Data Analyst

B.S. or M.S. in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, or a similar quantitative field.
Experience with applied analytical methodologies (machine learning) and using large data sets.
Proficiency in SQL Developer, Python.
Advanced knowledge of Visual ETL tools (Alteryx).
Experience with building and designing dashboards (Tableau, Power BI) and summarizing/presenting results.
Ability to translate abstract ideas into actionable initiatives.
Comfortable with implementing mathematical algorithms.

Write code and design robust, well-performing automated systems to assist the team in processing, validating, and analyzing monetization and transaction data from multiple sources.
Design and maintain revenue and pricing optimization algorithms for the WFS Land business.
Design and build dashboards or reports to present results to colleagues inside and outside the team.
Run ad-hoc analyses and determine when and how to increase automation/self-service for common requests.
Ensure accuracy of data delivery; validate reports against transactional and dimensional data and troubleshoot as needed.
Uncover revenue/margin opportunities through data analysis.
Interpret results, data, and model output and turn them into actionable insights.

Knowledge of transportation fuel distribution business model (gasoline, diesel).
Fuel pricing experience (contracts, spot, CPQ).