Analytics Administrator

Now Hiring:
Data Analyst

Location: Irvine, CA
Pay Rate: $35.00–$40.00/hour
Schedule: Full-time, Monday–Friday, regular business hours
Position Type: Approximately 6-month contract

Seeking a highly technical Data Analyst / Data & Analytics Administrator to support data analysis, reporting, predictive analytics, and an upcoming used-vehicle pricing initiative
. The ideal candidate has strong SQL and Python skills and experience working with large datasets, statistics, and business intelligence.

• Query, analyze, organize, and validate large datasets using SQL and Python
  .
• Support Power BI dashboards, recurring reporting, and ad hoc analytics
  .
• Perform data cleansing, transformation, and validation.
• Support forecasting, predictive analytics, financial modeling, and what-if analysis
  .
• Assist with development of a used-vehicle pricing model and analysis of multiple data inputs.
• Analyze KPIs and provide insights to senior management.
• Collaborate with Finance, Product Planning, Big Data, AI/ML, and data engineering teams.
• Translate business and reporting requirements into data requirements and models.
• Maintain dashboards, data feeds, reporting, and data integrations.
• Document analytical processes and results.

• 3+ year of experience in data analytics, business intelligence, data science, or a related field;
• Strong hands-on SQL skills; SQL assessment required.
• Strong Python skills;
  Pandas/Num Py experience preferred.
• Knowledge of statistics, data structures, and relational databases
  .
• Experience working with large datasets and data cleansing/validation.
• Experience with Power BI or similar reporting tools.
• Advanced Excel skills, including Pivot Tables and VLOOKUP/XLOOKUP
  .
• Strong analytical, communication, and problem-solving skills.
• Ability to work with both technical and non-technical stakeholders.

• Automotive,
  remarketing, CPO, fleet, auction, or used-vehicle pricing experience.
• AI/ML, Big Data, predictive analytics, or vehicle valuation experience.
• Oracle or similar relational database experience.
• Financial modeling, forecasting, pricing, incentives, or residual analytics experience.

Automotive experience can be taught—the priority is a strong technical and analytical foundation.

• Medical, Dental, Vision & Pet Insurance
• 401(k)
• HSA
• EAP
• Commuter/Parking Accounts
• People Perks Program
• AD&D Insurance

Great opportunity to work on high-visibility analytics projects involving Big Data, predictive analytics, business intelligence, and used-vehicle pricing.