Senior Automotive Data Analyst

Placements24; Benoni; Hybrid; ZAR 900.000 - 1.300.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Bonuses

Health insurance

Remote work allowance

Learning opportunities

Strategic impact

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Data analysis

Statistical modeling

Machine learning

Experiment design

Communication

Ausbildung

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

Jobbeschreibung

About the Role

Our client is seeking a strategic and analytical Senior Automotive Data Analyst to join their fully remote team. In this crucial role, you will leverage vast amounts of automotive data to derive actionable insights that drive business decisions, product development, and operational improvements. You will work with complex datasets related to vehicle performance, customer behavior, market trends, and manufacturing processes. This is an exciting opportunity for a data expert passionate about the automotive industry to make a significant impact from anywhere, contributing to data-driven strategies that shape the future of mobility and customer experience.

Key Responsibilities

• Collect, clean, and analyze large datasets from various automotive sources, including telematics, sales, and manufacturing.
• Develop and implement data models, algorithms, and dashboards to visualize key performance indicators (KPIs) and trends.
• Translate complex data findings into clear, concise reports and presentations for stakeholders across different departments.
• Identify opportunities for process improvements, cost savings, and revenue growth through data analysis.
• Collaborate with engineering, marketing, and operations teams to understand their data needs and provide analytical support.
• Mentor junior data analysts and contribute to the development of data best practices within the organization.

Requirements

• 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 a significant portion within the automotive industry .
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib), R, SQL, Tableau, or Power BI.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous remote work allowance and flexible working hours.
• Continuous learning opportunities, including access to online courses and industry conferences.
• Chance to influence strategic decisions at a leading company in the automotive data analytics space.