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A Day in the Life of a Data Analyst at Tech Company

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Belajar skill digital lebih dalam, LIVE bareng top instructors!

Rabu, 19 November 2025

|

19.00 - 21.00 WIB

100% Gratis

Kelas LIVE dan Interaktif

Topik & Materi Baru dan Selalu Up-to-Date

Muhammad Azmi Fansuri

Data Analyst at OTA Company

6+ years experience in Data Science and Analytics

  • Data Scientist at ByteDance

  • Data Analyst Instructor at RevoU

  • Ex-Senior Data Analyst at Tokopedia

  • Ex-Data Scientist at Unilever via EVOSYS

  • Ex-Junior Data Scientist at PT Astra International Tbk

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!

Rabu, 19 November 2025

|

19.00 - 21.00 WIB

Kamu akan belajar tentang

A Day in the Life of a Data Analyst at Tech Company

Rabu, 19 November 2025 | 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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