18 Administration jobs in Bekasi

Job Purpose:

Responsible for handling administrative tasks related to the recruitment process, from job postings to onboarding documentation.

Job Description:

1. Prepare and post job vacancies.
2. Assist in filtering CVs and managing candidate applications.
3. Schedule interviews, tests (offline/online), and medical check-ups.
4. Contact and schedule shortlisted candidates, and provide weekly reports.
5. Handle candidate documents and ensure proper printing and filing.
6. Schedule offline or online tests, prepare test materials, and check the tes results.
7. Liaise with General Affairs, Receptionist, and Office Support regarding candidate information, room arrangements, cleanliness, and meal provision.
8. Schedule, receive, and check medical check-up results.
9. Manage invoice payments, including job postings, psychological tests, medical check-ups, and related reporting.
10. Maintain recruitment tools, office supplies, and mobile phone credit usage.
11. Submit stamp requests, monitor stamp usage, and prepare related reports.
12. Prepare employment contracts, track document flow, and submit weekly or monthly reports.
13. Input data and reports into internal systems related to recruitment tasks.
14. Scan signed employment contracts and upload them to Google Drive for Accounting and Finance Department needed.
15. Receive all incoming mail related to recruitment and check it according to the SOP.

Requirement:

1. Bachelor's Degree in Industrial Engineering, Administrative Management, Office Administration, or HR Management (min. GPA 3.00).
2. Minimum 5 years of experience in a similar recruitment admin role (in the same company is a must).
3. Proficient in Excel (intermediate), PowerPoint, Canva; knowledge of Photoshop/Corel Draw is a plus.
4. Detail-oriented, proactive, organized, and enjoys administrative tasks.
5. Able to work under pressure, with overtime, and meet tight deadlines.
6. Only short listed candidates will be notified.
7. Working Hour: Non-Shift, Monday-Friday (8AM - 5PM).
8. Willing to undergo the full recruitment process and be placed in Cakung, East Jakarta.

• Accurately enter alphabetic, numeric, and symbolic data from source documents into computer files and databases.
• Compile, sort, and verify data for accuracy, completeness, and discrepancies.
• Review data for errors or deficiencies and correct any mistakes.
• Maintain and update customer records, financial information, or other company data.
• Generate basic reports from entered data as required.
• Handle confidential information with discretion and ensure data security.
• Communicate effectively with team members and supervisors regarding data entry tasks and issues.
• Adhere to strict deadlines and productivity standards.
• Operate standard office equipment and utilize database software.

• High school diploma or equivalent; Associate's degree preferred.
• Proven data entry experience or similar administrative experience.
• Exceptional typing speed and accuracy.
• Proficiency in Microsoft Excel, Google Sheets, and general computer literacy.
• Familiarity with database systems and data management principles.
• Strong attention to detail and organizational skills.
• Ability to work independently and manage time effectively in a remote setting.
• Excellent written and verbal communication skills.
• Reliable internet connection and a suitable home office setup.

• Accurately enter data from various sources into databases and systems.
• Verify data for errors, inconsistencies, or missing information.
• Correct and update data as required to ensure accuracy and completeness.
• Organize and manage digital files and records.
• Maintain the confidentiality and security of sensitive data.
• Follow established data entry procedures and guidelines.
• Review completed work for accuracy before submission.
• Meet established productivity and quality standards.
• Identify and report any recurring data issues or system problems.
• Assist with data cleanup and validation projects as needed.
• Communicate effectively with supervisors regarding task status and any challenges.
• Ensure timely completion of data entry tasks.

• Proven experience as a Data Entry Specialist or in a similar role.
• Exceptional typing speed and accuracy.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook) or Google Workspace.
• Familiarity with database management principles.
• Strong attention to detail and commitment to accuracy.
• Excellent organizational and time management skills.
• Ability to work independently and efficiently in a remote setting.
• Good communication skills.
• High school diploma or equivalent; further education or certifications are a plus.

• Assist in collecting data from various sources, ensuring accuracy and completeness.
• Perform data cleaning and preprocessing to prepare datasets for analysis.
• Conduct exploratory data analysis to identify significant trends and patterns.
• Generate reports and dashboards to communicate findings to the team.
• Support senior analysts in developing predictive models and statistical analyses.
• Collaborate with different departments to understand their data needs and provide relevant insights.
• Learn and apply various data analysis tools and techniques.
• Maintain data integrity and ensure compliance with data privacy regulations.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets).
• Enthusiasm for learning new technologies and analytical methods.
• Strong attention to detail and a methodical approach to problem-solving.
• Good communication skills, both written and verbal, to effectively present findings.
• Ability to work collaboratively in a team environment.
• Previous internship or project experience in data analysis is a plus.

• Assist in gathering and organizing data from various sources.
• Perform data cleaning and preprocessing to ensure accuracy and consistency.
• Conduct exploratory data analysis to identify trends and patterns.
• Generate basic reports and visualizations to communicate findings.
• Support senior team members in ongoing data analysis projects.
• Learn and apply fundamental data analysis techniques and tools.
• Contribute to documentation of data sources and analysis procedures.
• Participate in team meetings and contribute to discussions.
• Develop an understanding of the business context for the data being analyzed.
• Seek feedback and opportunities for professional development within the data analytics field.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Foundational knowledge of data analysis concepts and methodologies.
• Familiarity with spreadsheet software (e.g., Microsoft Excel, Google Sheets) for data manipulation and analysis.
• Basic understanding of database concepts and SQL is a plus.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and critical thinking skills.
• Excellent attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform initial data analysis to identify patterns and trends.
• Create clear and concise data visualizations and reports.
• Support senior analysts in developing dashboards and insights.
• Collaborate with team members on data-related projects.
• Learn and apply new data analysis tools and methodologies.
• Contribute to data quality assurance efforts.
• Document data analysis processes and findings.
• Present preliminary findings to the data analytics team.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with at least one data analysis tool (e.g., Excel, SQL, Python libraries like Pandas).
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Effective written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt in a fast-paced environment.