12 Data Specialist jobs in Bahrain

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

Job Objective

Lead the development and management of cloud-based data-driven solutions, leveraging on AWS partnership to create impactful customer offerings. The role will also involve collaboration with the presales team to design and position innovative products and solutions for our customers.

• Identify, define, and prioritize cloud-based products with a focus on data solutions.
• Lead the design, development, and deployment of scalable data products and services.
• Develop strategies to address key customer pain points in data storage, processing, and analysis.
• Partner with engineering teams to ensure the successful execution of the product roadmap.
• Collaborate with the presales team to create tailored cloud solutions for customers, focusing on AWS opportunities.
• Act as the primary technical advisor during client engagements, highlighting the unique value of proposed solutions.
• Engage with customers to understand their data challenges and align solutions to their needs.
• Conduct competitive analysis to identify opportunities for AWS related products and services.
• Gather feedback to refine and enhance product offerings.
• Perform other responsibilities as required by higher levels of supervision.

The Product Specialist for Cloud-based data-driven solutions plays a crucial role in driving the adoption and success of our innovative product offerings.

By leveraging deep technical expertise and understanding of market trends, this role will directly impact the development and enhancement of our product offerings.

By collaborating with cross-functional teams including engineering, marketing, and sales, the Product Specialist ensures that our products will meet market demands, enhance customer satisfaction, and contribute to the overall growth of the organization.

Technical Expertise : Deep understanding of Cloud technologies.

Market Awareness : Knowledge of industry trends and competitive landscape related to cloud-based data driven solutions.

Communication : Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders.

Problem-Solving : Strong troubleshooting abilities to identify issues and provide timely solutions.

Collaboration : Experience of working in cross-functional teams and fostering a collaborative work environment.

Bachelor’s degree in Business Administration, Engineering, IT or any other relevant field.

Certification:

AWS Certified Solutions Architect – Professional

Minimum 8 years of relevant experience

If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application you would need the following document(s):

• Plan, execute, and manage integrated marketing campaigns across multiple channels.
• Develop campaign strategies, define target audiences, and set campaign objectives.
• Manage campaign budgets and ensure efficient allocation of resources.
• Monitor campaign performance using analytics tools and generate regular reports.
• Analyze data to measure campaign effectiveness and identify optimization opportunities.
• Collaborate with design, content, and sales teams to ensure cohesive campaign execution.
• Conduct market research and competitor analysis to inform campaign strategies.
• Implement A/B testing and conversion rate optimization techniques.
• Stay up-to-date with the latest marketing trends, tools, and best practices.
• Manage relationships with external vendors and agencies as needed.
• Ensure all campaigns adhere to brand guidelines and messaging.

• Bachelor's degree in Marketing, Communications, Business, or a related field.
• Minimum of 3 years of experience in marketing campaign management or a related role.
• Proven experience in developing and executing successful marketing campaigns.
• Strong understanding of digital marketing channels, including social media, email, SEM, and content marketing.
• Proficiency in marketing analytics tools (e.g., Google Analytics) and CRM systems.
• Experience with marketing automation platforms is a plus.
• Excellent project management and organizational skills.
• Strong analytical and problem-solving abilities.
• Effective written and verbal communication skills.
• Ability to work effectively in a hybrid team environment.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Create data visualizations, charts, and dashboards to communicate findings effectively.
• Support senior analysts in developing reports and presentations for stakeholders.
• Learn and apply data manipulation techniques using software like Excel, SQL, or Python.
• Participate in team meetings to discuss project progress and share findings.
• Contribute to the development of data models and analytical frameworks.
• Help in identifying data quality issues and recommend solutions.
• Gain exposure to business intelligence tools and their application.
• Assist in testing and validating data outputs.
• Follow established data governance and security protocols.
• Engage in learning activities and training sessions to enhance data analysis skills.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Basic understanding of statistical concepts and methods.
• Familiarity with at least one programming language (e.g., Python, R) or database query language (e.g., SQL) is a strong plus.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team in a hybrid environment.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Must be eligible to work in the specified location.
• Enthusiasm for data and its potential to drive business decisions.

• Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
• Performing exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Developing and implementing statistical models and algorithms for data analysis.
• Creating clear and compelling data visualizations to communicate findings to stakeholders.
• Supporting senior analysts in developing reports and dashboards.
• Learning and applying various data analysis tools and techniques.
• Collaborating with cross-functional teams to understand data requirements and project goals.
• Contributing to data quality assurance and validation processes.
• Assisting in the documentation of data analysis methodologies and findings.
• Participating in team meetings and contributing to project discussions.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Familiarity with programming languages such as Python or R is a plus.
• Basic knowledge of SQL and database concepts is advantageous.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.
• High level of attention to detail and accuracy.
• Proactive and results-oriented attitude.
• Prior internship or project experience in data analysis is beneficial but not mandatory.

• Acquire, process, and analyze remote sensing data (satellite imagery, aerial photos).
• Interpret spectral and spatial characteristics of geological features.
• Develop and apply GIS and remote sensing methodologies for geological mapping.
• Conduct data fusion with geophysical and geochemical datasets.
• Assess geological formations, mineral potential, and environmental impacts.
• Utilize programming languages for data analysis and automation.
• Generate geological maps and interpret subsurface structures.
• Prepare technical reports and present findings to project teams.
• Collaborate with geoscientists and engineers remotely.

• Interpreting satellite imagery, aerial photography, and other remote sensing data for geological mapping and target identification.
• Utilizing GIS and specialized software to process, analyze, and visualize geological datasets.
• Developing and implementing geological models based on integrated data sources, including geophysical and geochemical information.
• Assessing the economic viability of prospective mineral deposits based on geological and remote sensing data.
• Collaborating with exploration teams to plan and prioritize field work.
• Preparing detailed geological reports, presentations, and recommendations for exploration strategy.
• Staying current with the latest advancements in remote sensing technology and geological interpretation techniques.
• Mentoring junior geologists and contributing to knowledge sharing within the team.