8 Record Keeping jobs in Bahrain

Job Summary:

We are seeking an accurate and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for inputting and maintaining accurate data in the system, ensuring smooth operations in the supermarket. This role requires proficiency in both English and Arabic to ensure communication with diverse teams and customers.

Key Responsibilities:

• Data Entry & Updates: Accurately input and update inventory, sales, and customer data in the system.
• Invoice & Record Management: Record and verify purchase invoices and receipts; maintain accurate filing systems.
• Inventory Tracking: Assist with tracking stock levels and entering related data.
• Customer & Supplier Records: Maintain and update customer and supplier information.
• Document Filing: Prepare, organize, and file operational documents, both digitally and physically.
• Support & Communication: Communicate with teams to gather and verify data, providing support as needed.
• Confidentiality: Ensure sensitive data is kept secure and compliant with company policies.
• Quality Assurance: Regularly check data for accuracy and consistency.

Experience

Previous data entry, administrative, or office experience preferred, but not required. Freshers are welcome to apply

• Proficiency in English and Arabic (both spoken and written).
• Strong knowledge of Microsoft Office (Excel, Word) and Google Sheets; familiarity with inventory management systems is a plus.

Job Type: Full-time

• Enter, update, and maintain accurate data in company databases and systems.
• Verify data for accuracy and completeness from various sources.
• Identify and correct data entry errors and inconsistencies.
• Organize and manage electronic and physical files.
• Generate reports on data entry progress and provide summaries.
• Ensure confidentiality and security of sensitive data.
• Collaborate with team members to resolve data-related issues.
• Assist in data cleansing and validation projects.
• Follow established data entry procedures and guidelines.
• Maintain a high level of productivity and accuracy.
• Adapt to new data entry software and tools as needed.
• Contribute to the improvement of data management processes.

• High school diploma or equivalent.
• Proven experience as a Data Entry Clerk, Data Entry Specialist, or similar role.
• Exceptional typing speed and accuracy (e.g., 60+ WPM with high accuracy).
• Proficiency in Microsoft Office Suite, especially Excel and Word.
• Familiarity with database management systems.
• Strong attention to detail and organizational skills.
• Ability to work independently and manage time effectively in a remote setting.
• Good written and verbal communication skills.
• Discretion and ability to handle confidential information.
• Experience with specific data entry software is a plus.

Overview

We are currently seeking for passionate and dynamic guest focused Front Office professionals who pride themselves on their ability to deliver extraordinary levels of customer service and provide creative solutions to our guests.

• As a Front Office Data Entry Clerk you are responsible to forward passport information of hotel guests on the day of their arrival by email to the Police Department and your role will include key responsibilities such as:
• Forward passport information of hotel guests on the day of arrival by email to the Police Department
• Pick up passport copies at the designated area
• File all passport copies per day and hand it over to the concierge
• Work with computer and scanner to send all the necessary information
• Maintain an up to date knowledge of the hotel and services
• Prioritize and perform accordingly to ensure that data’s are handled immediately with speed and efficiency
• Maintain a systematic and organized filing system and regularly check, update and reorganize cabinets when required

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Support the development and implementation of predictive models and machine learning algorithms.
• Perform statistical analysis to identify trends, patterns, and correlations in data.
• Develop visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to understand data needs and project requirements.
• Contribute to the design and execution of A/B tests and other experiments.
• Learn and apply new data science techniques and tools.
• Assist in documenting data analysis processes, methodologies, and results.
• Participate in code reviews and contribute to the team's knowledge base.
• Stay updated on the latest advancements in data science and artificial intelligence.

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Exposure to SQL for database querying.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, essential for a remote team.
• Eagerness to learn and a passion for data.
• Prior internship or project experience in data science is a plus.

• Assist in the collection, cleaning, and processing of large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Create clear and concise reports and visualizations to communicate findings to stakeholders.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Develop and maintain data dictionaries and documentation.
• Support the development and implementation of data quality checks.
• Gain exposure to statistical modeling and predictive analytics techniques.
• Participate in team meetings and contribute to brainstorming sessions.
• Learn and apply best practices in data management and analysis.
• Proactively identify opportunities for process improvement within data handling.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in at least one data analysis tool or programming language (e.g., Python, R, SQL, Excel).
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Detail-oriented with a commitment to accuracy.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• A genuine passion for data and its potential to drive business value.
• Must be legally authorized to work remotely.

• Structured training program covering data analysis fundamentals, SQL, Excel, and data visualization tools (e.g., Tableau, Power BI).
• Mentorship from senior data analysts, providing guidance and support throughout the apprenticeship.
• Practical experience working on real-world data projects.
• Learning to clean, transform, and analyze large datasets to identify trends and patterns.
• Developing skills in creating compelling data visualizations and reports.
• Exposure to different analytical techniques and statistical concepts.
• Opportunities to collaborate with team members on data-driven initiatives in a remote setting.
• Development of critical thinking, problem-solving, and communication skills.
• Clear learning objectives and performance evaluations to track progress.
• Potential for conversion to a full-time Data Analyst role upon successful completion of the apprenticeship.
• Access to online learning resources and collaborative project management tools.
• Understanding of data governance and best practices.

• Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, Business, or a related quantitative field, or individuals with demonstrable analytical skills.
• Strong foundation in mathematical and statistical concepts.
• Excellent logical reasoning and problem-solving abilities.
• Detail-oriented with a commitment to accuracy.
• Proficiency in Microsoft Excel or Google Sheets is essential.
• Basic understanding of database concepts and SQL is a plus.
• Enthusiasm for learning data analysis tools and techniques.
• Good written and verbal communication skills, capable of explaining findings.
• Self-motivated and able to manage time effectively in a remote work environment.
• A proactive attitude towards learning and skill development.
• Ability to work collaboratively in a virtual team.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development of reports, dashboards, and visualizations using tools like Power BI or Tableau.
• Collaborate with senior analysts to interpret data and formulate actionable recommendations.
• Conduct market research and competitive analysis to inform business strategy.
• Participate in team meetings, contributing ideas and sharing findings.
• Learn and apply statistical methods and data modeling techniques.
• Maintain data integrity and documentation for all analytical processes.
• Engage in continuous learning to stay updated with the latest data analytics tools and methodologies.
• Contribute to ad-hoc data requests from various departments.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) for data manipulation and analysis.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Proactive and eager to learn new technologies and methodologies.
• Prior internship or project experience in data analysis is a plus, but not required.