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PT Dibimbing Digital Indonesia
Kota Administrasi Jakarta Selatan, Indonesia
Pendidikan
082113174667
tsaniakautsar@dibimbing.id

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Data Analyst Intern

PT Dibimbing Digital Indonesia 20Pelamar
Penempatan: Administrasi Jakarta Selatan
1 Orang Dibutuhkan
Durasi Magang : 6 Bulan
Tanggal Mulai Magang : 08 September 2025
Tanggal Selesai Magang : 09 Maret 2026
Tipe Magang : Umum
Metode Magang : Hybrid
Lowongan Tutup
Diposting pada 11 Juni 2025 WIB• Tutup tutup
Jenjang : Sarjana/S1 Prodi : Semua Prodi IPK Minimal : 3.2 Minimal Semester : 7
Tanggal Buka : 11 Juni 2025 WIB Tanggal Tutup : 07 Agustus 2025 WIB
- Active student in Data Science, Statistics, Business, or related fields (Data Science/Data Analyst bootcamp graduates are welcome).
- Proficient in data tools such as SQL, Power BI, Python, Excel, and Looker Studio.
- Strong willingness to learn, high curiosity, and a “can-do” mindset.
- Analytical thinker with the ability to communicate data insights to non-technical audiences.
- Strong sense of ownership and good business acumen.
- Familiarity with digital marketing metrics is a plus.
- Collect, clean, and validate data from various sources.
- Conduct data analysis using methods such as SWOT, Fishbone, and others.
- Identify trends, patterns, and generate business insights.
- Create clear and compelling data visualizations (charts, graphs, etc.).
- Ensure accurate and timely delivery of reports.
- Organize and manage structured data storage.

  1. Data Collection, Cleaning & Validation
    – Enhancing attention to detail and accuracy by gathering data from multiple sources, cleaning inconsistencies, and validating data quality for analysis.

  2. Analytical Thinking & Problem-Solving
    – Strengthening critical thinking through the use of analytical frameworks such as SWOT, Fishbone, and other structured methods to uncover root causes and solutions.

  3. Trend Analysis & Insight Generation
    – Developing the ability to identify meaningful patterns and translate data into actionable business insights for decision-making.

  4. Data Visualization & Storytelling
    – Improving skills in presenting data visually through charts, graphs, and dashboards that are both clear and compelling.

  5. Report Development & Time Management
    – Building responsibility in ensuring reports are accurate, informative, and delivered in a timely manner to support business needs.

  6. Data Structuring & Management
    – Learning how to organize, store, and manage data in structured formats for easy access and long-term usability.