262 Sales Administrator 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.

• 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.

Customer Service Responsibilities list:

Manage large amounts of incoming phone calls

Generate sales leads

Identify and assess customers' needs to achieve satisfaction

Build sustainable relationships and trust with customer accounts through open and interactive communication

Provide accurate, valid and complete information by using the right methods/tools

Meet personal/customer service team sales targets and call handling quotas

Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution

Keep records of customer interactions, process customer accounts and file documents

Follow communication procedures, guidelines and policies

Requirements and skills

Proven customer support experience or experience as a Client Service Representative

Track record of over-achieving quota

Strong phone contact handling skills and active listening

Familiarity with CRM systems and practices

Customer orientation and ability to adapt/respond to different types of characters

Excellent communication and presentation skills

Ability to multi-task, prioritize, and manage time effectively

High school diploma

Job Type: Full-time

Pay: BD2, BD2, per month

Application Question(s):

• ARE YOU READY TO RELOCATE AND WORK IN BAHRAIN?

Education:

• Bachelor's (Required)

Experience:

• total work: 2 years (Required)
• Customer service: 1 year (Required)

Language:

• English (Required)
• Bangla (Required)

Overview

Provide support to Total CX customers by effectively handling and resolving customer inquiries or complaints and ensuring customer satisfaction at the core of every decision and behaviour.

• Attend queries, requests or complaints related to Mobile/Fixed/ Inet/ Directory Query/ Telegram received through the various contact center channels
• Understand and investigate the queries, requests or complaints
• Liaise with relevant internal team/ departments to address customer query or complaint or forward the case to other relevant team/ department
• Provide accurate, valid and complete information or solution by using the right sources of information
• Make outbound campaign calls to the customers providing information about new products, offers, services etc. Take appropriate action to address customer requests, queries or complaints on outbound calls
• Inform Team Leader when a recurrent problem appears, to prevent further cases
• Maintain and update customer information in the database
• Meticulously follow the defined business process while attending to the clients’ queries, requests or complaints
• Follow communication scripts and protocols and ensure adherence to quality standards and guidelines
• Keep abreast of products and promotions to provide exceptional customer support
• Take ownership for attending the trainings as per the plan
• Take ownership for completing PMR process, employee engagement surveys in time
• Continuously share the knowledge and understanding of the telecom industry and business trends