Advanced Data Analyst for Automotive Solutions

1 week ago

Singapore TRUSTY CARS LTD. Full time

TRUSTY CARS LTD. is seeking an experienced Advanced Data Analyst to drive our data-driven initiatives in the automotive sector.

About the Role

This is a challenging opportunity for a skilled data analyst to work closely with cross-functional teams, leveraging advanced analytics to uncover valuable insights and inform strategic decision-making. As an Advanced Data Analyst, you will play a pivotal role in developing and implementing data science solutions that support our business goals.

Main Responsibilities
  • Data Exploration & Analysis
    • Perform exploratory data analysis (EDA) to identify trends, patterns, and insights from structured and unstructured data sources.
    • Clean, preprocess, and transform data to prepare it for modeling and analysis.
    • Collaborate with data engineers and IT teams to ensure data pipelines are robust, scalable, and accurate.
  • Predictive Modeling & Algorithm Development
    • Build, train, and deploy predictive models (e.g., regression, classification, clustering, time series analysis) to solve key business problems.
    • Apply machine learning techniques to develop models for tasks such as customer segmentation, churn prediction, demand forecasting, and recommendation systems.
    • Use tools such as Python, R, SQL, and cloud-based platforms to implement and scale predictive models.
  • Data-Driven Solutions & Decision Support
    • Develop data science-driven solutions and tools that improve business decision-making across functions such as marketing, sales, operations, and finance.
    • Generate actionable insights from data models and communicate results effectively to non-technical stakeholders, translating complex analyses into simple, business-focused recommendations.
    • Use optimization techniques to enhance business processes, improve efficiency, and reduce costs.
  • Performance Monitoring & Model Refinement
    • Continuously monitor the performance of deployed models and refine them as necessary to ensure long-term accuracy and relevance.
    • Implement A/B testing and other experimental methods to validate model outcomes and assess business impact.
    • Collaborate with teams to integrate predictive models into business workflows and decision-making processes.
  • Cross-Functional Collaboration
    • Work closely with business leaders, product managers, marketing teams, and other stakeholders to ensure data science initiatives align with strategic objectives.
    • Partner with data engineering teams to ensure data availability and quality, and to build scalable solutions.
    • Mentor and train team members on data science methodologies and best practices.

Requirements:

  • Advanced degree in Data Science, Statistics, Computer Science, or a related field.
  • Minimum 5 years of experience in data science, with a strong focus on machine learning and predictive modeling.
  • Proficiency in Python, R, or similar programming languages.
  • Expertise in data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical concepts and techniques.
  • Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark).
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical teams.

Preferred Qualifications:

  • Experience in automotive, manufacturing/logistics.
  • Knowledge of specific machine learning techniques (e.g., deep learning, natural language processing).
  • Experience with data governance and compliance frameworks.

Key Skills:

  • Tableau
  • Machine Learning
  • Modeling
  • Big Data
  • Pipelines
  • Natural Language Processing
  • Hadoop
  • Data Engineering
  • SQL
  • Predictive Modeling
  • Python
  • Statistics
  • Data Science
  • Data Analytics
  • Data Visualization

Salary: $120,000 - $180,000 per annum, depending on qualifications and experience.

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