Data Analytics Engineer & Predictive Analytics – Tableau, Power BI, Python, SAS, SQL

• *Compensation & Location
• *Location:

Onsite in Torrance, CA

• *Pay Range:**

$41.00 – $48.00 per hour (based on experience and internal equity)

• *Schedule:**

Full-time, contract; long-term opportunity

• *Work Type:**

100% Onsite

• *Benefits:**

Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

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• *You must be willing to work onsite in Torrance, CA (LA COUNTY)**

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• *ONLY W2 – NO CORP to CORP – NO 3rd Parties**

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• *Sponsorship is NOT AVAILABLE for this role (GREEN CARD OR US CITIZEN ONLY)
• *Position Summary

We are seeking a

• *Data Engineer**

with strong analytical and visualization expertise to support field operations and drive business insights across parts sales, service operations, customer satisfaction, and vehicle quality. This role focuses on

• *advanced analytics, predictive modeling, data mining, and Power BI visualizations**

to help identify opportunities for improved profitability and customer experience.

You will work directly with large-scale databases (Redshift, telematics, warranty, parts, service retention, etc.) and build pipelines, models, and dashboards that influence enterprise-level decision making. The ideal candidate is highly analytical, detail-oriented, and skilled at translating complex data into actionable insights.

• *Key Responsibilities
• *Data Visualization
• Build dynamic, interactive dashboards using
• *Power BI**

for PST Field Operations

• Extract, transform, and analyze datasets from
• *Redshift**

and related systems

• Visualize key metrics across repair orders, service retention/effectiveness, parts sales, accessory sales, warranty claims, technical training, satisfaction surveys, and more
• *Big Data Analytics
• Mine and interpret large-scale datasets (telematics, warranty, repair orders, parts, collision, accessories, marketing performance, etc.)
• Develop custom data models and algorithms to optimize parts profitability, marketing strategies, and business decisions
• *Predictive Analytics
• Build predictive models to improve customer experience, target marketing campaigns, and revenue generation
• Apply statistical methods and machine learning approaches to large datasets
• *Special Projects
• Support PST business unit requests regarding analytics needs and insights
• Provide data-driven guidance for operational and strategic initiatives
• *Required Skills & Experience
• Experience with analytics tools such as
• *Power BI, SAS, SQL, Python, Business Objects**

, or similar

• Experience building
• *data pipelines
• 5–8 years**

of statistical analytics and/or market research experience

• Strong background in
• *data presentation, data management, and process improvement
• *Desired Skills
• Strong analytics and complex problem-solving skills
• Proficiency with PC-supported tools (Word, PowerPoint, Excel, Business Objects)
• Strong
• *PowerPoint**

and communication skills

• Stable work history supporting enterprise-scale organizations