Data Analyst

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

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

Data Analyst
Responsibilities:
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques
Develop custom data models and algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Requirements:
Having 2-3 years of experience manipulating data sets and building statistical models.
Having experience using Python minimal 1 year.
Education background: Bachelor’s degree, but preferable from a Master’s degree in Statistics, Mathematics, or another quantitative field (Fresh Graduate Welcome). GPA must be 3.00+
Young and energetic person.
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Deep knowledge of handling big data.
Knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.
A drive to learn and master new technologies and techniques.
Adaptable to dynamic work environments.
Understanding gaming trends is a plus.
Note:
There is a test for every suitable candidate.
Only the candidates who pass the test will be invited to an interview session.