Data Science Advisor - Mobile Analytics

fulltime
Expired

Employment Information

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Provide expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Leads staff in advanced in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to managements, via understanding of the business model and the information available for analysis. Expert use of all data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making. Mentors fewer senior staff. Leads cross functional projects and programs. Routinely works on multiple highly complex assignments concurrently.

  • Provide expert leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.
  • Leads staff in advanced in descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
  • Expert use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to managements, via understanding of the business model and the information available for analysis.
  • Expert use of all data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making.
  • Mentors fewer senior staff.
  • Leads cross functional projects and programs.
  • Routinely works on multiple highly complex assignments concurrently.

Job Specific Information:

You will oversee a team of analytics engineers and data analysts whose primary responsibility will be to develop data products and strategic insights for the Mobile App, Homepage Control Center and Sustainability Portal. There is a lot of visibility around the work on these products; Fedex relies on these to be our ‘Digital Differentiators’. These products are moving at lightning speed with new capabilities being added constantly. Your contribution in this role will be instrumental in advancing our analytics capabilities and driving impactful, data-driven innovation within our organization.

Analytics Framework Development:

  • Develop analytics frameworks that set our digital applications up for success
  • Be diligent in framing solutions that solve the root of the question we’re trying to answer; look beyond the metrics and make sure we’re getting to the heart of what matters
  • Understand where our data has limitations; identify opportunities to leverage experimentation and partner with Research to fill gaps in storytelling
  • Match a business need with a proper analytics solution; e.g. identify when it’s necessary to build a dashboard or if a one-time analysis will suffice
  • Take action in developing relationships with external teams to understand our data. Identify gaps in our storytelling and work with data engineering to procure new data sources.

Skills/Knowledge/Experience Considered a Plus:

  • Functional knowledge of the larger Product/Marketing/Analytics ecosystem – Research, Experimentation, Product Development, Customer Lifecycle, Segmentation, Audience Management, and more.
  • Experience with experimentation readouts and A/B testing
  • Experience in product analytics specific to mobile applications

Work Location:

Desired location for this position would be Collierville, TN however, this position may be located anywhere within the United States.

Relocation:

Relocation assistance available based upon business needs.

Minimum Qualifications:

  • Master's degree or equivalent in a quantitative discipline required.
  • Seven (7) Year work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics.
  • Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications.
  • Outstanding interpersonal skills, written, and oral communication skill.
  • Proven leadership skills.

Additional Information

Salary Range Estimate: Monthly Salary: $9,475.00 - $12,147.00. This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below. If the date below is blank, there is no specified closing date for this requisition.

Job Posting End Date: 03-27-2024

We recognize that our people do their best work when they have an outstanding benefits package to help. In addition to a competitive salary and annual bonus opportunity, we offer comprehensive medical, vision, and dental coverage at limited employee cost, a generous 401K match, tuition reimbursement for what comes next professionally, and a flexible work environment that helps you balance it all.It's also important to us that our people have time to relax and recharge. That means multiple weeks of paid vacation available day one, paid parental leave (including for adoptive parents), paid sick leave, and additional time off.

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