Remote Automotive Data Analyst

Placements24

Willows (CA)

Hybrid

USD 90,000 - 130,000

Full time

48 hours ago
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Benefits offered by this job

Fully remote work
Flexible hours
Health insurance
Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Remote Automotive Data Analyst to extract insights from extensive automotive data, informing product development and operations. This fully remote role offers flexible hours and a chance to influence decisions across the organization.

The ideal candidate will have a quantitative background, strong data analysis skills, and expertise in Python, SQL, Tableau or Power BI, with experience in the automotive domain. Remote work from anywhere is supported.

Qualifications

  • Bachelor's or Master's degree in a quantitative field.
  • Proven experience as a Data Analyst, preferably in automotive.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with Python, R, Tableau or Power BI.
  • Strong statistical modeling and machine learning concepts.
  • Excellent communication and data-driven storytelling.

Responsibilities

  • Collect, clean, and process large automotive datasets.
  • Perform in-depth statistical analysis to identify trends and correlations.
  • Develop dashboards and reports to visualize KPIs and insights.
  • Collaborate with engineering and product teams to define data needs.
  • Use machine learning to build predictive models for maintenance and churn.
  • Communicate findings clearly to technical and non-technical audiences.

Skills

Statistical analysis
Data storytelling
Communication

Education

Bachelor's or Master's in Statistics/Math/CS/Economics

Tools

Python (Pandas, Matplotlib, Seaborn)
R
SQL
Tableau
Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Automotive Data Analyst to join their innovative team. In this fully remote position, you will play a crucial role in extracting insights from vast amounts of automotive data, including vehicle performance metrics, customer behavior, and market trends. Your analysis will directly inform product development, strategic decision-making, and operational improvements across the organization. If you have a strong quantitative background, expertise in data analysis tools, and a keen interest in the automotive sector, this role offers a unique opportunity to contribute from anywhere in South Africa .

Key Responsibilities
  • Collect, clean, and process large datasets related to vehicle performance, usage, and customer interactions.
  • Perform in-depth statistical analysis to identify trends, patterns, and correlations within automotive data.
  • Develop and maintain dashboards and reports to visualize key performance indicators and insights for stakeholders.
  • Collaborate with engineering and product teams to define data requirements and interpret findings.
  • Utilize machine learning techniques to build predictive models for areas such as vehicle maintenance and customer churn.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
Requirements
  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Proven experience as a Data Analyst , preferably within the automotive industry or a related sector.
  • Proficiency in SQL for data extraction and manipulation.
  • Expertise in data analysis and visualization tools such as Python (Pandas, Matplotlib, Seaborn), R, Tableau, or Power BI.
  • Strong understanding of statistical modeling and machine learning concepts.
  • Excellent communication skills and the ability to articulate data-driven recommendations.
Benefits
  • Competitive salary and annual performance-based bonus.
  • Fully remote work environment with flexible hours.
  • Comprehensive private health insurance and wellness support.
  • Professional development opportunities, including training and certifications.
  • A collaborative and intellectually stimulating work environment focused on data innovation.
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