Total 89 data entry clerk job vacancies in Information Technology category in 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

Persyaratan:

Laki-laki dan Perempuan

Usia Min 18 Tahun

Tamatan SMA sederajat

Bertanggung jawab

Terbiasa kerja secara Online

Good Attitude

Bisa bekerja berbasis Online

Berkomunikasi dengan baik

Kondisi Kerja:

Jam kerja Fleksibel

Bonus tidak terbatas

Bisa kerja dimana pun dan kapan pun

di jamin Aman dan amanah

Cocok untuk mahasiswa, pekerja tetap, maupun yang belum bekerja

Tidak mengganggu pekerjaan lainya

Kewajiban:

Pengelolaan Produk

Pelayanan Pelanggan

Proses Transaksi

Promosi dan Pemasaran

Analisis Penjualan

Pengelolaan Inventaris

Pembukuan dan Keuangan

Pengelolaan Media Sosial

1. Melakukan pencatatan pada logbook
2. Melakukan pengecekan, penyegelan dan pecatatan terhadap kontainer kosong.
3. Input dan tarik data dari sistem custom

- 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

Sebagai Data Entry Clerk for E-commerce di MAX FASHIONS, Anda akan bertanggung jawab untuk menginput, mengelola, serta memperbarui data produk di platform e-commerce kami. Tugas utama mencakup memastikan keakuratan dan kelengkapan informasi terkait produk, termasuk harga, stok, dan deskripsi yang selalu up-to-date. Anda juga akan bekerja sama dengan tim lain untuk memastikan semua data yang diunggah sesuai dengan standar dan prosedur yang telah ditetapkan perusahaan.

Posisi ini membutuhkan ketelitian tinggi dan kemampuan dalam mengelola data secara sistematis untuk mendukung kelancaran operasional e-commerce kami.

Data analyst adalah profesi pekerjaan yang tugasnya untuk membaca serta menganalisis data yang ada dari perusahaan dalam rangka keberlangsungan perusahaan tersebut. Di era digitalisasi seperti sekarang profesi terkait pengolahan data sangat menjamur dan dibutuhkan oleh perusahaan-perusahaan.

Mencari Data Base yang Relevan melalui Aplikasi yg akan diberikan perusahaan yang akan membatu jobdesk Manager Marketing pada perusahaan, belajar untuk mempromosikan produk jasa perusahaan kepada Klien.

Sebagai Data Entry Clerk for E-commerce di PT MAX FASHION GROUP, Anda akan bertanggung jawab untuk memasukkan, mengelola, dan memperbarui data produk di platform e-commerce kami. Tugas utama Anda mencakup memastikan bahwa informasi produk, harga, stok, dan deskripsi selalu akurat dan terbaru. Selain itu, Anda juga akan bekerja sama dengan tim lain untuk memastikan semua data yang diunggah sesuai dengan standar dan prosedur perusahaan.

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

Tugas dan Tanggung Jawab:

1. Pengumpulan dan Pemrosesan Data:

• Mengumpulkan data dari berbagai sumber seperti database perusahaan, website, survei, atau sistem pelacakan bisnis.
• Mengatur, membersihkan, dan memproses data mentah untuk memastikan akurasi dan konsistensinya.

1. Analisis Data:

• Menganalisis data menggunakan alat statistik dan software analitik untuk mengidentifikasi tren, pola, dan hubungan.
• Menggunakan metode kuantitatif untuk mengevaluasi performa bisnis atau kinerja produk.

1. Pembuatan Laporan dan Visualisasi Data:

• Membuat laporan berkala yang berisi temuan dari data analisis.
• Menggunakan alat visualisasi data seperti Tableau, Power BI, atau Excel untuk menyajikan data dalam bentuk yang mudah dipahami oleh manajemen dan tim lain.

1. Memberikan Wawasan untuk Pengambilan Keputusan:

• Menginterpretasikan data untuk memberikan wawasan yang dapat membantu perusahaan dalam pengambilan keputusan strategis.
• Memberikan rekomendasi berbasis data yang mendukung efisiensi operasional, pemasaran, pengembangan produk, atau strategi penjualan.

1. Pemantauan KPI dan Kinerja:

• Memantau Key Performance Indicators (KPI) perusahaan dan memberikan analisis performa secara berkala.
• Mengidentifikasi area-area yang memerlukan peningkatan berdasarkan hasil analisis KPI.

1. Kolaborasi dengan Tim Lintas Divisi:

• Bekerja sama dengan tim bisnis, pemasaran, produk, dan manajemen untuk memahami kebutuhan data dan menyusun analisis yang relevan.
• Menyampaikan hasil analisis data kepada tim non-teknis dalam bahasa yang mudah dipahami.

1. Automasi Proses Data:

• Mengotomatisasi proses pengumpulan dan pemrosesan data menggunakan alat atau bahasa pemrograman seperti SQL, Python, atau R.
• Membangun dashboard atau sistem laporan otomatis yang dapat diakses oleh tim lain untuk pemantauan data secara real-time.

1. Penelitian Pasar dan Analisis Kompetitif:

• Menganalisis data pasar dan pesaing untuk mengidentifikasi tren industri dan peluang bisnis baru.
• Menyediakan analisis benchmarking yang membandingkan kinerja perusahaan dengan kompetitor.

1. Pemecahan Masalah Berbasis Data:

• Menyediakan solusi berbasis data untuk masalah operasional, pemasaran, atau produk.
• Mengembangkan model prediksi untuk memperkirakan hasil masa depan berdasarkan data historis.

1. Analisis Pelanggan dan Perilaku Konsumen:

• Menganalisis data perilaku pelanggan untuk memahami preferensi, kebutuhan, dan pola pembelian.
• Memberikan wawasan yang dapat membantu tim pemasaran dan pengembangan produk dalam menargetkan pelanggan dengan lebih efektif.

1. Menyiapkan dan Menyortir Dokumen.
2. Menginput Data ke Database.
3. Memverifikasi Data.
4. Menangani Perbedaan Informasi.
5. Membuat Backup Data.
6. 6. Menanggapi Permintaan Informasi.
7. 7. Menguji Sistem Database Baru dan Pembaruan dari Perangkat Lunak.
8. Mengelola Dokumen dan Catatan dengan Baik.

• 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

Sebagai Staf Verifikasi Data di Kartu Prakerja yang akan dikontrak selama 4 bulan (Project based), Anda akan bertanggung jawab untuk memverifikasi keakuratan dan kevalidan data yang terkait dengan program Kartu Prakerja. Anda akan bekerja sama dengan tim verifikasi data lainnya untuk memastikan bahwa data yang diinput adalah akurat dan lengkap.

Tugas dan Tanggung Jawab:

• Memverifikasi data yang diinput ke dalam sistem.
• Mengidentifikasi dan memperbaiki kesalahan data.
• Menyampaikan laporan terkait dengan hasil verifikasi data.
• Bekerja dengan tim verifikasi data lainnya untuk memastikan keakuratan dan kevalidan data.
• Memberikan dukungan dalam pemrosesan data yang berkaitan dengan program Prakerja.
• Mengikuti kebijakan dan prosedur verifikasi data yang ditetapkan.

• Pendidikan minimal S1
• Teliti dan memiliki kemampuan analisis yang baik.
• Mampu bekerja dengan deadline yang ketat.
• Mahir menggunakan Microsoft Excel atau aplikasi spreadsheet lainnya.
• Mampu bekerja secara mandiri maupun dalam tim.
• Berpengalaman dalam bidang verifikasi data merupakan nilai tambah.
• Berpengalaman dalam bidang administrasi dan pengolahan data diinginkan.

• Working with the biggest Innovation Public Services in Indonesia

We are looking for an Analytics Manager to organize our analytics function and manage our team of analysts. You will implement tools and strategies to translate raw data into valuable business insights. In this role, we expect you to have strong logical reasoning skills and business intelligence. The ability to communicate effectively is essential. If you also have solid industry experience, we’d like to meet you. Your goal will be to help our business use data to drive high performance and quality.

• Provide direction for a team of data analysts
• Take the lead on developing process for effective data analyst and reporting
• Develop and monitor project plans, track and follow up on risks, accurately report progress agains milestones to keep project/initiatives on schedule
• Proactively anticipate ssues and provide a perspective to leaders/teams for how to deliver practical solutions to business unit leaders

• Bachelor's Degree in Statistics/Mathematics/Computer Science or another quantitative field
• Min. 5 years experience in Data field is a must
• Data analyst Skills are essential
• High comfort level working in a fast - paced, result-oriented culture
• Able to manage competing, high priority demands; prioritizing workload, managing projects and multiple responsibilities agains strict deadlines

Working with the biggest Innovation Public Services in Indonesia

Working on the product used by 100 Millions of people in Indonesia from 514 city and district

For more about our output, outcome, and impact of Kartu Prakerja here

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

As a Senior Data Analyst (Risk), you will be at the intersection of our Business and Data in Funding Societies, working primarily with our Risk and Credit teams.

We are looking for a candidate with a strong sense of ownership, a deep appreciation of data and fundamental understanding of end-to-end analytics functions. As long as you are adding value to the business, you are your own boss. The way we work doesn’t suit everyone. But if you are humble, love autonomy and enjoy life changing professional challenges, we could be perfect for each other.

What you will do:

• Collaborate with cross-functional and cross-regional stakeholders to understand business drivers, formulate and complete end-to-end analytics solution.
• Design, develop and maintain self-service reports, dashboards and analysis on interactive BI tools for easier data visualization
• Contribute in collection, processing and modelling of financial data using SQL from complex databases to integrate into data warehouse that can be used for reporting/analysis and to give recommendations and drive decision making
• Deliver effective presentations of findings and recommendations to different audiences, creating visual displays of quantitative information that drives financial decisions in the business
• Find innovative and creative ways to obtain and drill insights from new financial data

What we are looking for:

• Minimum 3 years experience in credit risk / risk management / data analytics.
• Passionate in analysing and interpreting data patterns to drive business decisions, understanding Data Warehousing and ETL would be a plus!
• Highly proficient in SQL / Python and business intelligence tools (e.g. Tableau, Sisense, PowerBI).
• Excellent communication, project management, and stakeholder management skills in order to collaborate confidently with decision makers across different regions and departments.
• CFA / FRM / Chartered Banker would be an added advantage.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

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

• 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
• 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

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

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