24 Data Specialist jobs in Bahrain

• Inputting alphabetic and numeric data into specified systems and databases.
• Transcribing information from source documents into digital formats.
• Verifying data for accuracy and completeness.
• Correcting and amending data as required.
• Performing regular data quality checks and audits.
• Organizing and maintaining electronic data files.
• Ensuring compliance with data confidentiality and security policies.
• Assisting with data cleansing projects as needed.
• Generating reports on data entry progress and accuracy.
• Maintaining a high level of productivity and accuracy.

• High school diploma or equivalent.
• Proven experience in data entry or a similar administrative role.
• Exceptional typing speed and accuracy.
• Proficiency in Microsoft Office Suite, especially Excel or Google Sheets.
• Strong attention to detail and accuracy.
• Ability to work independently and manage time effectively.
• Excellent organizational skills.
• Understanding of data confidentiality and privacy.
• Reliable internet connection and a suitable remote work environment.
• Basic knowledge of database management is a plus.

• Collect, clean, and analyze HR data from various sources.
• Develop and maintain HR dashboards and reports using BI tools.
• Identify trends and provide insights on workforce demographics, engagement, and performance.
• Support HR initiatives with data-driven analysis and recommendations.
• Ensure data accuracy and integrity within HR systems.
• Conduct ad-hoc analyses to answer specific business questions.
• Collaborate with HR stakeholders to understand data requirements.
• Stay updated on HR analytics best practices and technologies.

• Accurately input, update, and maintain large volumes of data into various databases and systems.
• Perform data verification and validation to ensure accuracy, completeness, and consistency.
• Identify and rectify data discrepancies and errors promptly.
• Generate regular reports on data entry progress and accuracy rates.
• Collaborate with team members to ensure data integrity across all platforms.
• Develop and implement data entry procedures and quality control measures.
• Maintain confidentiality of sensitive information.
• Assist in the training and mentoring of junior data entry personnel.
• Troubleshoot data-related issues and provide solutions.
• Contribute to the continuous improvement of data management processes.

• High school diploma or equivalent; further education or certification in data management is a plus.
• Minimum of 5 years of experience in data entry or a similar role.
• Proven experience with large-scale data management and database systems.
• Exceptional typing speed and accuracy.
• Proficiency in Microsoft Office Suite, especially Excel, and experience with various data entry software.
• Strong understanding of data privacy and security principles.
• Excellent organizational and time management skills, with the ability to work independently and meet deadlines.
• High level of attention to detail and accuracy.
• Effective communication skills for remote collaboration.
• Ability to adapt to new software and technologies quickly.

Job purpose

• Overseeing information security, cybersecurity and IT risk management programs based on industry-accepted information security and risk management frameworks.
• Responsible for the organization's data privacy and protection function to ensure compliance with various regulations and best practices.

2. Primary Duties Performed

• Develop and maintain the cybersecurity Risk Management Framework of the organization for addressing the overall approach for handling cybersecurity risks and managing them in a methodological manner.

• Evaluate employees' information security awareness and provide the necessary training whenever is needed.

• Conduct frequent reviews on Vulnerability Assessment and Penetration Testing (VAPT) and manage vulnerabilities.

• Define the necessary controls to ensure all regulatory requirements related to cybersecurity are met, designed effectively with clear documentation.

• Identify the critical assets of the organization and ensure implementation of risk identification and management strategies for these critical assets.
• To assess technology projects to ensure that cybersecurity is adequately addressed.
• Responsible to identifying and managing cybersecurity risk for all third-party technology engagements and all cloud computing engagements.
• Evaluates and recommends cybersecurity technologies and solutions.
• Review cybersecurity & Risk Management manual and recommend necessary updates.
• Act as Data Protection Officer to identify and evaluate the Company's data processing activities.
• Monitor data management procedures and compliance within the Company.
• Assess Company compliance with Data Protection Private Law.
• Provide advice and arrange training to employees on Data Protection.
• Review and recommend updates on Data Protection Manual.
• Serve as the point of contact between the company and the data protection authorities.
• Performs other related duties assigned by the department head.

3. Secondary Duties Performed

• Assist in implementing risk management framework, policies and programs covering business, financial, operational, technological, and regulatory risks.
• Assist in the development and management of controls and business contingency plans.
• Maintain and update organizational risk register.
• Oversee the regular validation and testing of the Company Business Continuity Plan.
• Review Risk Management manual and recommend necessary updates.

4. Work & Business Contacts

Internal

• Management team and staff.

External

• Regulatory Bodies: Central Bank of Bahrain and Personal Data Protection Authority.
• Law Firms and Legal Advisors.
• Internal and External Auditors.
• VAPT vendors.

Division / Department: Risk Management

Incumbent Reports to: Manager – Risk & Project Management

• Assist in the collection, cleaning, and preparation of large datasets for analysis.
• Perform data analysis using statistical methods and data mining techniques.
• Develop visualizations and dashboards to present data insights effectively.
• Support senior analysts in identifying trends, patterns, and anomalies within data.
• Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
• Collaborate with cross-functional teams to understand data requirements and deliver insights.
• Contribute to the development of data models and algorithms.
• Document data analysis processes and findings.
• Participate in team meetings and knowledge-sharing sessions.
• Assist in generating reports and presentations for stakeholders.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and basic understanding of databases.
• Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Strong attention to detail and accuracy.
• A keen interest in data analysis and its application in business.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform basic statistical analysis and data mining to identify trends and patterns.
• Support senior analysts in developing reports and presentations based on data findings.
• Learn and apply various data visualization techniques to present data effectively.
• Contribute to data quality checks and ensure the accuracy of information.
• Participate in team meetings and provide input on data-related projects.
• Develop proficiency in data analysis software and tools.
• Understand business requirements and translate them into data analysis tasks.
• Conduct research on industry trends and best practices in data analysis.
• Adhere to data privacy and security protocols.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
• Knowledge of any programming language for data analysis (e.g., Python, R, SQL) is a plus.
• Good written and verbal communication skills.
• Eagerness to learn and a proactive attitude towards new challenges.
• Ability to work effectively in a team and follow instructions accurately.
• Strong attention to detail and organizational skills.
• Enthusiasm for a career in data analysis and insights.

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Develop and implement statistical models to analyze data.
• Create data visualizations and dashboards to present findings effectively.
• Support senior analysts in ad-hoc data analysis requests.
• Learn and apply various data analysis tools and techniques.
• Collaborate with cross-functional teams to understand data needs.
• Contribute to reports and presentations on data insights.
• Maintain documentation of data analysis processes.
• Participate in training sessions and team meetings.

• Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
• Strong academic record with a focus on quantitative subjects.
• Foundational knowledge of statistical concepts and data analysis.
• Familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a plus.
• Excellent analytical and problem-solving skills.
• Good communication and interpersonal abilities.
• Eagerness to learn and develop data analysis skills.