Senior Data Analyst

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Sociolla dengan posisi Senior Data 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.

Sociolla melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Senior Data Analyst di West Jakarta yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Sociolla. 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 Senior Data Analyst di West Jakarta Perusahaan Sociolla:

Requirements :

• Minimum 3 years of relevant work experience, preferably in the retail or retail enabler industries.
• Proficient in at least one programming language for data processing, such as Python or R, and SQL scripting.
• Hands on experience working with large scale datasets, conducting exploratory and advanced data analysis while maintaining data integrity.
• Experience in business analytics, data mining, data modeling, and data visualization to support data-driven decision making is a plus.
• Comfortable working in a fast paced, agile, and proactive work environment.
• Willing to explore and apply modeling techniques, including forecasting models, trend analysis, and scenario simulations.
• Proficient in English, both written and verbal.

Job Description :

• Combines business analytics, data mining, and data visualizations to help organizations make more data driven decisions.
• Interprets data, patterns, and trends, turns it into actionable insights to improve business.
• Provides routine and ad hoc reports, ensuring insights are not only descriptive but also predictive and prescriptive where applicable.
• Translates routine data inquiries into automated and efficient reporting solutions to support operations and streamline decision making.
• Utilizes modeling techniques to build forecasting models, trend analyses, and scenario simulations, enhancing the depth of data driven insights.
• Works with large scale datasets to conduct exploratory and advanced data analysis, ensuring data integrity and uncovering new opportunities for optimization.