34 Excel 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.

• M.Sc. or Ph.D. in Geology, Geophysics, or a related field.
• Minimum of 6 years of experience in geological data analysis and interpretation.
• Proven expertise with geological modeling and data analysis software (e.g., ArcGIS, Petrel, Leapfrog).
• Strong background in statistical analysis and quantitative modeling.
• Experience with mineral exploration or resource estimation.
• Excellent report writing and presentation skills.
• Ability to work autonomously and manage multiple projects in a remote setting.
• Strong understanding of geological processes and rock types.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) is a plus.

• Assisting in the collection and organization of data from various sources.
• Performing data cleaning and preprocessing to ensure data quality and accuracy.
• Conducting exploratory data analysis to identify trends, patterns, and anomalies.
• Supporting the development and implementation of data models and algorithms.
• Generating reports and visualizations to communicate findings to stakeholders.
• Learning and applying statistical methods and data mining techniques.
• Collaborating with team members on data-related projects and initiatives.
• Assisting in the documentation of data processes and methodologies.
• Participating in training sessions and workshops to enhance technical skills.
• Contributing to the continuous improvement of data analysis processes and tools.
• Understanding business requirements and translating them into data analysis tasks.
• Shadowing senior analysts to gain practical insights into real-world data challenges.

• Assist senior data analysts in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis using tools such as Excel, SQL, and potentially introductory statistical software.
• Help in the creation of reports, dashboards, and visualizations to communicate data insights.
• Support the maintenance and update of databases and data repositories.
• Learn and apply data analysis methodologies and best practices.
• Collaborate with team members on assigned projects, participating in team meetings and contributing ideas.
• Assist in testing and validating data sets and analysis outputs.
• Identify trends and patterns in data under the guidance of experienced analysts.
• Document processes and methodologies used in data analysis tasks.
• Seek opportunities for learning and skill development through online courses and internal training.
• Follow company guidelines for data privacy and security.
• Contribute to a positive and collaborative remote team dynamic.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, or a related discipline.
• Strong foundational understanding of statistical concepts and data analysis principles.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Familiarity with database concepts and basic SQL querying is a plus.
• Eagerness to learn new tools and techniques in data analysis and visualization.
• Excellent attention to detail and accuracy.
• Strong analytical and problem-solving aptitude.
• Good written and verbal communication skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• A proactive attitude and a willingness to take on new challenges.
• Enthusiasm for a career in data analysis.
• Must have access to a reliable internet connection and a suitable home office environment for remote work.