Data Analyst Staff (for Desk Collection team)

Join PinjamanGo as a Data Analyst Staff for our Desk Collection team and play a pivotal role in driving data-driven decisions within the financial services sector. This position offers a unique opportunity to work in a dynamic environment where your analytical skills will be crucial in managing and optimizing collection processes. Based in Jakarta Raya, you'll have the chance to work with cutting-edge tools and technologies, helping us achieve our mission of providing financial solutions to millions of people across Indonesia.

As a Data Analyst Staff, you will be responsible for analyzing complex data sets to identify trends, patterns, and insights that can improve our collection strategies. You will work closely with our team to develop and implement data-driven solutions that enhance our operations and customer experience. This role is perfect for someone who is passionate about data and wants to make a real impact in the financial services industry.

If you are a skilled Data Analyst with experience in financial services and a desire to drive data-driven decisions, we encourage you to apply. Join us at PinjamanGo and be part of a team that is transforming the financial landscape in Indonesia.

📋 Tanggung Jawab Pekerjaan

• Analyze and interpret complex data sets to identify trends, patterns, and insights.
• Develop and implement data-driven solutions to improve collection processes.
• Create and maintain reports and dashboards using tools like Tableau and Power BI.
• Collaborate with the Desk Collection team to understand business needs and provide data-driven recommendations.
• Ensure data accuracy and integrity through regular validation and quality checks.
• Participate in cross-functional projects to support the overall business strategy.
• Stay updated with industry trends and best practices in data analysis.
• Provide training and support to junior team members on data analysis techniques and tools.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• 2-4 years of experience as a Data Analyst in the financial services industry.
• Proficiency in SQL, Python, and R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau and Power BI.
• Strong understanding of statistical methods and techniques.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Certification in data analysis (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate) is a plus.

🛠️ Keahlian

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