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)

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

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

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

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.

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

• 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

• 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

Some of your duties will include:

·        Serve as the go-to expert for HRIS-related queries

·        Prepare ad-hoc reports as needed for management and other stakeholders; Collaborates with internal and / or external stakeholders to understand business and HR requirements and develops routine and ad-hoc reports and dashboards in line with these requirements.

·        Compiles, sorts, and organizes data in preparation for subsequent analysis HR Data to generate reports

·        Identifies and resolves any data quality issues by conducting both routine and ad-hoc data cleaning and testing

·        Uses a range of business intelligence and data analysis tools to provide analysis and reports within a comparatively structured reporting framework

·        Applies statistical and / or data visualization techniques

·        Prepares and presents interpretation of findings to internal and / or external clients.

·        Provide technical support and assist end users with SuccessFactors queries, such as forgotten passwords, leave requests, benefits approvals, etc.

·        Work closely with HR other functions (Payroll, Salary Benefit, Recruitment, IR) to ensure data employees are well maintained, especially during payroll preparation.

·        Maintain and update employee records, ensuring data accuracy and integrity

Some of your duties will include:

·        Monitor, control and coordinate related clinic operational related consumable and administration

·        Avoid delays in the review and approval of invoices submitted by contractors

·        Ensure that processes and reports reflect actual on-site conditions

·        Oversee all processes related to medical service administration

·        Facilitate smooth administration of billing and payments, ensuring reliable reports.

·        Collect, validate, process, and store billing data provided by contractors for services and purchases, including cashless transactions, back charges, Engro, purchases, contracts, access cardax, quotations, and others

·        Prepare and distribute weekly/monthly reports on invoices and billing

Qualification :

• Having experience minimum 3 years in Data Support & Inventory Control
• Prior experience in retail would be advantageous.
• Familiar with retail system / POS system
• Fast typing skills
• Have a good experience with spreadsheets (MS Office Word, Excel, etc.)
• Basic understanding of databases.
• Basic math skills.
• The ability to document accurately.
• Good command of English both oral and written.
• Great interpersonal and communication skills.
• Great attention to detail.
• Good time-management skills.
• Sense of ownership and pride in your performance and its impact on the company’s success.
• Team-working skills.
• Min. diploma or bachelor's degree or equivalent
• Placement Badung-Bali

Job Description:

• To find good resource of vendors when needed.
• Purchase new or additional stock, or prepare documents that provide for such purchases.
• Compile, review, and maintain data from purchase orders, requisitions, and other documents in order to assess supply needs.
• Ensure stock availability
• Manage cycle counts/ stocktake of product inventories on a regular basis
• Verify inventory computations by comparing them to physical counts of stock, and investigate discrepancies or adjust errors.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data

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

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 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.

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.