Business Intelligence Analyst

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Indodana dengan posisi Business Intelligence Analyst. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Indodana melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Business Intelligence Analyst di Jawa yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Indodana. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Business Intelligence Analyst di Jawa Perusahaan Indodana:

Job Description

• Interpreting data, analyzing results using query, data statistical techniques.
• Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools.
• Develop analytical reports and represent large, complex sets of data through visual representation.
• Present information in a way that drives fact based decision making.
• Propose and define new business process improvement opportunities based on the data to drive business impact.
• Work with management to prioritize business and information needs.

Qualifications

• Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field.
• Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable).
• Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these.
• Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment.
• Excellent written and verbal communication skills.
• Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus.
• Ability to work well and deliver under pressure.