Total 64 Others/Any data entry job vacancies in Karet Tengsin, Tanah Abang, KOTA ADM. JAKARTA PUSAT, DKI JAKARTA, Indonesia

• Mempersiapkan dan menyortir dokumen sebelum datanya dimasukkan ke dalam komputer.
• Memasukkan data ke dalam database milik perusahaan.
• Memeriksa dan memastikan keakuratan data yang sudah dimasukkan ke dalam database.
• Menyelesaikan perbedaan informasi dan data yang tidak lengkap.
• Membuat data cadangan yang menjadi bagian dari rencana kontingensi.
• Menanggapi permintaan informasi dari anggota yang berwenang.
• Menguji sistem database baru dan pembaruan dari perangkat lunak.
• Mengelola dokumen dan catatan dengan baik.
• Menyiapkan laporan yang relevan sesuai dengan kebutuhan.
• Menerima dan memproses invoice untuk pembayaran dan memperbarui rincian invoice.
• Mengidentifikasi dan mengoreksi kesalahan saat memasukkan data menggunakan metode kontrol kualitas yang sesuai.

• Mempersiapkan dan menyortir dokumen sebelum datanya dimasukkan ke dalam komputer.
• Memasukkan data ke dalam database milik perusahaan.
• Memeriksa dan memastikan keakuratan data yang sudah dimasukkan ke dalam database.
• Menyelesaikan perbedaan informasi dan data yang tidak lengkap.
• Membuat data cadangan yang menjadi bagian dari rencana kontingensi.
• Menanggapi permintaan informasi dari anggota yang berwenang.
• Menguji sistem database baru dan pembaruan dari perangkat lunak.
• Mengelola dokumen dan catatan dengan baik.
• Menyiapkan laporan yang relevan sesuai dengan kebutuhan.
• Menerima dan memproses invoice untuk pembayaran dan memperbarui rincian invoice.
• Mengidentifikasi dan mengoreksi kesalahan saat memasukkan data menggunakan metode kontrol kualitas yang sesuai.

• Mempersiapkan dan menyortir dokumen sebelum datanya dimasukkan ke dalam komputer.
• Memasukkan data ke dalam database milik perusahaan.
• Memeriksa dan memastikan keakuratan data yang sudah dimasukkan ke dalam database.
• Menyelesaikan perbedaan informasi dan data yang tidak lengkap.
• Membuat data cadangan yang menjadi bagian dari rencana kontingensi.
• Menanggapi permintaan informasi dari anggota yang berwenang.
• Menguji sistem database baru dan pembaruan dari perangkat lunak.
• Mengelola dokumen dan catatan dengan baik.
• Menyiapkan laporan yang relevan sesuai dengan kebutuhan.
• Menerima dan memproses invoice untuk pembayaran dan memperbarui rincian invoice.
• Mengidentifikasi dan mengoreksi kesalahan saat memasukkan data menggunakan metode kontrol kualitas yang sesuai.

• Mempersiapkan dan menyortir dokumen sebelum datanya dimasukkan ke dalam komputer.
• Memasukkan data ke dalam database milik perusahaan.
• Memeriksa dan memastikan keakuratan data yang sudah dimasukkan ke dalam database.
• Menyelesaikan perbedaan informasi dan data yang tidak lengkap.
• Membuat data cadangan yang menjadi bagian dari rencana kontingensi.
• Menanggapi permintaan informasi dari anggota yang berwenang.
• Menguji sistem database baru dan pembaruan dari perangkat lunak.
• Mengelola dokumen dan catatan dengan baik.
• Menyiapkan laporan yang relevan sesuai dengan kebutuhan.
• Menerima dan memproses invoice untuk pembayaran dan memperbarui rincian invoice.
• Mengidentifikasi dan mengoreksi kesalahan saat memasukkan data menggunakan metode kontrol kualitas yang sesuai.

• 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.

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

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.

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.

• Responsible as the first point of contact for issues raised by customers
• Troubleshoots issues regarding cloud environments
• Manage and monitor Cloud environments.
• Document issues and interactions with customers

- Work closely with stakeholders to understand their data needs and requirements.
- Analyze business needs & build dashboard/analytical solutions for stakeholders to support their decision making.
- Improve data quality and resolve data related issues that may occur together with data engineer and other related parties.
- Communicate and present data to stakeholders and manage their expectation
- Design and build data marts to enable self-service analytics

INDICO is a subsidiary 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.

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. Currently, INDICO is expanding its business in Agritech and Agribusiness named Telkomsel DFE (www.dfe.farm/).

INDICO believes we can reach beyond to empower Indonesians and enable businesses through our strong core values of EPIC WAY (Excellence, Positivity, Impactful Collaboration, Customer First, Walk the Talk, Accountability, Yes-if Mindset).

What you will do, but not limited to:

• Collect, clean and transform data from various sources into a standardize format.
• Build, train and evaluate machine learning models based on the specified design.
• Create clear and informative visualizations/report to effectively communicate findings and insights to stakeholders.

• Bachelor's degree in Mathematics, Computer Science, Physics and related field, or having related experience/project in Machine learning model
• Experience working with Python programming language
• Familiarity with Exploratory Data Analysis (EDA) using Python and it's relevant module (pandas, numpy)
• Understanding of fundamental Machine Learning (supervised vs unsupervised, different type of ML models, evaluation model: recall vs precission)
• Having experience build, train and evaluate a machine learning model (with sklearn, pytorch or tensorflow).
• Good analytical and problem-solving problem
• Eagerness to learn and adapt in a fast-paced environment

1. Mampu menyusun dan mengatur data
2. Pandai mengaplikasikan Ms.Office ,Ms.Excel ,Ms.Word dsb,
3. Pandai memperbaharui basis data produk
4. Mampu mengumpulkan data-data informasi dari berbagai sumber
5. Mampu bekerja dibawah team

1. Bisa mengaplikasikan Ms.Office, Ms. Excel, Ms. Word, dan sebagainya
2. Bisa menyalin data-data penting
3. Bisa mengatur dan menyusun data-data
4. Mampu memperbaharui informasi ke dalam format yang sesuai dengan kebutuhan organisasi atau proyek tertentu
5. Mengiput data-data penting

About the Role 

The Senior IT GRC and Data Privacy Analyst plays a crucial role in Amartha. You will be the warrior who will spearhead various IT GRC and Data Privacy programs to protect Amartha from internal and external threats, including monitoring and managing compliance with ISO 27001, POJK, PSrE, PDP, and other applicable regulations.

About the team

The Information Security team in Amartha is a group of dynamic, highly-analytical  individuals who are highly mindful in driving security and privacy by design within the various aspects of product lifecycle and engineering processes. We are the team who are highly passionate to be the security enabler of Amartha’s systems

Job Desc/What will you do

GRC Framework Development and Maintenance:

• Develop, implement, and maintain a comprehensive GRC framework that aligns with industry best practices and regulatory requirements.
• Conduct regular risk assessments to identify potential threats and vulnerabilities.
• Develop and implement risk mitigation strategies and action plans.
• Monitor and report on compliance with internal policies and external regulations.

Data Privacy Compliance:

• Ensure compliance with applicable data privacy regulations and data protection laws.
• Conduct data privacy impact assessments (DPIAs) for new projects or initiatives.
• Develop and implement data privacy policies and procedures.
• Manage data breaches and incidents, including notification processes and remediation activities.

Vendor Management:

• Assess the security and privacy practices of third-party vendors and suppliers.
• Negotiate and manage vendor contracts to ensure compliance with security and privacy requirements.

Regulatory Compliance:

• Stay up-to-date with evolving regulatory requirements and industry best practices.
• Provide guidance and support to the organization in meeting compliance obligations.

Identity and Access Management (IAM):

• Develop and maintain IAM policies, standards, and procedures.
• Implement and manage IAM systems and tools (e.g., identity provisioning, access control, single sign-on).
• Ensure the effective administration of user accounts and privileges.
• Conduct regular IAM audits and reviews to identify and address security gaps.
• Manage access certifications and segregation of duties controls.

Requirements

• 5+ years of related job experience
• Strong analytical and interpersonal skills
• Excellent communication both in written and spoken (English)
• Ability to express information clearly at different organizational levels
• Strong understanding of industry standards such as ISO 27001, NIST Cybersecurity Framework, GDPR, UU PDP
• Experience in the financial services industry (esp. Microfinance, Payments, etc)
• Having relevant certification are preferable (e.g.  CRISC, CIPP, etc)
• Experience with IAM technologies and frameworks (e.
• g., Active Directory, LDAP, OAuth, SAML)

• identify and classify products to Nielsen Audit items or not 
• Analyze and interpret product image to item description with attributes specific to client definition
• Deliver final good item coding specification with complete product item information 
• Review & Validate data errors and inconsistencies in value attribute code mapping
• Follow and fully owns the working process,  faster and bolder
• Interacts well with all accross teams in Operation and Commercial team
• Independently addressing internal client queries in regrads of product item specification 
• Drive time/cost-effectiveness on item product creation
• Inspire peers and co-workers
• Identify any opportunity of improvements in the process steps to aim best quality output

1. Working closely with strategic planners in providing needed data;
2. Maintaining, updating, and doing daily reports of sales performance and operation monitoring;
3. Creating queries in Google Bigquery; and
4. Adjusting and maintaining Zoho CRM to maintain sales performance and operation records.

DESKRIPSI PEKERJAAN

• Melakukan administrasi data;
• Menyiapkan rencana untuk arsitektur dan prosedur ETL (Extract/Transformation/Load);
• Memvalidasi hasil dari prosedur ETL;
• Memonitor dan melakukan tuning data dan queries;
• Melakukan proses pengumpulan dan Analisa data dari berbagai sumber;
• Memastikan kualitas data dengan melakukan validasi, pembersihan dan pemeliharaan rutin data yang digunakan dalam analisis;
• Belajar dan Mengembangkan Ketrampilan : menggunakan kesempatan untuk belajar dan mengembangkan ketrampilan analitis, teknis dan komunikasi.

If you are up for this challenges

• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex data sets
• Provide source-to-target mappings and information-model specification documents for data sets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data