Data Analytics Engineer

delta computer consulting Los Angeles Metropolitan Area
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AI Summary

Support enterprise analytics initiatives focused on customer satisfaction, parts profitability, and vehicle ownership experience. Leverage strong experience in Power BI, SQL, Python, and statistical analytics to translate complex data into actionable business insights. Develop predictive models for marketing optimization, revenue growth, and customer experience.

Key Highlights
Data engineering and analytics modeling
Building Power BI dashboards and big data pipelines
Analyzing large datasets and presenting insights to stakeholders
Key Responsibilities
Data visualization and reporting
Big data and analytics modeling
Data engineering and pipeline development
Business collaboration and stakeholder presentation
Technical Skills Required
Power BI SQL Python AWS Redshift
Benefits & Perks
Health, Vision, Dental, Life Insurance, 401k
Continuing and on-demand education
Pay Range: $41.00 – $48.00 per hour
Nice to Have
Automotive or manufacturing domain exposure
PowerPoint and executive communication skills

Job Description


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



📍 Must be willing to work onsite in Torrance, CA (LA County)

‼️ ONLY W2 – NO CORP to CORP – NO 3rd Parties

Sponsorship is available for this role



Position Summary

We are seeking a Data Engineer / Analytics Engineer to support enterprise analytics initiatives focused on customer satisfaction, parts profitability, and vehicle ownership experience. This role blends data engineering, analytics modeling, and visualization development across large-scale automotive service and parts datasets.


The ideal candidate brings strong experience in Power BI, SQL, Python, data pipelines, and statistical analytics, with the ability to translate complex data into actionable business insights.



Key Responsibilities

Data Visualization & Reporting

  • Build Power BI dashboards supporting field operations and business leadership
  • Translate large datasets into clear business insights and performance metrics


Big Data & Analytics Modeling

  • Analyze large datasets including telematics, warranty, repair orders, parts sales, and service data
  • Develop predictive models to support marketing optimization, revenue growth, and customer experience


Data Engineering & Pipeline Development

  • Build and maintain data pipelines sourcing from AWS Redshift and enterprise systems
  • Support data modeling, transformation, and analytics data preparation


Business Collaboration

  • Support analytics requests across business units
  • Present insights to both technical and non-technical stakeholders


What You’ll Be Working On

  • Automotive service, warranty, and parts analytics
  • Predictive analytics models for customer experience and revenue optimization
  • Enterprise reporting and visualization initiatives
  • Cross-functional analytics initiatives supporting business decision making



Required Skills & Experience

  • 5–8 years experience in statistical analytics, market research, or analytics engineering
  • Experience with analytics tools such as Power BI, SAS, SQL, Python, or Business Objects
  • Experience building and supporting data pipelines
  • Strong experience in data presentation and analytics storytelling
  • Experience working with large-scale datasets
  • Strong communication and stakeholder presentation skills



Desired Skills

  • Automotive or manufacturing domain exposure
  • Strong PowerPoint and executive communication skills
  • Strong problem solving and analytical thinking skills
  • 3+ years of Big 4 consulting experience (preferred)
  • Stable work history within large enterprise organizations

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