Remote Automotive Data Analyst

Placements24; Soweto; Hybrid; ZAR 420,000 - 780,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Health benefits

Retirement plan

Professional development

Job summary

Placements24 is seeking a detail-oriented Remote Automotive Data Analyst to join its data science team. You will collect, clean, and analyze automotive data, build dashboards, and collaborate across departments to inform product development and customer strategies.

The role emphasizes strong SQL, Python, and visualization skills, with remote work flexibility and opportunities for professional growth in a fast-evolving automotive data environment.

Qualifications

• Bachelor's or Master's in Data Science, Statistics, CS or a related quantitative field.
• Proven experience as a Data Analyst focusing on automotive data is a plus.
• Strong SQL, Python (Pandas/NumPy), and data manipulation skills.
• Experience with data visualization tools (Tableau/Power BI).
• Excellent communication in a remote work environment.

Responsibilities

• Collect, clean, and preprocess large datasets from automotive sources (telematics, feedback, sales).
• Perform in-depth data analysis to identify trends in vehicle performance and market dynamics.
• Develop and maintain dashboards and reports for stakeholders.
• Collaborate with engineering and product teams to define data requirements.
• Utilize statistical methods and ML techniques to build predictive models.
• Communicate findings clearly to technical and non-technical audiences in a remote environment.

Skills

SQL

Python

Pandas

NumPy

R

Tableau

Power BI

Matplotlib

Statistics

ML basics

Remote communication

Education

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

Tools

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is seeking a detail-oriented and analytical Remote Automotive Data Analyst to join their expanding data science team. This role is critical for extracting actionable insights from vast datasets related to vehicle performance, customer behavior, and market trends. You will work remotely, collaborating with various departments to drive data-informed decision-making and enhance product development and customer engagement strategies. This position offers a unique opportunity to work on challenging automotive data problems from anywhere, contributing to strategic business initiatives.

Key Responsibilities

• Collect, clean, and preprocess large datasets from various automotive sources, including vehicle telematics, customer feedback, and sales data.
• Perform in-depth data analysis to identify trends, patterns, and insights related to vehicle performance, user experience, and market dynamics.
• Develop and maintain dashboards and reports to visualize key metrics and findings for stakeholders.
• Collaborate with engineering and product teams to define data requirements and support the implementation of data-driven features.
• Utilize statistical methods and machine learning techniques to build predictive models.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences in a remote environment.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst or similar role, with a focus on automotive data being a plus.
• Proficiency in data manipulation and analysis using tools such as SQL, Python (Pandas, NumPy), or R.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical concepts and machine learning algorithms.
• Excellent communication skills and the ability to thrive in a remote work setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and retirement benefits.
• Flexible working hours and the ability to work from home permanently.
• Access to advanced data analytics tools and platforms.
• Opportunities for professional development and skill enhancement in a rapidly evolving field.