Remote Automotive Data Analyst - Insights & Dashboards

Placements24; Richards Bay; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Competitive salary

Fully remote

Advanced analytics tools

Professional development

Collaborative remote culture

Job summary

Placements24 seeks a meticulous Remote Automotive Data Analyst to extract, clean, and analyze large automotive datasets. You will build dashboards with Tableau/Power BI and translate complex findings into actionable insights for multiple teams.

The ideal candidate has strong SQL skills, experience with BI tools, and proficiency in Python or R to support data-driven product development and improved customer experiences.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Proven experience as a Data Analyst, preferably in automotive industry.
• Strong proficiency in SQL for data extraction and manipulation.
• Expertise in data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in statistical analysis and programming languages like Python or R.

Responsibilities

• Collect, clean, and process large volumes of automotive data from various sources.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using BI tools to visualize key metrics.
• Communicate findings and recommendations clearly to stakeholders.
• Collaborate with engineering and product teams to define data requirements.

Skills

SQL

Python/R

Tableau/Power BI

Statistics/Analytics

Communication

Education

Bachelor's degree in Statistics/Math/CS/Economics

Tools

Tableau

Power BI

Job description

Placements24 seeks a meticulous Remote Automotive Data Analyst to extract, clean, and analyze large automotive datasets. You will build dashboards with Tableau/Power BI and translate complex findings into actionable insights for multiple teams.

The ideal candidate has strong SQL skills, experience with BI tools, and proficiency in Python or R to support data-driven product development and improved customer experiences.