Automotive Data Analyst - Performance Metrics

Placements24; Mossel Bay; Hybrid; ZAR 420,000 - 600,000; Full time

Benefits offered by this job

Hybrid work arrangement

Career development opportunities

Advanced data training

Job summary

Placements24 is seeking an Automotive Data Analyst to join their Mossel Bay team. You will collect and clean large automotive datasets, perform in-depth analyses, and create dashboards to support decisions across sales, marketing, after-sales, and product development.

Ideal candidates have a quantitative background, 3+ years of data analysis experience in automotive contexts, and strong SQL/Python/R skills with Tableau or Power BI. Hybrid work in Mossel Bay is offered.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in a data analyst role, preferably within the automotive industry or a related sector.
• Proficiency in data manipulation and analysis using SQL, Python (Pandas, NumPy), or R.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex data and communicate insights effectively to both technical and non-technical audiences.

Responsibilities

• Collect, process, and manage large volumes of automotive data from various sources (sales, service, telematics, market research).
• Perform in-depth data analysis to identify key trends, patterns, and correlations related to vehicle performance, customer behavior, and market dynamics.
• Develop and maintain dashboards and reports using data visualization tools (Tableau, Power BI) to track KPIs.
• Translate complex data findings into clear, concise, and actionable insights for business stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Design and implement A/B testing strategies to evaluate marketing campaigns, product features, or service offerings.
• Develop predictive models to forecast sales, customer retention, and market trends.
• Ensure data accuracy, integrity, and adherence to data governance policies.
• Stay current with industry best practices in data analysis and automotive market trends.
• Present findings and recommendations to management and other stakeholders in a compelling manner.

Skills

SQL

Python (Pandas/NumPy)

R

Data visualization

Critical thinking

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Tools

Tableau

Power BI

Excel

Job description

About the Role

Our client is seeking a talented and analytical Automotive Data Analyst to join their expanding operations in Mossel Bay, Western Cape . This role is integral to driving data-informed decision-making across various departments, including sales, marketing, after-sales service, and product development. The ideal candidate will possess strong quantitative skills, proficiency in data analysis tools, and a passion for the automotive industry. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to identify trends, generate insights, and create actionable reports that optimize business performance. This is an exciting opportunity to work with diverse automotive data and contribute directly to the strategic direction of the company in the beautiful coastal town of Mossel Bay .

Key Responsibilities

• Collect, process, and manage large volumes of automotive data from various sources (e.g., sales, service, telematics, market research).
• Perform in-depth data analysis to identify key trends, patterns, and correlations related to vehicle performance, customer behavior, and market dynamics.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to track key performance indicators (KPIs).
• Translate complex data findings into clear, concise, and actionable insights for business stakeholders.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Design and implement A/B testing strategies to evaluate the effectiveness of marketing campaigns, product features, or service offerings.
• Develop predictive models to forecast sales, customer retention, and market trends.
• Ensure data accuracy, integrity, and adherence to data governance policies.
• Stay current with industry best practices in data analysis and automotive market trends.
• Present findings and recommendations to management and other stakeholders in a compelling manner.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in a data analyst role, preferably within the automotive industry or a related sector.
• Proficiency in data manipulation and analysis using SQL, Python (Pandas, NumPy), or R.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex data and communicate insights effectively to both technical and non-technical audiences.
• Familiarity with statistical modeling and machine learning concepts is a plus.
• Knowledge of automotive market data, consumer behavior, and industry trends.
• Strong attention to detail and commitment to data accuracy.
• Ability to work independently and collaboratively in a hybrid work environment.

Benefits

• Our client offers a competitive salary and benefits package, including comprehensive medical aid and a pension fund.
• Enjoy a hybrid work arrangement, offering flexibility between working from home and collaborating in our Mossel Bay, Western Cape office.
• Opportunities for professional growth and development, including advanced training in data science and analytics tools, are available.
• Be part of a forward-thinking team leveraging data to shape the future of the automotive sector.
• Join a company that values innovation and provides a supportive work environment in a beautiful coastal location.