Senior Automotive Data Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Flexible remote work

Paid time off

Job summary

Placements24 seeks a Senior Automotive Data Analyst to work remotely on automotive datasets, delivering actionable insights and strategic recommendations. You will analyze vehicle performance, customer behavior, and market trends to inform product development and customer experience improvements.

Ideal candidates have 5+ years in automotive data analysis, strong SQL, Python or R skills, and proficiency in Tableau/Power BI.

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, or Economics.
• 5+ years as a Data Analyst in the automotive domain.
• Proficiency in SQL and programming languages like Python or R.
• Experience with data visualization tools (Tableau, Power BI) and statistical software.
• Strong understanding of statistics and machine learning techniques.
• Excellent analytical, problem-solving and communication skills for remote collaboration.

Responsibilities

• Collect, clean, and process large automotive datasets.
• Perform statistical modeling, predictive analysis, and data mining.
• Develop and maintain dashboards and reports for KPIs and insights.
• Identify trends and anomalies and provide actionable recommendations.
• Collaborate with engineering, marketing and product teams to define data requirements.
• Stay current with data analysis tools, techniques, and automotive trends.

Skills

Analytical thinking

Problem solving

Communication

Remote collaboration

Education

Bachelor's or Master's in Data Science/Statistics/CS/Economics

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and results-oriented Senior Automotive Data Analyst to join their fully remote team. In this role, you will dive deep into vast datasets related to vehicle performance, customer behavior, market trends, and operational efficiency to extract actionable insights. You will play a crucial role in informing strategic decisions, optimizing product development, and enhancing customer experiences. This position offers a unique opportunity for a data professional passionate about the automotive industry to work independently, collaborate virtually with stakeholders, and make a significant impact from anywhere.

Key Responsibilities

• Collect, clean, and process large and complex datasets from various automotive sources.
• Perform in-depth data analysis, including statistical modeling, predictive analysis, and data mining.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and insights for stakeholders.
• Identify trends, patterns, and anomalies in automotive data to provide actionable recommendations.
• Collaborate with engineering, marketing, and product teams to define data requirements and analysis strategies.
• Stay current with data analysis tools, techniques, and emerging trends in the automotive sector.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience as a Data Analyst , with a strong focus on the automotive industry .
• Proficiency in data querying languages (e.g., SQL) and programming languages like Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software.
• Strong understanding of statistical concepts and machine learning techniques.
• Excellent analytical, problem-solving, and communication skills, essential for remote collaboration.

Benefits

• Highly competitive annual salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work arrangement fostering work-life balance.
• Generous paid time off and company holidays.
• Professional development opportunities and access to training resources.
• Opportunity to work with cutting-edge data analytics tools and technologies.