Penuh Waktu
Swasta

Data and Analytics Specialist

PT. AQ Business Consulting Indonesia (AsiaQuest Indonesia)
  • S1 Teknik Komputer

  • Kota Jakarta Pusat, Dki Jakarta

  • Masuk untuk melihat gaji

2 months ago

Valid sampai 30 Agustus 2025

Dilihat 1002 kali

Persyaratan
  • Disarankan jurusan S1 Teknik Komputer

  • Level Pekerjaan : Sudah Berpengalaman

  • Jenis kelamin : Semua Jenis Kelamin

  • Tidak ada syarat tinggi Laki-Laki

  • Tidak ada syarat tinggi Perempuan

  • Tidak buta warna, Boleh berkaca mata

  • Tidak ada batas usia

  • 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

  • Batas Pendaftaran 30 Agustus 2025

  • Pendaftaran online : Tersedia

  • Tipe lowongan : Umum

  • Membutuhkan data nilai : Tidak

  • Membutuhkan kelengkapan scan dokumen : Tidak

Gambaran Perusahaan
  • Kategori perusahaan Teknologi Informasi

  • Website : https://recruitment.aqi.co.id/

  • Jenis perusahaan Swasta

  • Hari kerja Senin - Jumat

  • Gaya berpakaian Bebas Casual

  • Skala perusahaan 50 - 100 Karyawan

Detail Pekerjaan

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.
Requirements:
 
Education and experienced
  • 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.
Technical skill
  • 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