23 Data Processing jobs in Bahrain
Head - Information Technology (Bede)
Manama, Capital
Zain Bahrain
Posted 10 days ago
Job Viewed
Job Description
Operation
Division
IT & Technical
Location
Closing Date
06-May-2025
About ZainZain is the pioneer of mobile telecommunications in the Middle East. We began life in 1983 in Kuwait as the region’s first mobile operator, and since the initiation of our expansion strategy in 2003, we have expanded rapidly. Read more here: Zain Overview
About the RoleThis role will be part of Zain Bahrain's Subsidiary Fintech Company - "Bede"
Bede, the fintech arm of Zain Bahrain, is a dynamic startup revolutionizing personal finance through Bahrain’s first Shariah-compliant Islamic financing app. Licensed and regulated by the Central Bank of Bahrain, Bede is committed to creating an inclusive platform that offers practical solutions tailored to real customer needs.
With a focus on customer centricity, strategic partnerships, and digital innovation, Bede aims to guide individuals toward growth and success by leveling the playing field for all.
The Head of IT in Bede is responsible for leading the overall technology vision, strategy, and execution for a cutting-edge fintech application specializing in microfinance, cards, and digital payment solutions. This role includes overseeing development, infrastructure, security, and support functions while ensuring high platform availability, scalability, and regulatory compliance. The head will work closely with executive leadership to align technology with business goals and drive innovation in financial services.
What We Need From You- Education: Bachelor’s degree in IT, Computer Science, Fintech or any related field. Fintech related Masters preferred.
- Experience: 10-15+ years of experience in a similar role. Fintech Experience is highly preferred.
- Technical Skills:
- Technology Strategy & Leadership: Strong strategic thinking, leadership, and experience with emerging technologies like AI, blockchain, and data analytics.
- Cloud & Infrastructure Management: Expertise in cloud platforms (AWS, Azure, GCP), microservices, and ensuring high availability and scalability.
- Security & Compliance: Knowledge of PCI-DSS, ISO, cybersecurity frameworks, and financial regulations.
- DevOps & Agile Practices: Ability to drive agile methodologies and DevOps for efficient product development.
- Team & Vendor Management: Leadership in managing tech teams and vendor relationships, alongside budgeting and cost optimization.
- Innovation: Ability to integrate new payment technologies like open banking, digital wallets, and AI-driven risk models.
- Critical Thinking
- Customer Focus and Support
- Market Analysis and Knowledge
- Problem Analysis and Resolution
- Define and execute the technology roadmap to support business objectives and drive innovation in microfinance, card services, and digital payments.
- Establish and maintain a scalable, secure, and high-performance fintech platform, ensuring reliability, efficiency, and compliance with financial regulations.
- Drive digital transformation by leveraging emerging technologies such as AI, blockchain, and data analytics to enhance financial products.
- Ensure alignment between business, product, and technology teams, optimizing digital service delivery.
- Establish agile and DevOps best practices to accelerate product development and deployment cycles.
- Development & Infrastructure Management: Build and lead a high-performing technology team, including software engineers, infrastructure specialists, and security experts.
- Oversee the architecture, development, and deployment of fintech products, ensuring seamless integration of microfinance, payment, and card processing solutions.
- Ensure high platform availability (99.99% uptime), robust disaster recovery mechanisms, and high-load scalability to support transaction-heavy services.
- Champion the use of cloud-native architectures (AWS, Azure, GCP) and containerized microservices for operational resilience.
- Lead initiatives to automate processes, improve deployment efficiency, and enhance system observability.
- Security, Compliance & Risk Management: Implement and maintain bank-grade security standards, ensuring compliance with PCI-DSS, ISO, and financial regulations in fintech.
- Develop a cybersecurity framework to protect user data, prevent fraud, and mitigate risks related to payment transactions.
- Ensure regulatory compliance with central banks, financial authorities, and payment networks, working closely with legal and compliance teams.
- Oversee incident response management and security audits to continuously improve platform security posture.
- Support Functions & Operational Excellence: Establish 24/7 monitoring, support, and IT operations teams to ensure continuous service availability and rapid issue resolution.
- Implement ITSM (IT Service Management) best practices to enhance user support, system maintenance, and platform reliability.
- Oversee SLA (Service Level Agreements) and uptime commitments, ensuring seamless financial transactions for customers.
- Direct the deployment of customer support automation tools, including AI chatbots and self-service portals, to enhance the fintech experience.
- Explore and integrate new payment technologies, including open banking APIs, digital wallets, BNPL (Buy Now Pay Later), and blockchain-based solutions.
- Oversee the adoption of AI-driven risk assessment models to enhance credit scoring and fraud detection in microfinance.
- Evaluate the reduction of physical financial service centers by leveraging digital-first strategies and customer self-service platforms.
- Define budgeting and cost optimization strategies for technology investments and infrastructure expansion.
- Manage relationships with technology vendors, cloud service providers, and third-party payment processors.
- Optimize cost per transaction and per channel, ensuring efficiency in digital customer acquisition and service delivery.
- Service Delivery Enhancement & Technology Utilization: Evaluate and enhance service providers' SLAs, ensuring high-quality technical development and adherence to performance standards.
- Oversee IT setup processes to ensure seamless integration of new technologies and efficient deployment of systems.
- Continuously improve Network Operations Center (NOC) services to ensure real-time monitoring and rapid resolution of technical issues.
- Ensure application stability and efficiency by monitoring system performance and implementing effective solutions.
- Lead the planning and implementation of the Bede IT department setup, ensuring compliance with regional regulations and operational efficiency.
- Develop a roadmap for sprint development, optimizing resource utilization, timelines, and prioritization of tasks.
- Foster a fast, agile, and adaptive approach to technological adoption and system improvements.
- Address customer journey issues by collaborating with relevant teams to enhance user experiences and streamline processes.
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):
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
0
Graduate Trainee - Data Analysis
731 Riffa, Southern
BHD20000 annum (stip
WhatJobs
Posted today
Job Viewed
Job Description
Our client is offering an exciting remote-first opportunity for a Graduate Trainee to immerse themselves in the world of data analysis. This position is ideal for recent graduates who are passionate about uncovering insights from data and contributing to strategic decision-making. As a Graduate Trainee, you will work closely with our senior data scientists and analysts, gaining hands-on experience in data cleaning, manipulation, visualization, and basic statistical modeling. You will be involved in projects that require you to collect, process, and interpret large datasets, identifying trends, patterns, and anomalies. Your responsibilities will include supporting the development of data-driven reports and dashboards, conducting exploratory data analysis, and assisting in the testing and validation of analytical models. The role demands a strong analytical mindset, excellent problem-solving skills, and a meticulous attention to detail. While the role is fully remote, a strong internet connection and a dedicated workspace are essential. You should have a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Familiarity with data analysis tools and programming languages like Python (with libraries such as Pandas, NumPy, Matplotlib) or R is highly desirable. Experience with SQL for database querying and data extraction would be an added advantage. This is a fantastic chance to build a career in data analytics, learn from industry experts, and make a tangible impact from the comfort of your home. We are looking for individuals who are eager to learn, driven by curiosity, and ready to contribute innovative ideas in a remote collaborative environment.
This advertiser has chosen not to accept applicants from your region.
1
Graduate Trainee - Data Analysis
922 Saar, Northern
BHD40000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a pioneering technology firm renowned for its cutting-edge solutions, is offering an exceptional Graduate Trainee opportunity focused on Data Analysis. This is a fully remote, full-time internship designed to provide recent graduates with comprehensive training and hands-on experience in data interpretation, analysis, and visualization.
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
2
Graduate Trainee - Data Analysis
501 Tubli, Central
BHD25000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for enthusiastic and bright Graduate Trainees to join their expanding data analysis department. This is an excellent opportunity for recent graduates to kick-start their careers in a supportive and dynamic environment. You will be mentored by experienced professionals and gain hands-on experience in collecting, cleaning, analyzing, and interpreting data to provide valuable insights. The role involves working with various datasets, utilizing statistical tools, and contributing to data-driven decision-making processes within the organization. You will be exposed to different analytical techniques and learn to communicate findings effectively.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- 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.
Qualifications:
- 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.
This advertiser has chosen not to accept applicants from your region.
3
Graduate Trainee - Data Analysis
401 Tubli, Central
BHD30000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking bright and ambitious recent graduates to join their esteemed organization as Graduate Trainees in Data Analysis. This in-office position offers an immersive learning experience where you will develop your skills in analyzing complex datasets to drive business insights. You will work closely with experienced data analysts and business intelligence teams, contributing to projects that impact strategic decision-making across the company. Responsibilities include data cleaning, exploratory data analysis, statistical modeling, and creating visualizations to communicate findings. The ideal candidate will have a recent Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. A strong academic record and a foundational understanding of statistical concepts and data analysis principles are essential. Prior experience with data analysis tools like Python (Pandas, NumPy), R, or SQL is highly advantageous.
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
4
Graduate Trainee - Data Analysis
702 Riffa, Southern
BHD30000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is offering an exciting Graduate Trainee opportunity in Data Analysis, based in Riffa, Southern, BH , with a remote work option. This program is designed for ambitious recent graduates eager to launch their careers in the data-driven world. You will gain hands-on experience in collecting, cleaning, analyzing, and interpreting large datasets to identify trends, patterns, and insights that drive business decisions. Under the guidance of experienced data professionals, you will develop your skills in statistical analysis, data visualization, and utilizing tools like SQL, Python, or R. This internship provides a comprehensive introduction to the full data lifecycle, from data acquisition to reporting actionable findings. The program emphasizes continuous learning and development, offering exposure to various business functions and cutting-edge analytical techniques. Successful trainees may be offered full-time positions upon completion of the program. This is a fantastic opportunity to build a strong foundation in data analysis and contribute meaningfully to our client's success.
Responsibilities:
Responsibilities:
- Assist in collecting, processing, and cleaning large datasets from various sources.
- Perform statistical analysis on data to identify trends, patterns, and correlations.
- Develop data visualizations and reports to communicate findings effectively.
- Support senior analysts in developing predictive models and business intelligence solutions.
- Learn and apply various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and provide input on analytical projects.
- Gain exposure to different business areas and their data needs.
- Assist in documenting data sources, methodologies, and findings.
- Complete assigned projects and learning modules within set timelines.
- 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 and foundational knowledge of SQL.
- Exposure to statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop skills in data analysis and business intelligence.
- Strong organizational and time management abilities.
This advertiser has chosen not to accept applicants from your region.
5
Graduate Trainee - Data Analysis
BH89 Bilad Al Qadeem, Capital
BHD40000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a forward-thinking analytics firm, is offering an exceptional Graduate Trainee opportunity within their Data Analysis department, operating on a fully remote basis. This program is designed for ambitious recent graduates eager to launch their careers in data science and analytics. You will gain hands-on experience, learn from industry experts, and contribute to meaningful data projects that drive business insights. Key Responsibilities:
- Assist senior data analysts in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of data models and statistical analyses.
- Create visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data analysis techniques and tools, such as SQL, Python (Pandas, NumPy), and R.
- Participate in team meetings and contribute to project discussions.
- Develop a strong understanding of data governance and best practices.
- Assist in testing and validating data-driven solutions.
- Collaborate with team members to troubleshoot data-related issues.
- Undertake training and development activities to build expertise in data analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and SQL.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote learning environment.
- Proactive attitude towards learning and skill development.
- Must have access to a reliable computer and stable internet connection for remote participation.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Data processing Jobs in Bahrain !
6
Graduate Trainee - Data Analysis
902 Tubli, Central
BHD35000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a forward-thinking analytics firm specializing in big data solutions, is offering an exciting remote opportunity for recent graduates to join as Graduate Trainees in Data Analysis. This fully remote program is designed to immerse you in the world of data science and analytics, providing hands-on experience with real-world datasets. You will work alongside experienced data scientists and analysts, learning to clean, process, analyze, and visualize data to extract meaningful insights. Your responsibilities will include assisting in the development of data models, performing statistical analysis, and creating reports and dashboards to communicate findings. You will gain exposure to various analytical tools and programming languages. The ideal candidate is highly analytical, detail-oriented, and possesses a strong quantitative aptitude, coupled with excellent problem-solving skills. A passion for data, a desire to learn new technologies, and the ability to work effectively both independently and as part of a remote team are essential. A recent Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field is required. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with SQL are highly desirable. Prior internship experience in data analysis or a related field is a plus. This program offers an excellent foundation for a career in data analytics, with opportunities for professional development and potential full-time employment upon successful completion. You will be challenged to think critically and contribute to data-driven decision-making processes within the company. We are looking for individuals who are eager to build a career in leveraging data to solve complex business problems.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform statistical analysis and data mining to identify trends and patterns.
- Develop and maintain data models and algorithms.
- Create visualizations and reports to communicate findings effectively.
- Collaborate with senior analysts on data-driven projects.
- Learn and utilize various data analysis tools and software.
- Document data processes and analysis methodologies.
- Contribute to the development of data quality standards.
- Support ad-hoc data requests from various departments.
- Stay updated on the latest trends in data analysis and data science.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Analysis
511 Busaiteen, Muharraq
BHD25000 annum (stip
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leading analytics firm, is offering an exciting Graduate Trainee opportunity in Data Analysis, located in A'ali, Northern, BH, with a fully remote work option. This program is designed for recent graduates eager to launch their careers in data science and analytics. You will gain hands-on experience working with large datasets, applying statistical methods, and developing predictive models under the guidance of experienced data professionals. This role provides a strong foundation for a career in data-driven decision-making.
Responsibilities:
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and preparing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms.
- Create data visualizations and reports to communicate findings to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Learn and apply various data analysis techniques and tools (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and contribute to project discussions.
- Stay updated on the latest developments in data science and analytics.
- Assist in documenting data processes and methodologies.
- Help in A/B testing design and analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Familiarity with programming languages commonly used in data analysis, such as Python or R.
- Knowledge of SQL for data extraction and manipulation.
- Basic understanding of statistical concepts and machine learning algorithms.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and collaboration skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently in a remote environment.
- Proactive attitude and strong work ethic.
This advertiser has chosen not to accept applicants from your region.
8
Graduate Trainee - Data Analysis
24205 Seef, Capital
BHD30000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their data analysis team in Jidhafs, Capital, BH . This program is designed for recent graduates looking to gain hands-on experience and develop their skills in a professional environment. The Graduate Trainee will assist senior data analysts in collecting, cleaning, analyzing, and interpreting large datasets. You will learn to use various data analysis tools and techniques, contributing to projects that drive business insights and decision-making. Key responsibilities include supporting data extraction, performing data quality checks, generating reports, and visualizing data trends. The ideal candidate will possess a strong academic background, a keen analytical mind, and a passion for working with data. Excellent attention to detail and the ability to learn quickly are essential. Proficiency in basic statistical concepts and familiarity with spreadsheet software (e.g., Microsoft Excel) is required. Exposure to programming languages like Python or R, or database querying languages like SQL, would be a significant advantage. You will work closely with experienced professionals, gaining valuable exposure to real-world data challenges and solutions. This internship provides a solid foundation for a career in data analysis, offering mentorship and opportunities for professional growth. The program duration is typically 6 months, with the possibility of extension or full-time employment based on performance and business needs. We are looking for enthusiastic individuals eager to apply their academic knowledge and contribute to impactful projects.
Responsibilities:
Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data analysis using statistical methods and tools.
- Create reports and visualizations to present data insights.
- Support senior analysts in data-driven projects.
- Ensure data accuracy and integrity.
- Learn and apply new data analysis techniques and software.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Eagerness to learn and develop skills in data analysis.
- Familiarity with Python, R, or SQL is a plus.
- Excellent attention to detail.
This advertiser has chosen not to accept applicants from your region.
9