Data Analyst - PayLater
Join Traveloka as a Data Analyst - PayLater and play a pivotal role in shaping the future of financial services in Indonesia. This is a unique opportunity to collaborate with our Data Science team to refine and enhance collection models and scorecards, ensuring robust and efficient financial operations. In this role, you'll work closely with our PayLater team to analyze data, identify trends, and provide actionable insights that drive business decisions.
Traveloka is a leading travel technology company in Southeast Asia, with a strong commitment to innovation and customer satisfaction. Based in Bali, we offer a dynamic and collaborative work environment where your contributions will directly impact the success of our financial services. As a Data Analyst, you'll have the chance to work with cutting-edge tools and technologies, and grow your skills in a rapidly evolving industry.
๐ Tanggung Jawab Pekerjaan
- Develop and maintain data models and scorecards to support PayLater's collection processes.
- Analyze large datasets using tools like SQL, Python, and R to identify trends and patterns.
- Create visualizations and dashboards using Tableau or Power BI to communicate insights effectively.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Perform data quality checks and ensure the accuracy and reliability of data used in decision-making.
- Stay updated with industry trends and best practices in data analysis and financial services.
- Participate in Agile ceremonies and contribute to continuous improvement initiatives.
- Mentor and support junior team members in their professional development.
๐ Kualifikasi & Syarat
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 3-5 years of experience in data analysis, with a strong background in financial data.
- Proficiency in SQL, Python, and R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of statistical methods and machine learning techniques.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
- Certification in data analysis or a related field is a plus.
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang