Marketing Data Science Advisor (Multi-Level

Independently assumes lead roles in larger and higher revenue threshold projects. Key contributor to deriving business insights and analyzing business problems of high complexity. generates computer aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies.

The incumbent for this positions will be part of the International Express Forecasting team in Corporate Strategy and Market Analytics department and this job role will include:

• Develop deep understanding of Fed Ex and TNT customer/product portfolio, business profile, history, and stay aligned with corporate strategies, and forecast needs

• Collaborate with mega regions to develop International Express short-term business planning and medium term strategic outlook

• Stay on top of relevant market trends, competitive activities, market demand/capacities, world economy, international trade, Fed Ex/TNT integration, Pricing strategies, Marketing/Sales/Operation strategies, customer trends and incorporate insights into the forecasting methods for improved strategic planning and decision making

• Apply advanced analytical methods (Econometrics/Statistics/AI/DSML) and programming languages (SAS on Linux, Python and other) to develop/improve large scale forecasting models for Fed Ex and TNT Air Express, intra-regional Ground and Domestic products

• Provide timely forecast update on business performance and support various needs for operation and business decisions

• Develop forecast/plan reporting utilities and infrastructure to support reviews with executives and related business units in Fed Ex mega regions

• Continuously improve revenue plan process and pushing for forecasting transformation, acquiring and aligning forecasting/planning assumptions and parameters for worldwide regions/countries related to regional strategies, and various assumptions

• Collaborate with regional/functional stakeholders for seamless alignment in the end-to-end planning processes

• Providing ad hoc executive support related to Guess forecast, earnings release, yield decomposition/analysis, and peak season forecast/performance

• Master's Degree in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research.

• Three (3) years work experience required in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.

• Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research), SAS, SQL, Unix or any fourth-generation programming language.

• Strong human relations, communications and analytical skills.

• More advanced degrees may offset experience requirements.

• Ability to handle ambiguous situation well

• Advanced skills in analytics and modeling techniques including programming languages

• Strong influencer who can work with cross-opco stakeholders in shaping strategic directions of the company

• Story telling (articulate problem statement/assumptions & critical insights from complex models in simple terms)

• Excellent team player who can work closely with Corporate Strategy, Express Finance and the Regional planning/marketing teams

• Problem solver with a positive mindset to deliver purple promise

• This position will be located in Memphis, Tennessee. Ability to work remotely within the United States may be available based on business needs. Relocation assistance may also be available based on business needs.

Monthly Salary: $8713.16 - $12396.00

The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your remote work location (for remote postings), how many years of experience you have, and comparison to other employees already in this role.

medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, paid military leave, and additional paid time off; geographic pay ranges; 401k with Company match and incentive bonus potential; sales Incentive compensation for selling roles.

Masters degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Directly related advanced degrees may offset experience requirements.