As the Data Analyst at ComfortDelGro's Private Mobility Group, you will be responsible for driving BI & analytics capabilities across multiple Business Units. You will collaborate with various stakeholders to understand business requirements and ensure data analytics solutions align with organizational goals.
Job Responsibilities:
- Design, develop and maintain data marts as per BU requirements
- Ensure data quality and integrity by implementing appropriate data governance and data management practices.
- Collaborate with IT teams & Data Engineers to optimize BI infrastructure, ensuring scalability and performance.
- Conduct in-depth data analysis using advanced statistical and analytical techniques to derive actionable insights and make data-driven recommendations.
- Identify trends, patterns, and correlations in data to support business decision-making.
- Develop and present comprehensive reports and dashboards that provide meaningful insights to stakeholders.
- Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into data analytics solutions.
- Present findings and insights to senior management and key stakeholders, effectively communicating complex information in a clear and concise manner.
Requirements:
- Bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline. A master's degree is preferred.
- Min 6 months of relevant work experience (Intern experiences can be consider)
- Expertise in data analytics, business intelligence, and data visualization tools and technologies.
- Strong knowledge of statistical analysis, data modelling, and data mining techniques.
- Proficiency in SQL and familiarity with at least one programming languages such as Python or R.
- Cloud experience, ideally with GCP.
- Experience in creating Dashboard by using Tableau & Power BI.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Excellent communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical stakeholders.
- Demonstrated business acumen and ability to understand and align data analytics initiatives with organizational goals.
