At World Fuel Services, our employees are the key to our global success. We are industry leaders due to the innumerable talents of our approximately 5000 strong professional team. Our people thrive in an entrepreneurial and culturally-diverse environment, where innovative thinking, collaboration and efficient execution are highly valued. Our high-performance culture is what allows us to drive sustained growth. Stronger together, we promote an environment where individuals can thrive.

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World Fuel Services, is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

World Fuel Services Corporation is a Fortune 250 Company. We provide energy, logistics, and technology solutions to aviation, marine, and land customers and suppliers around the world. Our global team of local professionals delivers innovative products and services at more than 8,000 global locations.

We offer sustainability solutions including renewable power sourcing with renewable energy certificates, evaluation, and management of both on-site and off-site solar projects with power purchase agreements, and sustainability strategy consulting.

Our mission is to create value for our business partners by delivering innovative solutions and logistics through a global team of local professionals.

World Fuel Services awarded the #39 spot on the Forbes 2021 America's Best Midsize Employers to work for.

Summary

As the Senior Data Analyst for World Fuel Services, you will be responsible for helping drive business value by leveraging business process analysis, data, analytics, quantitative methods, and technology to optimize business operations and solve commercial challenges. You 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. You will also 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

• Leading and managing multiple large projects in the Land Pricing and Analytics team.
• Conducting analysis of sales, product economics and available supply to set pricing daily.
• Preparing dashboards and presentations on pricing performance within the area of responsibility for senior management.
• Operationally executing daily fuel pricing for WFS customers.
• Working closely with revenue management, data/analytics, and supply on recommended pricing strategies in conjunction with sales planning processes to strengthen fuel wholesale sales activity.
• Monitoring financial markets to optimize pricing during volatile market conditions.
• Providing feedback to supply organization on market dynamics, competitors, and customer behavior.
• Liaising with other functional groups to reduce costs, maximize profits and ensure uninterrupted flow of business.
• Supporting forecasting of business performance as part of financial planning process.
• Automating processes within pricing function and integrate new capabilities in support of the business.
• 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.
• Build dashboards or reports, to present results to colleagues inside and outside the team.
• 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.

Requirements, Competencies and Certifications

• 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.
• Strong analytical and problem-solving skills.
• Motivated and able to work with limited supervision.
• Attention to detail and ability to meet strict deadlines.

Minimum Education & Experience

• Bachelor's or M.S. in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, or similar quantitative field.
• 1 to 3 years of experience required.

What You'll Love About Us

• Health Benefits. Medical with HSA and FSA options that includes infertility benefits. 100% coverage of preventative care, Dental, Vision, Teladoc, Employee Assistance Program.
• Prepare for the Future. 401K Retirement Plan 50% match.
• Rest and Relaxation. 4 weeks Paid Time Off and 8 Paid Holidays.
• Financial Peace of Mind. Short-Term Disability, Life and AD&D Insurance covered by WFS.
• Learning and Development. LinkedIn Learning.
• Additional Perks We Offer. Long Term Disability Insurance, Accident & Critical Illness Insurance, Legal & Identity Theft Protection.