Deskripsi Pekerjaan
Are you a data-driven leader looking to make a significant impact at one of Indonesia's leading retail and distribution companies? Erajaya is seeking a highly analytical and strategic Data Science Analyst - Supervisor to join our growing analytics team in Pasarrebo, Jakarta.
In this role, you will be responsible for bridging the gap between raw data and actionable business insights. You will lead analytical projects, mentor junior analysts, and work closely with cross-functional stakeholders to drive data-informed decision-making across our retail operations. The ideal candidate possesses a deep understanding of statistical modeling, machine learning, and business intelligence, coupled with the leadership skills to manage complex workflows and deliver high-quality results in a fast-paced environment.
If you are passionate about transforming complex datasets into innovative solutions that optimize business performance, we invite you to apply and help shape the future of data at Erajaya.
Tanggung Jawab
- Lead and supervise a team of data analysts to execute end-to-end data science projects.
- Develop and implement predictive models, statistical analysis, and machine learning algorithms to solve business problems.
- Translate complex data findings into clear, actionable insights for senior management and non-technical stakeholders.
- Monitor and improve the performance of existing data models and automated reporting systems.
- Collaborate with IT and product teams to ensure data integrity and infrastructure optimization.
- Drive the development of dashboards and visualization tools to track Key Performance Indicators (KPIs).
- Mentor team members on best practices in data cleaning, exploratory data analysis, and documentation.
Kualifikasi
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, Economics, or a related quantitative field.
- Minimum 3-5 years of professional experience in data analysis, data science, or a similar analytical role.
- Proven experience in a supervisory or team-lead capacity.
- Proficiency in SQL and programming languages such as Python or R.
- Strong experience with BI tools (Tableau, Power BI, or Looker) and data visualization techniques.
- Solid foundation in statistical methods, probability, and hypothesis testing.
- Excellent communication and stakeholder management skills with the ability to present technical data to a business audience.