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

Delta Computer Consulting; Los Angeles (CA); On-site; USD 56,481 - 66,124; Full time

Benefits offered by this job

Health Insurance

Vision Insurance

Dental Insurance

Life Insurance

401k

Continuing education

Job summary

A technology consulting company in California seeks a Data Engineer to support field operations with strong analytical and visualization expertise. The successful candidate will work with large-scale databases, build interactive dashboards using Power BI, and develop predictive models to drive business insights. Requires 5–8 years of statistical analytics experience and skills in Power BI, SQL, and Python. This is a full-time, onsite position with competitive pay based on experience.

Qualifications

• 5–8 years of statistical analytics and/or market research experience.
• Strong background in data presentation and process improvement.

Responsibilities

• Build dynamic dashboards using Power BI for operational needs.
• Mine and interpret large-scale data sets.
• Develop custom data models and algorithms.
• Build predictive models to improve customer experience.

Skills

Experience with Power BI

Analytical skills

SQL

Python

Statistical analysis

Data visualization

Tools

Power BI

SAS

Business Objects

Redshift

Job description

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

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

❌ 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

• 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
• 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
• 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