Revenue Management Analyst

at  AFS Logistics

QUALIFICATION/REQUIREMENTS:

• Advanced Microsoft Office skills, including Excel (ability to manipulate data using spreadsheets and pivot tables), Power BI & PowerPivot
• Microsoft SQL, Visual Studio Analysis Services & DAX languages.
• Strong statistical modeling and quantitative/analytical skills.
• Analytical thinker who possesses the ability to work independently.
• Strong interpersonal, communication and organizational skills.
• Strong team player with the ability to lead and collaborate.
• Proven ability to manage multiple tasks and flexibility to adjust priorities.
• Proven track record of cross-functional project management leadership.

EDUCATION/EXPERIENCE:

• Master’s Degree required in relevant fields, including Mathematics, Statistics, Analytics, Economics, Industrial Engineering, Operations Research, and Supply Chain Management.
• Experience with High Level programming language, such as SAS, R, C# or Python.

PURPOSE/JOB FUNCTION:

Revenue Management Analyst position is based in Atlanta, Georgia, reporting to Vice President of Revenue Management. The RM analyst will be responsible for designing scientific models, building applications and tools for pricing analyses, and developing pricing and revenue management strategies within different segments of AFS. Through collaboration with other teams, the revenue management analyst will take an active role in the successful implementation of strategies to enable profitable growth and improved customer experience.

ESSENTIAL FUNCTIONS:

• Develop and implement revenue and profit maximizing strategies for all AFS modes that support future growth and client experience.
• Leveraging cutting edge and innovative analytics, establish predictive models in support of pricing, sales and operations activities.
• Formulate and design scientific models to analyze shipping, customer, pricing and cost data to develop insightful reports and dashboards.
• Monitor industry trend and competitive intelligence to ensure AFS provides timely adjustments on market pricing offers.
• Analyzing data, establish potential-based customer segmentation methodology to drive effective pricing strategy and tactics. Develop account and segment level business forecasts.
• Collaborate with Sales to streamline pricing request and approval guidelines and process.
• Assist on Enterprise client data science driven opportunities supporting Cost Management, Mode Optimization, Lane Analysis, Rate Studies, Network Optimization & various other initiatives.
• Ability to organize findings and translate into actionable insights using original or innovative techniques or style.