills for both technical and non-technical audiences