Automotive Data Analyst

Placements24; Randburg; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Healthcare benefits

Job summary

Placements24 is seeking an Automotive Data Analyst in Randburg, Gauteng. The role focuses on collecting, cleaning, analyzing, and interpreting complex automotive datasets to drive business decisions and product development.

You will collaborate with engineering, product, and marketing teams to define data requirements and analytical strategies. You will build statistical models, implement ML algorithms, and translate findings into actionable recommendations.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (Data Science, Statistics, CS, Mathematics).
• 3+ years as a Data Analyst, preferably in automotive or tech sector.
• Proficiency in SQL, Python, R for data manipulation and analysis.

Responsibilities

• Collect, clean, and preprocess large automotive datasets from diverse sources.
• Perform EDA to identify patterns and anomalies.
• Develop statistical models and ML algorithms to extract insights.
• Create data visualizations and dashboards for stakeholders.

Skills

SQL

Python

R

Tableau

Power BI

ML concepts

Data cleaning

Education

BSc or MSc in Data Science/Statistics/CS/Math

Tools

AWS

Azure

Job description

About the Role

Our client, a leading automotive technology firm based in Randburg, Gauteng , is seeking a skilled Automotive Data Analyst . This role is integral to leveraging the vast amounts of data generated within the automotive sector, from vehicle performance metrics to customer behavior insights and market trends. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions and product development. If you have a strong analytical mind, proficiency in data manipulation tools, and a passion for the automotive industry, this is an excellent opportunity to contribute to innovation in Randburg . Join a forward-thinking company dedicated to shaping the future of mobility.

Key Responsibilities

• Collect, clean, and preprocess large and complex automotive datasets from various sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Develop and implement statistical models and machine learning algorithms to extract meaningful insights.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Translate complex data findings into clear, concise, and actionable business recommendations.
• Collaborate with engineering, product, and marketing teams to define data requirements and analytical strategies.
• Monitor key performance indicators (KPIs) and provide regular reports on automotive trends and insights.
• Ensure data accuracy, integrity, and security throughout the analysis process.
• Stay up-to-date with the latest data analysis tools, techniques, and best practices.
• Contribute to the development of data-driven strategies for product enhancement and market positioning.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the automotive industry or a related technology sector.
• Proficiency in data manipulation and analysis using tools such as SQL, Python (Pandas, NumPy), or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of statistical methods, machine learning concepts, and predictive modeling.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical findings to both technical and non-technical audiences.
• Experience working with large datasets and cloud platforms (e.g., AWS, Azure) is a plus.
• Familiarity with automotive data sources (e.g., telematics, diagnostics, manufacturing data) is advantageous.
• Located in or able to work effectively within the Randburg, Gauteng region, with hybrid flexibility.

Benefits

• Competitive salary package based on skills and experience.
• Opportunity to work with cutting-edge automotive data and technology.
• Hybrid work model offering flexibility and work-life balance.
• Access to professional development and training in data science and analytics.
• Comprehensive health and retirement benefits.
• Be part of a dynamic and innovative team in Randburg.