30 Data Entry Roles jobs in Bahrain

Overview

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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

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.

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It Matter.
Mondelēz International empowers people to snack right in over 150 countries worldwide. We're leading the future of snacking with iconic global and local brands such as
Oreo, Cadbury, Philadelphia, Belvita, Ritz, and Toblerone.
Commencing a journey with Mondelez is much more than a new job; it's a long-term career opportunity where your existing experience will be leveraged, further developed, and then rewarded by a strong focus on internal mobility. This is a rare opportunity to develop and grow your master data career in a global business with iconic brands and amazing growth opportunities

You work with functions and business units to develop strategic roadmaps and to plan agreed-upon outcomes. In this role, you ensure that commitments are met and serve as the point of contact for Mondelēz International Business Services.

*How You Will Contribute *
You will offer your support on issues and challenges that arise in the processes used in the shared services team and with third-party suppliers. In addition, you will support internal and external continuous improvement initiatives and see business projects through to completion. You will also contribute to operational processes by ensuring that key performance indicators and performance management targets are met, sharing best practices, and supporting the super key user community.

*What You Will Bring
A desire to drive your future and accelerate your career. You will bring experience and knowledge in:
Qualifications & Experience: *

• Minimum of 3 years of experience in SAP Master Data Management, particularly within the Material, Product, BOM, Customer, and Pricing domains. Experience in an SAP consultancy firm or consultancy role is a plus.
• Strong understanding of SAP landscape, data architecture, and master data governance best practices.
• Knowledge of data governance frameworks, compliance, and regulatory requirements.
• Experience with SAP S/4 HANA is preferred but not mandatory.
• Excellent stakeholder management skills, with the ability to engage and collaborate with diverse business units.
• Ability to work effectively in an agile and dynamic environment, demonstrating initiative and adaptability.
• Strong analytical skills, with experience using data to drive business insights and decisions.
• Knowledge of data analysis tools such as SQL, Python, Tableau, Microsoft Power BI, or similar platforms is an advantage.
• DAMA certification or equivalent data management qualification is preferred.

Skills & Competencies:

• Strong communication and interpersonal skills, with a focus on attention to detail.
• Ability to lead and influence cross-functional teams.
• High degree of professionalism, integrity, and organizational skills.
• Ability to thrive in a collaborative, team-oriented environment while maintaining independence in decision-making.
• Proficiency in working with data-driven solutions and tools, e.g., Power BI

*Job Description *

• Lead and drive data management activities and governance initiatives for the Material, Product, BOM, Customer, and Pricing domains, ensuring data accuracy, consistency, and compliance with both internal and external standards.
• Serve as a liaison between business requestors and back-office teams for master data requests, ensuring high data quality, accuracy, and timely updates across all domains.
• Collaborate with key stakeholders across business units to understand data needs, requirements, and objectives, acting as the primary point of contact for business functions and data owners.
• Identify and implement process improvements to enhance data management efficiency and ensure seamless data integration across systems.
• Provide project support for global, regional, and local initiatives, working closely with back-office teams and facilitating end-user testing and training to ensure successful, on-time delivery of project deliverables.
• Develop and enforce data quality controls, addressing discrepancies and implementing corrective measures as needed.
• Leverage data-driven insights to support decision-making, offering recommendations based on thorough data analysis and trends.
• Adapt to evolving business needs in a fast-paced, agile environment, ensuring responsiveness and flexibility.
• Ensure data management practices adhere to all relevant regulatory and compliance requirements and take ownership of the related SOPs.
• Serve as Master Data SME for the relevant domain assigned and provide support and expertise as required to all the BUs within the MENAP cluster.
• Support and mentor fellow DMS Business Partners, promoting teamwork, collaboration, and knowledge sharing within the team.

No Relocation support available

*Business Unit Summary *
Mondelēz International in the Middle East, North Africa and Pakistan serves the Middle East and Africa markets as well as Australia, New Zealand, the UK and Canada. Headquartered in Dubai, UAE, we have more than 2600 employees working across seven plants and six commercial offices; we make, bake, sell and deliver our products to customers. We are market leaders in key snacking categories with iconic global and local brands including Cadbury Dairy Milk chocolate, Milka, Oreo and belVita biscuits, Barni Cakes,Tang powdered beverage, Chiclets and Trident gum and Halls candy.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type
Regular

Relationship Management

Global Business Services

Main Tasks:

1. Operate and maintain the On-Premises and co-located data center and related facilities.
2. Keep track of all Company Data Center facilities, assets, equipment, installations, access control systems, fire suppression systems, etc.
3. Implement and execute the necessary Data Center facility development, maintenance, support, and operation.
4. Continuously monitor Data Center facilities, power and cooling (HVAC), security access control, compute, storage, network and telecommunications equipment and services, system logs and alerts.
5. Carry on preventative and planned/unplanned maintenance activities of Data Center resources.
6. Coordinate all faulty hardware replacement, capacity expansion, server installation, decommissioning with internal technical teams, vendors, partners, and external customers.
7. Manage the installation of pre-integrated racks, individual servers and network appliances including stacking, wiring, cable managing and equipment labeling.
8. Ensure all necessary operational arrangements are in place to maintain and recover the Data Center facilities and services in the event of a disaster or major unplanned outage, as per approved Business Continuity Plan (BCP).
9. Work closely with approved service providers, maintain accurate Data Center configuration and operation documentation, update timely and accurately relevant documentation and diagrams.
10. 24 hours On-Call to provide urgent support especially on continuous operation that affects the company’s production.
11. Follow the internal General Data Center Guidelines.

Certification:

• Bachelor's degree in computer science or equivalent.
• Minimum three (3) years of hands-on experience in the same field.
• Mandatory requirement: Car plus driver license.

Interested candidates can email their CVs to .