Data Analyst
Data Analyst will be part of the WFS Land organization helping drive business value by leveraging business process analysis, data, analytics, quantitative methods and technology to optimize business operations and solve commercial challenges. Role will be involved in the areas of pricing technology, pricing process analysis, process automation, purchasing strategy, unit margin management, asset optimization, market research, sales support, sales management, supply & trading support and business performance analysis. The Data Analyst will be responsible for supporting the revenue management activities for WFS Land by leveraging data and technology concepts to automate activities, integrate acquisitions and develop insights on unit margin optimization by building data/technology solutions (analysis, reports, tools, analytics, forecasting models, demand models). The role will understand commercial business processes, have the ability to document commercial activities, relate data to these processes, communicate effectively with internal and external stakeholders and help engage in business re-engineering activities to enhance the performance the WFS Land organization.
Key responsibilities will include:
- 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 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 insight.
Required Skills:
- B.S. or M.S. in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, or similar quantitative field
- Experience with applied analytical methodologies (machine learning) and using large data sets.
- Proficiency in the use of SQL Developer, Python
- Advanced knowledge of the following systems: 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.
Preferred:
- Knowledge of transportation fuel distribution business model (gasoline, diesel)
- Fuel Pricing experience (contracts, spot, CPQ)