Remote Senior Automotive Data Analyst

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Health insurance

Remote work allowance

Learning opportunities

Strategic impact

Job summary

Placements24 is seeking a Senior Automotive Data Analyst to join a fully remote team. You will analyze vast automotive data to drive business decisions, product development, and operational improvements across vehicle performance, customer behavior, and market trends.

The role involves developing models, dashboards, and reports, mentoring junior analysts, and collaborating with engineering, marketing, and operations to meet data needs. A strong background in statistics and ML is required.

Qualifications

• Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience in data analysis, with significant automotive industry exposure.
• Proficiency in Python, R, SQL, Tableau or Power BI; experience with big data tech is a plus.

Responsibilities

• Collect, clean, and analyze large datasets from automotive sources (telematics, sales, manufacturing).
• Develop data models, algorithms, and dashboards to visualize KPIs and trends.
• Translate findings into clear reports for stakeholders across departments.

Skills

Data analysis

Statistical modeling

Machine learning

Experiment design

Communication

Education

Master's degree or Ph.D. in Statistics, Data Science, Mathematics, Economics, or related quantitative field

Tools

Python

R

SQL

Tableau

Power BI

Spark

Hadoop

Job description

Placements24 is seeking a Senior Automotive Data Analyst to join a fully remote team. You will analyze vast automotive data to drive business decisions, product development, and operational improvements across vehicle performance, customer behavior, and market trends.

The role involves developing models, dashboards, and reports, mentoring junior analysts, and collaborating with engineering, marketing, and operations to meet data needs. A strong background in statistics and ML is required.