1. Selecting features, building and optimizing classifiers using machine learning techniques.
2. Data mining using state-of-the-art methods.
3. Extending the company’s data with third-party sources of information when needed.
4. Enhancing data collection procedures to include information that is relevant for building analytic systems.
5. Processing, cleansing, and verifying the integrity of data used for analysis.
6. Doing ad-hoc analysis and presenting results in a clear manner.
7. Solving use cases related to the Telecommunication Industry.

1. Menerima, memprioritaskan dan menyelesaikan permintaan bantuan IT
2. Membeli hardware IT, software dan hal-hal lain yang berhubungan dengan hal tersebut.
3. Instalasi, perawatan dan penyediaan dukungan harian baik untuk hardware & software Windows, peralatan termasuk printer, scanner, hard-drives external, dll
4. Korespondensi dengan penyedia jasa eksternal termasuk Internet Service Provider, penyedia jasa Email, hardware, dan software supplier, dll
5. Mengatur penawaran harga barang dan tanda terima dengan supplier untuk kebutuhan yang berhubungan dengan IT
6. Menyediakan data / informasi yang dibutuhkan untuk pembuatan laporan department regular
7. Maintain dan perawatan jaringan LAN
8. Archive data
9. Maintain dan perawatan computer
10. Maintenance LAN dan Koneksi Internet
11. Maintenance hardware
12. Maintenance database dan file
13. Help Desk
14. Inventory

• Jenis Data: Teks, angka, tanggal, dll.
• Sumber Data: Asal data, misal pengguna atau formulir.
• Proses Input: Metode memasukkan data, seperti aplikasi atau formulir.
• Validasi Data: Memastikan data akurat dan sesuai format.
• Format Data: Cara penyimpanan, misal CSV atau database.
• Tujuan Penggunaan: Alasan pengumpulan data (analisis, laporan).
• Keamanan dan Privasi: Perlindungan data dari akses yang tidak sah.

• Memasukkan data dengan akurat.
• Memverifikasi dan memperbaiki kesalahan data.
• Mengelola dan mengorganisir file atau database.
• Membuat laporan sederhana.
• Memastikan data selalu terbaru dan terstruktur dengan baik.

1. Klasifikasi Transaksi yang termasuk ke dalam objek pajak

2. Menghitung dan Kalkulasi Pajak Masa Seperti PPh 21 Tidak Final, 23, 4(2), 25, 26 dan PPN

3. Melakukan Pelaporan SPT Masa PPh 21, 23, 4(2), 26 dan PPN

4. Koordinasi dengan Staff AP untuk Penentuan Pemotongan PPh 23, 4(2), 21 tidak final dan 26 dari setiap Invoice yang diterima 

5. Rekonsiliasi data PPN antara Jurnal dan Laporan untuk perpajakan

6. Koordinasi dengan Staf Asset Management mengecek data Aset untuk dilaporkan di SPT Tahunan Badan/Perusahaan

7. Konsultasi dengan FAM dan CFO atas Case-case yang terjadi

8. Koordinasi dengan Tim HR atas data karyawan yang dibutuhkan untuk perhitungan PPh 21

9. Menerbitkan Faktur Pajak atas invoice penagihan Corporate dan Ritel

10. Membuat Bukti Potong untuk vendor

1.   Melakukan koordinasi dalam penerimaan dan pengeluaran barang/perangkat serta perpindahan dengan User terkait.

2.   Melakukan koordinasi berkala dengan tim inventory kantor Pusat.

3.   Melakukan pendataan atas penerimaan, pengeluaran dan perpindahan barang/perangkat

4.   Mengelola dan memantau keamanan stock barang atau perangkat

5.   Mengelola dan mengendalikan persediaan barang/perangkat fisik dengan stock dan data riil.

6.   Mengelola sistem penyimpanan Barang/Perangkat dengan efektif. 

7.   Mengajukan permintaan permintaan Barang, Perangkat, Tools yang berkelanjutan sebagai penunjang Operasional di kantor maupun dilapangan.

8.   Melakukan stock opname berkala bulanan pada gudang site dan memberikan pelaporan kepada inventory pusat. ( cabang )

9.   Melakukan stock opname berkala bulanan pada gudang penyimpanan dan memberikan pelaporan kepada Head Of Division. ( Pusat )

1.  Menjaga Nilai Aset yang Dimiliki Perusahaan

2.  Memantau depresiasi dan amortisasi asset Perusahaan.

3.  Mempermudah Perusahaan dalam Membuat Anggaran

4.  Mencegah Perusahaan Melakukan Pembelian yang Berlebihan

5.  Menciptakan Manajemen Risiko

6.  Meningkatkan Keamanan Aset yang Dimiliki Perusahaan

7.  Menjadi bagian penting dalam Penyusunan Neraca Akuntansi

8.  Menghapus dan memperbaharui aset untuk memenuhi tujuan perusahaan dengan cara yang efektif dan efisien

1. Melakukan pengawasan segala aktivitas operasional yang dilakukan para karyawan dikantor cabang dan unit kerja dibawahnya.
2. Melakukan koordinasi aktivitas kepada Department yang berada dibawah naungan cabang maupun unit kerja.
3. Mengelola semua aspek operasional cabang dan unit kerja seperti operasional logistik, infrastruktur, sumber daya manusia, layanan customer, administrasi dan penjualan dll.
4. Bertanggung jawab menjaga dan memelihara fasilitas, sarpras maupun asset perusahaan di Cabang dan Unit Kerja.
5. Membuat perencanaan dan mengimplementasikan pengembangan wilayah, Kebutuhan SDM serta target perjualan Cabang dan Unit kerja.
6. Memenuhi informasi dan koordinasi dengan kantor pusat perihal praktik kerja efektif, peluang bisnis, kebutuhan maupun kendala operasional lainnya.
7. Melakukan observasi secara langsung terhadap kinerja dari para bawahannya.
8. Menangani masalah kepuasan pelanggan.

1. Audit and validate data to ensure accuracy, completeness, and adherence to organizational standards
2. Perform regular data cleaning and de-duplication tasks
3. Monitor data entry processes to ensure consistent quality
4. Partner with other teams to address data quality issues
5. Generate reports to highlight inconsistencies and provide actionable recommendations

Your role 

In this context, you’ll be joining as Data Engineer, and reporting to the Tech Lead. As Data Engineer you will also be assisting cross-departments such as Marketing and Sales teams. The Data Engineer will complete routine data engineer work and oversee simple to complex projects of data migration, database migration, ETL Migration, and many more.

The Senior Data Engineer will be responsible for the following activities: 

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

What You'll Do

• Creating report for all digital marketing campaign : Influencer marketing, and paid media buying.
• Research, perform benchmarking, analyze data, and help make recommendations.
• Work closely with Digital Marketing team to gather data and information due to creating the analysis
• Monitoring market trends so that can bring some recommendation for the report
• Understand the campaign and the client very well in order to prepare the appropriate report
• Maintain the deadline for the report generation
• Produce data visualization with a strong storytelling element.
• Develop a market insight / market trend due to help the Digital Marketing team for supporting data while on pitch

Memindahkan data dari Sistem kedalam MS word dan excel.

Menginput data barcoding kedalam sistem

Dapat dikerjakan secara online / WFH

DICARI ADMIN UNTUK MELAKUKAN KEBUTUHAN SURAT-SURAT PRODUKSI DAN REKAPAN DATA PERUSAHAAN

UNTUK INFORMASI MENGENAI LOWONGAN PEKERJAAN SILAHKAN HUBUNGI :

SULIS : 0816 1611 631 (WHATSAPP)

DICARI ADMIN UNTUK MELAKUKAN KEBUTUHAN SURAT-SURAT PRODUKSI DAN REKAPAN DATA PERUSAHAAN

1. Input data
2. Mengirim data ke supplier
3. Pengecekan aset mesin

1. Assist in collecting and cleaning employee data from various sources.
2. Process data using Excel or Google Sheets to create basic reports.
3. Create simple data visualizations (charts, tables) to display trends and patterns.
4. Help analyze data related to employee turnover, attendance, productivity, and engagement.
5. Support the team in preparing clear and understandable reports for management.

• Current student or recent graduate in a relevant field (Statistics, Management, Psychology, Information Technology, or other related disciplines).
• Basic data analysis skills – familiar with Excel or Google Sheets, SQL and Phyton as poin plus.
• Good communication skills – able to explain analysis results clearly and simply.
• Interest in HR and data-driven decision-making.
• Preferred: Basic experience with data visualization tools like Power BI or Tableau.
• Domicile in Tangerang / South Tangerang area

- Internship Allowance

- Hybrid working

PT. MEGA ARTHA LINTAS DATA merupakan perusahaan yang bergerak di bidang Internet Service Provider

PT. MEGA ARTHA LINTAS DATA merupakan perusahaan yang bergerak di bidang Internet Service Provider

PT. MEGA ARTHA LINTAS DATA merupakan perusahaan yang bergerak di bidang Internet Service Provider

PT. MEGA ARTHA LINTAS DATA merupakan perusahaan yang bergerak di bidang Internet Service Provider

About Us

INDICO is a digital technology subsidiary company of Telkomsel, Indonesia's leading digital telecom company. INDICO plays a strategic role as a holding company that houses current and prospective vertical digital business portfolios, including Kuncie (edu-tech), Fita (health-tech), and Majamojo (game). Moving forward, INDICO aims to explore opportunities in multiple verticals adjacent to Telkomsel’s digital businesses. As a digital platform company, INDICO aims to leverage Telkomsel’s digital assets and capabilities to create a flywheel effect of innovations to develop cross-sectoral digital solutions that will empower Indonesia’s digital economy.

We are looking for a talented Data Scientist to join our growing team. In this role, you will be responsible for analyzing complex data sets and deriving actionable insights to drive strategic business decisions. You will work closely with cross-functional teams and leverage your analytical skills to improve our digital offerings.

What you will do but not limited to:

• Analyze large datasets to identify trends, patterns, and anomalies.
• Design and build data models to support business objectives.
• Collaborate with product and engineering teams to implement machine learning solutions.
• Develop visualizations and reports to communicate insights effectively to stakeholders.
• Perform statistical analysis and predictive modeling.
• Continuously monitor and evaluate model performance.
• Stay updated with the latest trends and technologies in data science and analytics.

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
• Minimum 2-4 years of experience in data science or a related field.
• Strong proficiency in statistical analysis and data visualization tools (e.g., R, Python, SQL, Tableau).
• Experience with machine learning algorithms and frameworks.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and critical thinking skills.
• Ability to work collaboratively with cross-functional teams.
• Excellent communication skills in both English and Bahasa Indonesia.

• Design, develop, and maintain data pipelines, ETL processes, and data warehouses.
• Ensure data quality, integrity, and reliability throughout the data pipeline.
• Work with GCP services such as Google Cloud Storage, BigQuery, Dataflow, and Pub/Sub to architect and implement scalable and efficient data processing solutions.
• Monitor and troubleshoot data pipeline issues.
• Implement security and access controls to protect sensitive data and ensure compliance with data privacy regulations.
• Document data processes, data flows, and architectural decisions.

We’re looking for fresh graduates with experience in manipulating datasets and building statistical models for credit risk by leveraging machine learning techniques. You will partner with business, product, and engineering team to explore, determine, analyze, propose, and solve some of the most challenging business problems in lending and reduce risk. You will perform deep-dive exploration and analysis to find improvements in our existing framework. You will be submerged in a fast-paced environment working tightly in a strong team of data scientists and experience firsthand our robust data infrastructure.

Responsibilities

• Perform features selection, parameter binning, and optimize custom predictive machine learning models for credit risk scoring
• Query, process, cleanse, and verify the integrity of data used for analysis
• Analyze key metrics to determine risk and explore areas for improvements
• Create reports and dashboards to monitor model impact and performance
• Help build the variety of data ingredients needed to do modelling effectively
• Maintain the credit risk model platform which is utilized by the team
• Provide advice and guidance on potential efficiency gains and new state-of-the-art credit risk modelling methodologies

Job Description:

You will play a key role in supporting our team by ensuring data accuracy and completeness. Your responsibilities will include:

• Adjust raw data to align with clients' templates and specifications.
• Utilize provided resources to fill in any vacant data fields.
• Reach out to campaign participants as needed to verify or gather additional information.

Requirements :

• Proficient in Microsoft Excel.
• Comfortable in working with numbers.
• Strong attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Fresh graduates are encouraged, 1-2 years’ experience is a plus.
• Bachelor's degree in natural science, engineering, statistics, accounting, or mathematics preferred.
• Available to work a 3 to 6 month internship.
• Ready to work in a hybrid role; Monday and Friday (WFA); Tuesday, Wednesday, and Thursday (WFO) at Menara Sentraya, Blok M, South Jakarta.

Deskripsi Pekerjaan

PT. Cargo Squad Indonesia membuka kesempatan berkarir untuk posisi Data Analyst yang akan bertanggung jawab dalam menganalisis dan mengelola data operasional kendaraan angkutan barang perusahaan.

Tanggung Jawab:

- Mengumpulkan dan menganalisis data operasional armada kendaraan (utilization rate, fuel consumption, maintenance records)

- Membuat dashboard dan laporan performa kendaraan secara berkala

- Mengidentifikasi pola dan tren dalam data operasional untuk optimasi rute dan efisiensi bahan bakar

- Memberikan rekomendasi berbasis data untuk peningkatan operasional dan pemeliharaan armada

- Mengembangkan sistem tracking dan monitoring kendaraan yang efektif

- Berkolaborasi dengan tim operasional untuk implementasi solusi berbasis data

Kualifikasi:

- Pendidikan minimal SMA Sederajat

- Pengalaman minimal 2 tahun di bidang analisis data, lebih disukai di industri logistik/transportasi

- Mahir menggunakan MS Excel

- Pemahaman yang baik tentang fleet management dan logistics operations

- Kemampuan analitis yang kuat dan attention to detail

- Komunikatif dan dapat bekerja dalam tim