Onsite Phoenix Data Analyst — Spark, SQL & BI

your Jared; Phoenix, Northern (AZ, KY); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision plan

Onsite medical clinic

401(k) Savings Plan

Employee Stock Ownership Plan (ESOP)

Tuition Reimbursement Program

Paid holidays, vacation, and sick time

Job summary

U-Haul is seeking a Data Analyst at our Phoenix campus to evaluate and improve our products and services. You will work with Data Scientists, Engineers and Business Experts to bring big data analytics and rigor to the team, shaping insights that drive decisions.

Responsibilities include building Spark SQL pipelines, crafting interactive dashboards, collaborating with leaders to define metrics, and developing models for inference and prediction.

Qualifications

• Master’s degree 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; exposure to common statistical and ML techniques.

Responsibilities

• Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs.
• Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders.
• Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights.
• Designing and implementing data science models (classification, regression, unsupervised learning, recommendation systems, etc.).
• Communicating complex technical concepts to stakeholders with confidence and integrity.

Skills

SQL

Python

Power BI

Databricks

Statistics

Communication

Education

Master's degree in related field

Tools

Spark SQL

Job description

U-Haul is seeking a Data Analyst at our Phoenix campus to evaluate and improve our products and services. You will work with Data Scientists, Engineers and Business Experts to bring big data analytics and rigor to the team, shaping insights that drive decisions.

Responsibilities include building Spark SQL pipelines, crafting interactive dashboards, collaborating with leaders to define metrics, and developing models for inference and prediction.