Data Analyst

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

Adapundi 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 Adapundi. 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 Adapundi:

Job Descriptions:

* Collect, clean, and analyze data (e.g., transactions and user activity) to identify trends, patterns, and actionable insights that support product, operational, and business decisions

* Design, build, and maintain high-quality datasets that are accurate, consistent, and scalable to support effective analysis and reporting.

* Develop and maintain dashboards and reports (using tools such as Power BI, Looker Studio, Tableau, and Google Data Studio) to monitor performance and communicate key metrics effectively

* Translate complex data into clear, actionable insights and present findings to support decision-making across teams

* Collaborate with cross-functional stakeholders to understand business needs and deliver data-driven solutions

* Perform in-depth analyses to support strategic initiatives and drive business performance improvements

* Document data sources, methodologies, and processes to ensure data integrity, transparency, and usability

Job Requirements :

* 3-5 years of experience as a Data Analyst, preferably in fintech, banking, or similar industries

* Strong skills in data analysis, including data cleaning, data modeling, and data interpretation

* Proficient in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau, Looker Studio); Python is a plus

* Experience working with large datasets (e.g., transaction or user data)

* Good understanding of basic statistics and analytical thinking

* Able to communicate insights clearly to stakeholders