Remote Automotive Data Analyst

Placements24; Newlands; Remote; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible remote work arrangements

Professional development budget

Performance bonuses

Health, dental, and vision insurance

Job summary

Placements24 is seeking a Remote Automotive Data Analyst to extract, analyze, and interpret large datasets to drive strategic business decisions, improve product development, and optimize customer experiences from home.

You will collaborate with product, engineering, and marketing to uncover insights, build models, and present findings clearly to stakeholders. A quantitative degree and strong SQL/Python/R skills are essential.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst with a focus on data manipulation and statistical analysis.
• Proficiency in SQL, Python, or R for data analysis and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Understanding of the automotive industry and its data landscape is an advantage.
• Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences.

Responsibilities

• Collect, clean, and process large datasets from various automotive sources.
• Develop and implement analytical models to identify trends and correlations.
• Create data visualizations, reports, and dashboards for stakeholders.
• Provide data-driven recommendations to optimize vehicle performance and user experience.
• Collaborate with engineers to define data collection methods and ensure data integrity.
• Stay updated on the latest data analysis tools and automotive trends.

Skills

Data analysis

Statistical analysis

Data manipulation

Data visualization

Communication

Education

Bachelor's or Master's degree in Data Science or related quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is looking for a sharp and analytical Remote Automotive Data Analyst to join their forward-thinking team. You will be instrumental in extracting, analyzing, and interpreting vast amounts of automotive data to drive strategic business decisions, improve product development, and optimize customer experiences. Working remotely, you will collaborate with cross-functional teams, including product, engineering, and marketing, to uncover insights and present findings in a clear, actionable format. This role offers a unique opportunity to shape the future of automotive technology and strategy from the comfort of your home.

Key Responsibilities

• Collect, clean, and process large datasets from various automotive sources, including vehicle telemetry, sales figures, and customer feedback.
• Develop and implement analytical models to identify trends, patterns, and correlations within the data.
• Create compelling data visualizations, reports, and dashboards to communicate findings to stakeholders.
• Provide data-driven recommendations to optimize vehicle performance, enhance user experience, and inform business strategy.
• Collaborate with engineers to define data collection methods and ensure data integrity.
• Stay abreast of the latest data analysis tools and automotive industry trends.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, with a strong focus on data manipulation and statistical analysis.
• Proficiency in SQL, Python, or R for data analysis and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Understanding of the automotive industry and its data landscape is a significant advantage.
• Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work arrangements and work-life balance.
• Generous professional development budget for courses and conferences.
• Opportunity to make a significant impact on automotive innovation .