Fedex Work From Home Manager, Data Science & Analytics

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  • Post last modified:July 25, 2023

In this article, we will discuss FedEx Work From Home Manager, Data Science & Analytics. Are you passionate about data and problem-solving? Do you succeed in conditions that challenge you to make informed decisions and drive business strategy?

If so, FedEx Dataworks is looking for you! FedEx seeks an individual to lead our Data Science and Analytics team, which plays a crucial role in shaping every aspect of our business, from product development and engineering to marketing, sales, and partnerships.

Fedex Work From Home

Qualification for Fedex Work From Home

If you are interested in applying for this remote work-from-home job, you must possess the qualifications specified below.

EducationBachelor’s Degree in business, finance, statistics, engineering, or related quantitative discipline.
Experience5+ years in quantitative and descriptive analytics.
Leadership Skills3+ years leading teams and coaching analysts.
Technical SkillsHands-on experience with tools like Amplitude, Mixpanel, Heap, and BI tools (Looker/PowerBI).
Analytical AbilitiesStrong critical thinking skills, data-driven insights, and defining digital product KPIs.
CommunicationExcellent communication and presentation skills for engaging with stakeholders.
Technical KnowledgeFamiliarity with cloud-based analytics, DSML platforms, data pipelines, and data cleanliness.
Additional SkillsFluency in a data-first approach to build credibility and influence with cross-functional leadership and stakeholders.


To align analytics with overall business goals, work closely with stakeholders, and focus on high-impact projects. Participate in strategic discussions and drive improvements in data quality. Communicate results clearly. Perform hands-on data analysis and gain a strong understanding of core datasets. Oversee analytics infrastructure and establish analytic capabilities and standards.

Job details

FedEx Dataworks is currently offering a job opportunity in the Information Technology sector. The job requisition number for this position is RC634700. It is a full-time position with a regular worker sub-type, which means consistent employment.

The company allows remote work for this role, providing flexibility in location. The job is open to applicants in the United States. If you are interested in this position, you can apply through the appropriate channels provided by FedEx Dataworks.

CompanyFedEx Dataworks
CategoryInformation Technology
Job RequisitionRC634700
Employment TypeFull Time
Worker Sub-TypeRegular
LocationsUnited States

How to Apply

To apply for the Data Science and Analytics Manager position at fedex, follow these steps:

  1. Click on the application link provided: Data Science and Analytics Manager – Application Link
  2. The link will take you to the job posting on the FedEx careers website. Read through the job description and requirements carefully to ensure it aligns with your qualifications and interests.
  3. Prepare your application materials. You will need to upload your current resume in either Microsoft Word or PDF format. Make sure your resume highlights your relevant experience, skills, and achievements in data science, analytics, team leadership, and any other relevant areas.
  4. Complete the job screening questionnaire. The questionnaire may ask you specific questions related to the job requirements or your previous experience. Answer these questions thoughtfully and accurately.
  5. Double-check all the information you provided in your application to ensure it is correct and complete.
  6. Submit your application before the specified deadline (July 27, 2023).
  7. After submitting your application, you may receive a confirmation email acknowledging your submission.
  8. If your application is shortlisted, you may be contacted for further interviews or assessments.
  9. Be patient and proactive. If you don’t hear back immediately, it’s okay to follow up with the company to inquire about the status of your application
Apply LinkClick Here

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