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A Day in the Life of a Data Analyst at an Insurance Company

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Belajar skill digital lebih dalam, LIVE bareng top instructors!

Jumat, 30 Januari 2026

|

19.00 - 21.00 WIB

100% Gratis

Kelas LIVE dan Interaktif

Topik & Materi Baru dan Selalu Up-to-Date

Ahmad Hani Mustafa

Head of Business Process at Sunday, ex-Bank Jago

300+ Learners and Thaught 10 Classes

  • 10+ years of experience in Data Analystics

  • 3+ Years of Experience Teaching, Mentoring, and Interviewing Session

  • Ex KYC & AML MIS Specialist at Bank Jago

  • 99% positive feedback score for SQL and Data Visualization training

  • Instructor Lead for Data Visualization

Kenapa Harus Belajar di RevoU Masterclass?

Masterclass ini akan membantu kamu memahami peran penting seorang Data Analyst dalam pengambilan keputusan berbasis data. Kamu akan belajar tanggung jawab utama, cara mengatur prioritas, berkolaborasi dengan tim lain, serta menggunakan berbagai tools untuk mengolah dan menganalisis data. Di akhir sesi, kamu juga akan mengerjakan studi kasus nyata untuk melihat bagaimana data diubah menjadi insight bisnis yang berdampak.

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Kelas ini cocok untukmu jika kamu ingin:

Mengeksplorasi peluang karier di bidang digital

Menambah wawasan tentang karier dan profesi di bidang digital

Mempelajari ilmu dan skill yang dibutuhkan untuk memulai karier di bidang digital

Jangan Sampai Ketinggalan.
Daftar Sekarang!

Jumat, 30 Januari 2026

|

19.00 - 21.00 WIB

Kamu akan belajar tentang

A Day in the Life of a Data Analyst at an Insurance Company

Jumat, 30 Januari 2026 | 19.00 - 21.00 WIB


Kamu akan mempelajari:


Introduction to the Data Analyst Role

  • Understand the core responsibilities and daily activities of a Data Analyst, and how their work drives data-driven decision-making.

Daily Routine and Planning

  • Discover how Data Analysts organize their day, plan tasks, and prioritize work efficiently.

Team Collaboration

  • Understand the importance of teamwork and effective communication between Data Analysts and other departments (e.g., marketing, product, management).

Data Processing and Analysis

  • Learn the key tools and techniques Data Analysts use to process, clean, and analyze data.

Data Cleaning and Problem-Solving

  • Understand how to troubleshoot data-related issues, such as missing values, inconsistencies, or errors, and resolve them effectively.

Case Study: Analyzing Data for Business Insights

  • Apply the knowledge gained by working through a real-world example of how a Data Analyst uses data to drive business decisions.

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