Moladin is Indonesia's leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years. As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. Please refer to our website at https://moladin.com/en/ for more information.
Responsibilities
- Lead data analysis projects from inception to completion, including data collection, cleansing, processing, and analysis.
- Develop and refine pricing models and algorithms to optimize pricing decisions.
- Develop predictive models and algorithms to support business forecasting, optimization, and decision-making processes.
- Collaborate closely with cross-functional teams, including Operations, Strategy, Business, Product and Engineering, to understand the business requirements and translate them into actionable insights.
- Design and develop data visualizations, dashboards, and reports to communicate findings and recommendations effectively to stakeholders.
- Stay current with industry trends, emerging technologies, and best practices in data analysis and data science, and contribute to continuous improvement initiatives within the team.
- Apply advanced statistical techniques and algorithms to identify patterns, trends, and correlations in large datasets.
- Minimum 4 years of experience with data analysis, business intelligence, or data science roles, preferably a fast-paced environment in a FinTech firm.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or related field.
- Previous experience in working along with the Pricing teams is preferred, in the automotive industry.
- Understanding of the used car market, pricing dynamics, and customer behavior in the automotive industry is a plus.
- Proficiency in SQL, Github, and Python, or other programming languages for data analysis and statistical modeling.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib or seaborn is good to have.
- Strong analytical and problem-solving skills, with the ability to think critically and independently.
- Excellent communication and interpersonal skills, with the ability to present technical concepts to non-technical stakeholders.
- Proven track record of delivering high-quality analysis and actionable insights that drive business impact.
- Experience working with large datasets, structured and unstructured data, and data preprocessing techniques.
- Familiarity with basic machine learning techniques such as regression, classification, clustering, and time series analysis.
