Data Analyst Intern

Amar Bank (Jakarta, Jakarta, Indonesia)

DKI Jakarta, อินโดนีเซีย

Amar Bank is transforming banking for the digital era since 2014. We're all about supporting small businesses and those who don't have access to conventional banks. Our AI and cloud technology hooks you up with personalized ways to save, pay, and handle your finances. Meet our star player: Tunaiku! As of 2023, Tunaiku has served more than 14 million loan applicants, enabling those who are in need to access over IDR 9 trillion loans. At Amar Bank, we aim to make a meaningful impact on the lives of our customers. Get ready to level up with our epic innovations! PT Bank Amar Indonesia Tbk is a participant in LPS guarantee, licensed and supervised by OJK.

เกี่ยวกับตำแหน่งนี้

As a Data Analytics Intern, you will play a crucial role in analyzing and interpreting data to support key business decisions. You'll generate reports from analytical findings, utilize analytics tools for statistical analysis, and collaborate with teams on projects. This role provides hands-on experience in data analytics and opportunities for professional development.

หน้าที่รับผิดชอบ

• Data Collection and Analysis: Assist in collecting, cleaning, and organizing data from various sources. Conduct quantitative and qualitative analysis to extract meaningful insights.
• Report Generation: Prepare clear and concise reports based on analytical findings. Present findings to team members and stakeholders in a comprehensible manner.
• Collaboration: Collaborate with cross-functional teams to understand business requirements. Work closely with team members to support ongoing analytics projects.
• Continuous Learning: Stay updated on financial industry trends and emerging analytics technologies. Proactively seek opportunities for professional development within the analytics field.

คุณสมบัติ

• Currently attending university majoring in Mathematics, Statistics, Engineering, Computer Science or Business. Fresh graduate is welcome.
• Excellent proficiency in Ms. Excel.
• Strong analytical skills with a keen eye for detail and problem-solving.
• Ability to communicate complex findings clearly and concisely both in Bahasa Indonesia and English.
• Eager to learn and adapt in a dynamic environment.
• Organization and time management skills.
• Strong interest with financial industry and data analytics.
Bonus point if:
• Having hands-on experience with data analysis tools and software such as Power BI, Tableau, Looker Studio.
• Proficiency in data analytics programming languages such as R, Python, SQL.