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Sains & Teknologi 🏢 Full Time ⭐️ Terverifikasi

Business Intelligence Engineer

Dwi Cermat Indonesia
Jakarta Raya
Estimasi Gaji
Rp 15.000.000 – Rp 25.000.000
Live Update
25 Mei 2026
Batas Akhir
25 Mei 2027

Deskripsi Pekerjaan

Are you a data-driven professional passionate about transforming complex datasets into actionable business intelligence? Dwi Cermat Indonesia is looking for a highly skilled Business Intelligence Engineer to join our growing analytics team. In this role, you will be the bridge between raw data and strategic decision-making, designing and maintaining the robust data infrastructure that powers our organizational growth.

You will work closely with cross-functional teams to build scalable ETL pipelines, optimize data warehouses, and create intuitive dashboards that provide deep insights into our business performance. The ideal candidate thrives in a fast-paced environment and is committed to data integrity and engineering excellence.

Tanggung Jawab

  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest data from diverse sources.
  • Architect and optimize data warehouse solutions to ensure high performance and data availability.
  • Collaborate with stakeholders to identify key business metrics and translate requirements into technical specifications.
  • Build and maintain interactive, high-impact dashboards using BI tools (e.g., Tableau, Power BI, or Looker).
  • Perform deep-dive data analysis to uncover trends, anomalies, and opportunities for business growth.
  • Implement data quality frameworks to ensure accuracy and consistency across all reporting systems.
  • Automate manual reporting processes to improve operational efficiency and data accessibility.

Kualifikasi

  • Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related quantitative field.
  • Minimum 3+ years of experience in Business Intelligence, Data Engineering, or a similar analytical role.
  • Strong proficiency in SQL and advanced data modeling techniques.
  • Experience with cloud data platforms such as AWS (Redshift/Glue), Google Cloud (BigQuery), or Azure.
  • Proficiency in programming languages like Python or R for data manipulation and automation.
  • Hands-on experience with modern BI visualization tools (Tableau, Power BI, or Superset).
  • Proven ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong analytical mindset with a passion for problem-solving in a fast-paced environment.

Keahlian yang Dibutuhkan

Business Intelligence SQL ETL Data Warehousing Python Data Visualization Cloud Computing Data Modeling BigQuery AWS

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