Remote Automotive Data Analyst

Placements24; Benoni; Hybrid; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Fully remote with flexible hours

Health, dental, and vision insurance

Professional development opportunities

Data-driven decision-making culture

Job summary

Placements24 seeks a Remote Automotive Data Analyst to extract insights from vehicle performance, driver behavior, and market data. You will build dashboards and models guiding product development and operational strategy, leveraging SQL, Python or R, and data visualization tools to communicate findings to stakeholders from a fully remote location.

The role emphasizes strong analytics, statistical modeling, and the ability to translate complex data into actionable business recommendations in a

Qualifications

• Bachelor's or master's degree in a quantitative field such as Statistics, Data Science, CS or Economics.
• Proven experience as a Data Analyst with strong quantitative analysis and modeling skills.
• Proficiency with SQL for data extraction and manipulation and experience with Tableau/Power BI or similar.
• Experience using Python or R for data analysis and visualization.

Responsibilities

• Collect, clean, and process large automotive datasets from telemetry and customer feedback.
• Perform in-depth data analysis to identify patterns, trends, and anomalies in vehicle performance and market dynamics.
• Develop and maintain dashboards and reports to communicate findings to stakeholders.
• Collaborate with engineering, product, and marketing to translate insights into actions.
• Design and run A/B tests and experiments to evaluate features or strategies.
• Ensure data integrity and accuracy throughout analysis.

Skills

Quantitative analysis

Statistical modeling

Data visualization

Education

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

Tools

SQL

Tableau

Power BI

Python

R

Job description

About the Role

Our client is at the forefront of automotive innovation and is looking for a skilled Remote Automotive Data Analyst to join their dynamic, fully remote team. You will be instrumental in extracting valuable insights from vast datasets related to vehicle performance, driver behavior, and market trends. Your analysis will directly inform product development, operational strategies, and business decisions. This role requires a strong analytical mind, excellent data visualization skills, and a passion for uncovering trends within the automotive sector, all performed from a remote location .

Key Responsibilities

• Collect, clean, and process large, complex datasets from various automotive sources, including vehicle telemetry and customer feedback.
• Perform in-depth data analysis to identify patterns, trends, and anomalies related to vehicle performance, usage, and market dynamics.
• Develop and maintain dashboards and reports using data visualization tools to communicate key findings to stakeholders.
• Collaborate with engineering, product management, and marketing teams to translate data insights into actionable strategies.
• Design and implement A/B tests and other experiments to evaluate new features or strategies.
• Ensure data integrity and accuracy throughout the analysis process.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Analyst , with a strong focus on quantitative analysis and statistical modeling.
• Proficiency in SQL for data extraction and manipulation, and experience with data visualization tools like Tableau, Power BI, or similar.
• Experience with programming languages such as Python or R for data analysis.
• Strong understanding of statistical concepts and machine learning techniques.
• Excellent communication skills and the ability to present complex data insights clearly to both technical and non-technical audiences.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Fully remote work arrangement with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Professional development opportunities, including access to training and conferences.
• A collaborative and innovative work culture focused on data-driven decision-making in the automotive space.