
Data and Analytics Specialist
PT. AQ Business Consulting Indonesia (AsiaQuest Indonesia)-
S1 Teknik Komputer
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Kota Jakarta Pusat, Dki Jakarta
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Masuk untuk melihat gaji
2 months ago
Valid sampai 30 Agustus 2025
Dilihat 1002 kali
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Disarankan jurusan S1 Teknik Komputer
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Level Pekerjaan : Sudah Berpengalaman
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Jenis kelamin : Semua Jenis Kelamin
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Tidak ada syarat tinggi Laki-Laki
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Tidak ada syarat tinggi Perempuan
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Tidak buta warna, Boleh berkaca mata
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Tidak ada batas usia
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Penempatan di Tamansari Parama Boutique Office, Jl. K.h. Wahid Hasyim No.84-88 10th Floor, Suite A, Rt.15/rw.3, Kb. Sirih, Kec. Menteng,, Kota Jakarta Pusat, Dki Jakarta
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Batas Pendaftaran 30 Agustus 2025
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Pendaftaran online : Tersedia
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Tipe lowongan : Umum
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Membutuhkan data nilai : Tidak
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Membutuhkan kelengkapan scan dokumen : Tidak
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Kategori perusahaan Teknologi Informasi
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Website : https://recruitment.aqi.co.id/
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Jenis perusahaan Swasta
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Hari kerja Senin - Jumat
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Gaya berpakaian Bebas Casual
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Skala perusahaan 50 - 100 Karyawan
Job Description:
- Collect, clean, and analyze data from various sources (databases, logs, APIs, etc.).
- Provide actionable insights based on trends and patterns in the data.
- Collaborate with business, product, and techincal teams to implement data-driven solutions.
- Document data sources, analysis processes, and model logic clearly.
- Able to run analytical projects from planning to implementation.
- Able to create interactive dashboards and reports using tools such as Tableau, Power BI, or others
- Able to identify trends, anomalies, and patterns to support business decisions.
- Bachelor's degree in Computer Science, Information Systems, or equivalent.
- Experience required : 3 years of work experience in data analyst/analytics, business intelligence, consulting or similiar.
- Experience in data warehousing (BigQuery, Redshift, Snowflake, etc.) is a plus.
- Experience with clients from various industries is a plus.
- Programming and analytics tools (Excel, Python/R, SQL, Postgres or similiar tools)
- Data Visualization tools (Power BI, Tableau, Looker, or similiar tools)
- Data Process and Cleaning (ETL / Data Wrangling, etc)
- Strong analytical capabilities complemented by exceptional presentation, data analysis, and visualization skills
- Understanding statistical concepts, regression analysis, segmentation, and A/B testing.
- Good communication, able to bridge technical and non-technical language.
- Able to understand the client's business context