Data Analyst Advisor

Overview

On Site
Full Time

Skills

Text Mining
Technical Analysis
Unstructured Data
Emerging Technologies
Business Model
Quantitative Analysis
Modeling
Strategic Analysis
Management
Delegation
Collaboration
Partnership
Dashboard
Decision-making
Effective Communication
KPI
Data Management
Creative Problem Solving
Business-to-business
Retail
Forecasting
Marketing
Market Research
Strategy Development
Business Acumen
Information Systems
Computer Science
Mathematics
Economics
Finance
Conflict Resolution
Problem Solving
Operations Research
Marketing Research
Predictive Analytics
Analytical Skill
Analytics
Communication
Leadership
Recruiting
FMLA
Immigration
Bilingual
English
Spanish
Law

Job Details

Designs and implements advanced processes and analytics associated with a wide variety of data sets used for data/text mining, analysis, and prediction to enable informed business decisions.

Essential Responsibilities
  • Gains insight into key business problems and deliverables by applying highly technical analysis techniques analysis techniques to examine structured and unstructured data from multiple disparate Sources.
  • Provides insight from initial concept to fully tested production and communicates results to a broad range of audiences.
  • Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
  • Typically uses data, statistical and quantitative analysis, basic modeling, and fact-based management to drive decision making.
  • Mentors less senior staff.
  • Works in cross functional projects and programs.
  • Routinely presents to management.
  • Performs other duties as assigned.

Additional Details:
  • Manage data and analytics demand across all segments of organization which includes strategic analysis, dashboards, key metrics / KPIs, and adhoc requests from leadership
  • Foster relationship with COE (Center of Excellence) by managing key projects for Global EC organization through delegating analysis and data requests - while continuing to enhance analytics capabilities through this partnership
  • Define and align business segment definitions, develop a robust methodology, and create dashboard visualizations to accurately measure segment performance, driving data-informed decision-making and effective communication with leadership
  • Partner with initiative owners to establish measurable OKRs and KPIs, ensuring clear success metrics are in place. Foster a QDM (Quality Data Management) mindset, leveraging creative problem-solving to approach challenges and drive innovative solutions
  • Lead revenue planning efforts for business segments (B2B/B2C) and global products, working with global and regional forecasting teams, cross-functional stakeholders and communicating and influencing global and regional marketing and product team to drive realistic revenue planning
  • Conduct strategic assessments and market research to support global product initiatives, enabling data-driven decisions and strategy development
  • Apply business acumen to evaluate financial data, including margin, revenue, and other key financial metrics laddering up to corporate goal to inform business strategies

Minimum Education

Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance.

Minimum Experience

Seven (7) years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics.

Knowledge, Skills and Abilities

Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal, written, and oral communication skills. Proven leadership skills.

Preferred Qualifications:

Pay Transparency: The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

Pay: U.S. Pay Range $7,0924.23-$15,607.31

Additional Details: This position may be located anywhere within the United States excluding Alaska, Hawaii and US territories. Depending on your location, you may be required to work at a FedEx Campus location several times per week.

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact

Applicants have rights under Federal Employment Laws:
  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)

Pay Transparency:

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job-related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.