Total 12 data entry clerk job vacancies in Jalan Penjernihan Ii - Pejompongan Jakarta Pusat

• Menginput Data
• Memasukkan informasi ke dalam sistem atau perangkat lunak sesuai dengan format yang ditentukan.
• Verifikasi dan Validasi Data
• Memastikan data yang dimasukkan akurat dan sesuai dengan sumber yang diberikan.
• Mengelola dan Menyimpan Data
• Menyusun dan menyimpan data dalam format yang mudah diakses dan aman.
• Penyusunan Laporan
• Membuat laporan atau ringkasan data berdasarkan informasi yang telah diinput.
• Pemeliharaan Data
• Memperbarui dan memastikan data tetap akurat serta relevan.
• Penggunaan Perangkat Lunak
• Mengoperasikan aplikasi seperti Excel atau perangkat lunak khusus untuk mengelola data.
• Komunikasi dengan Tim atau Klien
• Berkoordinasi dengan tim atau pihak lain terkait masalah data.

Do you believe that everyone deserves access to affordable, quality healthcare? Are you driven by creativity, bold ideas, and disruptive innovation? Are you inspired by exceptionally talented, diverse, impact-oriented colleagues? Do you thrive in a dynamic, high-growth, fast-paced environment? Then consider a job with ThinkWell.

ThinkWell is a growing, flexible health systems organization, with both global influence and local grounding. Our focus is on driving transformation in the global health space by always questioning and disrupting conventional wisdom about what works or what can or cannot be done. We believe in pragmatism over ideology and develop solutions tailored to a client’s context and political realities without replicating global models and all-purpose solutions. We know that to drive change, we must focus on how the world could be, rather than making excuses for the status quo.

ThinkWell will develop a sustainability assessment and transition plan for The Global Fund’s HIV, TB, and Malaria (HTM) portfolio in Indonesia, considering the context of Indonesia’s decentralized health system and Health Law No. 17/2023. This law mandates that health budgeting directly links to performance outcomes rather than proportional funding, fundamentally changing resource allocation with a stronger emphasis on efficiency, accountability, and concrete health outcomes. Through a review of relevant documents, key informant interviews, and secondary data analysis and modeling, we will create a status quo baseline of current investments and transition opportunities, addressing how Indonesia can take full financial and operational responsibility for its HTM programs within its increasingly decentralized health system. The plan will consider various funding scenarios, the country needs, and context and TGF Replenishment cycles through 2030. In this context, Thinkwell will hire a data analyst to support our Health Financing Specialist for this project. The analyst will play a crucial role in supporting the development of sustainability and transition scenarios for Indonesia's HIV, TB, and Malaria programs. This work involves analyzing complex health financing data across Indonesia's decentralized health system, tracking program expenditures and outcomes, and supporting the modeling of various funding scenarios through 2030. This is a full-time position based in Jakarta, Indonesia, for the period of January to 31 May 2025.

RESPONSIBILITIES

1. Undertaking data management (data collection, converting, coding, merging, data cleaning, etc.) from various national sources (e.g. BPS, MoH, MoF, and other ministries/ institutions)

2. Assisting the Health Financing Specialist in analysing data from multiple health information systems (e.g. NHA, IDHS, SUSENAS, SAKERNAS, and BPJS-K sample claims).

3. Conducting statistical analysis with provided dataset to produce high-quality, evidence-based findings and recommendations. Support the analysis of financing flows and fund tracking across different government levels (central, provincial, district) for HTM programs.

4. Assist in developing and analyzing funding scenarios for a potential transition of the HTM program from donor to government funds. Support the analysis of JKN claims data related to HTM services and the potential for their integration into the national health insurance scheme. Analyze absorption capacity for HTM programs across different administrative levels.

5. Actively participate in team meetings and contribute pertinent information, ideas, and suggestions related to project commitments.

6. Collaborating with other TGF and ThinkWell key stakeholders for good delivery dissemination data analysis.

7. Working closely with other ThinkWell, TGF staff, or other key stakeholders.

DELIVERABLES

1. Clean and well-structured dataset covering key service coverage and delivery indicators for HTM programs, formatted for use in statistical software (STATA or R)

2. Clear messaging and dissemination of the results of the analyses

JOB LOCATION: This position is based in the Jakarta ThinkWell Office, Indonesia (Indonesian Nationals Only).

TIMELINE: The position will start in January 2025 and be completed in May 2025.

REPORTING LINES AND TEAMWORK

· Health Finance Specialist

· A minimum bachelor’s degree in biostatistics, econometrics, or a related quantitative field.

· 3+ years of professional experience advance statistical analysis, preferably in the public health sector.

· Excellent analytical and research skills; ability to compile and summarize background information and review literature as needed.

· Proven experience with multivariate analysis.

· Excellent computer skills, including familiarity and experience working with STATA, Microsoft Word, Excel, and PowerPoint.

· Ability to work with large databases, including national, sub-national, and household data.

· Strong interpersonal skills and cultural sensitivity, to effectively communicate with government officials, development partners, other staffs, and stakeholders.

· Ability to effectively work remotely: be proactive, flexible, conscientiousness, and responsive.

· Tech savvy and skilled at visual display of data;

· Good verbal and written communications skills in English and Indonesian

· Outstanding written and verbal communication skills, including the ability to relate respectfully with staff at all levels, ages, genders, nationalities and orientations as well as across work areas;

· Ability and willingness to travel up to 25% (local and/or international).

Medical insurance, National Scheme (BPJSK, BPJSTK, BPJSP), PTO, Communication allowance, and Professional Development

Amartha is embarking on an exciting new journey and seeks passionate data scientists to shape the next wave of data-driven innovation. The goal is to ensure Amartha leverages data insights to leapfrog into the next phase of its impactful journey.

As a data scientist in Amartha, you will use your expertise in statistics and data analysis to support and optimize our current business process. You will have the opportunity to use state of the art big data tools and methods to process the large amount of data that we have collected. In this role, you will work closely with other data scientists, data engineers and business users to develop various data products and deliver real business values. Finally, you will have the chance to experience rapid personal growth while working in a fast paced and dynamic startup environment.

Responsibilities

• Provide ad hoc data request for business stakeholders
• Design and develop dashboards to monitor critical business metrics
• Work with data engineers to develop analytical data pipelines to generate data marts to help with data driven decision making
• Work with business users and tech team to design and develop technical solutions from business problems
• Create in-depth analysis reports from diverse business questions and present them to business stakeholders using efficient data storytelling techniques
• Explore new data science techniques to continuously improve the business process in Amartha

• A Bachelor’s / Master's degree in engineering or quantitative fields
• Having at least 5 years of experience in relevant field
• Experienced in extracting data from databases using SQL queries
• Experienced in creating scripts for data analysis using Python or R
• Experienced in statistical modeling is a plus
• Experienced in presenting data insights using effective data visualizations
• Ability to simplify and clearly communicate complex concepts to non technical persons
• Strong problem solving skills.
• Strong resolve on facing uncertainties and new challenges
• Ability to think clearly under pressure
• Having a growth mindset

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

We are seeking a detail-oriented and proactive Equity Market Data to join our team. In this role, you will be responsible for managing and maintaining critical financial and market data, ensuring its accuracy and relevance. As an Equity Market Data, you will be responsible for:

• Daily Maintenance:
• Maintain financial report data of issuers.
• Maintain USD-IDR exchange rate data.
• Update and maintain news related to announcements published by IDX.
• Weekly Updates:
• Update and maintain analyst ratings data every Monday.
• Update and maintain Stockbit analyst consensus data every Monday.
• Monthly Updates:
• Update and maintain issuers' holding compositions.
• Update and maintain issuers' shareholders data from announcements published by IDX.
• Quarterly Updates:
• Update financial report data of issuers.
• Update USD-IDR exchange rate data.
• Corporate Action Adjustments:
• Ensure financial data in key stats and issuer screener is accurately adjusted following corporate actions.
• Update and maintain issuer insider data, ensuring it reflects corporate actions.
• General Maintenance:
• Update and maintain schedules and data for corporate actions.
• Input tickers for newly listed issuer.
• Update issuer profiles, ensuring data accuracy and relevancy.
• Stream Data Management:
• Ensure all IDX-listed issuers’ data is included in the “Reports” stream on Stockbit daily.
• Maintain all data related to issuers in the “Reports” stream on Stockbit daily.

• Bachelor’s degree in Finance, Economics, or a related field.
• Strong understanding of financial markets and corporate actions.
• Excellent quantitative and qualitative analytical skills.
• Ability to analyze financial reports and interpret fundamental company analysis data.
• Proficiency in data management and reporting tools.
• Meticulous attention to detail and strong organizational skills.
• Ability to work under tight deadlines and manage multiple priorities.
• Experience in market data platforms or similar roles is a plus.

• Supportive teammates
• Private insurance benefits
• Self development activities that support careers
• Hybrid working arrangement

The SAP Master Data and Quality Assurance Specialist is responsible for the management and integrity of master data within the SAP environment, including controlling Master Data Requests to ensure that data entries are not duplicated and meet completeness standards. This role involves standardizing master data naming conventions according to established standards and providing low-level support for simple issues, such as re-uploading Merchant Statement Report(MSR) and checking Account Statement data. Additionally, the specialist will update the AI Ayana Hospitality data, including user manuals, and strive to learn new aspects of daily SAP operations, such as understanding SAP and SAP Fiori Authorization. This role also includes maintaining a list of transactions for the Cash Journal, learning the Purchasing Flow to assist with operational issues, and providing training on new features to users to enhance their knowledge of SAP.

Key Responsibilities:

·       Master Data Management:

o   Oversee the creation, maintenance, and governance of master data (e.g., customer, vendor, material, and financial data) within the SAP system.

o   Develop and enforce data quality standards and data governance policies to ensure consistent and accurate master data.

o   Collaborate with business units to gather requirements and document data definitions, structures, and relationships.

·       Quality Assurance:

o   Establish and implement quality assurance processes to monitor data integrity across the SAP system and related applications.

o   Conduct regular data quality audits and assessments to identify and resolve data discrepancies or issues.

·       Process Improvement:

o   Identify opportunities for continuous improvement in master data management processes, tools, and techniques.

o   Work with IT and business teams to streamline data entry, data migration, and data cleansing activities.

o   Lead projects focused on data migration, transformation, and integration within SAP and other systems.

·       Documentation:

o   Maintain comprehensive documentation of master data processes, data quality standards, workflows, and data governance policies.

o   Ensure that all procedures are well documented and accessible for training and reference.

·       Training and Support:

o   Provide training and guidance to end-users on master data processes, tools, and best practices.

o   Act as a key point of contact for master data inquiries and provide low-level support in resolving data-related issues.

o   Collaborate with IT support teams to troubleshoot and resolve system issues related to master data.

·       Compliance and Documentation:

o   Ensure compliance with regulatory requirements and internal policies related to data management and quality.

o   Document data management procedures, workflows, and data lineage to maintain a clear understanding of data flow and usage.

o   Stay updated on industry standards and trends related to master data management and quality assurance

·        Bachelor's degree in Information Technology, Business administration or a related field

·        Proven experience as ERP user, preferably SAP. Strong understanding of Data Management principal and workflow.

·        Excellent analytical, problem solving and communication skills. 

·        Strong organizational skills and the ability to manage multiple priorities and projects effectively.

·        Minimum of 2 years experience as ERP user, preferably SAP

Kualifikasi :

1. Pria / Wanita

2. Menguasai SQL

3. Menguasai Phyton

4. Mahir Microsoft Excel

5. Tablue

Ketentuan :

1. Jujur dan bertanggung jawab Dapat bekerja dengan tim
2. Berpengalaman di bidang yang di butuhkan
3. Min S1 Sistem Informasi / TI / Engineer / MIPA

1. Analyze and organize raw data.

2. Build data systems and pipelines.

3. Create and maintain optimal data pipeline architecture.

4. Interpret trends and patterns.

5. Conduct complex data analysis and report on results.

6. Prepare data for prescriptive and predictive modeling.

7. Build algorithms and prototypes.

8. Combine raw information from different sources.

9. Develop analytical tools and programs.

10. Collaborate with data scientists and architects on several projects.

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.