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Business Intelligence Analyst - Simulation Developer

Develops data analytic, algorithm, simulation, and optimization (prescriptive analytics) models to solve problems by applying statistical techniques to large, diverse data elements. Provides data mining and predictive analytics to identify opportunities to improve supply chain performance and commercial profitability. 

Provides data extraction, economic analysis, and report development for the Transportation department across all aspects of the business, including marine and rail operations, demurrage, chartering and vessel performance, barge fleet performance and utilization, etc.

  • Solves complex analytical challenges for all businesses and develops custom algorithms and in-depth data analytics.
  • Uses statistical analysis, machine learning, pattern recognition, and data visualization to solve supply chain optimization or commercial profitability opportunities.
  • Develops refinery logistics simulation models using Simio Enterprise software.
  • Develops and publishes predictive marine route analysis to improve vessel optimization and predictability.
  • Processes unstructured data into a form suitable for analysis. Develops and maintains regular reporting of metrics and key performance indicators (KPIs).
  • Develops and publishes the Business Unit Report (BUR) Transportation deliverables to senior management.
  • Provides data mining capabilities from various systems (MINT, SAP-TSW, Veson-IMOS, etc.), and serves as the go-to person for accessing data and associated analysis.
  • Analyzes drivers of demurrage, identifies bottlenecks that could be solved by investment in tanks and logistics, and pre-screens and then recommends projects to reduce costs.
  • Champions the development of selected projects, coordinates with internal groups including Refining Operations, Crude Supply & Trading, Product Supply & Trading, Planning & Economics, and Strategic Development & Technology.
  • Serves/Acts as a business process expert, including facilitating process improvement initiatives that reduce supply chain costs across the commercial floor.
  • Serves/Acts as a technical expert in system tools and collaborates with information systems team to implement enhancements.

This position is salaried exempt status, which means you are not eligible for overtime pay.

Qualifications

  • Bachelor’s or higher level degree - Mathematics, Engineering, Data Science, Business, Finance or Management Information Systems required.
  • 3+ years of experience in the following area(s): transportation, logistics or engineering required.
  • Simio Simulation Modeling or other simulation & optimization solutions preferred.
  • Experience in Refining Planning & Economics preferred.
  • Experience in the petroleum marine transportation or other logistics/supply chain-related field preferred.
  • Coding knowledge and experience with VBA, Python, R languages preferred.

Position level and salary will be commensurate with qualifications and experience.

Valero's employees are the heart of its success, and there is a reason why the company is an employer of choice in the fuels manufacturing and marketing industry. It’s not just the excellent benefits package, or the opportunities for personal growth, it’s also the caring and committed culture of the organization that makes everyone feel like they’re truly part of a team. For more information, visit Valero.com.

Valero is an EEO/AA Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to legally protected status, including race/ethnicity, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, age, disability, protected veteran or any other status protected by applicable federal, state or local laws.

Please be advised, if you are viewing this position on a website that lists an estimated salary rate/range, it was not provided by Valero. Valero’s market specific salary rate/range will be provided during the recruiting process and tends to be higher than what is estimated by such websites. 

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