Contact Center Data Analyst
U-Haul · Phoenix, AZ · 3 wk ago
Information TechnologyFull-time
Responsibilities
- Evaluate and improve U-Haul’s products and services through big data analytics and scientific rigor.
- Create mathematical or simulation models of problems, relate constants and variables, and apply judgment and statistical tests.
- Collaborate with senior managers and decision makers to identify and solve problems and clarify management objectives.
- Present results of mathematical modeling and data analysis to management or other end users.
- Develop and apply time and cost networks to plan, control, and review large projects.
- Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
- Communicate complex technical concepts to stakeholders with confidence and integrity.
- Work with business stakeholders to determine metrics for evaluating the models.
- Build data visualizations, reports, and presentations.
- Rapidly learn and implement new technologies and tools.
- Lead data initiatives across U-Haul.
Qualifications
- Master’s degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience.
- Proven experience in SQL and Python.
- Proven experience in Power BI and Databricks.
- Proven experience processing and analyzing structured and unstructured data.
- Substantial depth in one or more of the following techniques with past industry projects and/or academic research: statistical and machine learning techniques.
- The ability to communicate and present both orally and in writing, and comfortability with ambiguity and change.
- A high degree of drive, energy, self-confidence, commitment, and flexibility.
Pay
U-Haul offers a comprehensive benefits package including medical insurance, prescription drug plans, dental & vision plans, and more.
Schedule
The position is local to the corporate campus in Phoenix, AZ and is not eligible for fully remote work.