195 Analytics Intern jobs in Bahrain

Operation

Division

Strategy & Business Development

Location

Closing Date

09-Mar-2025

Zain 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 .

The Business Analytics Specialist is responsible for conducting comprehensive analysis throughout the entire data lifecycle, including requirements gathering, activity analysis, and design assessment. They develop robust analysis and reporting capabilities using advanced techniques and tools, leveraging statistical models, machine learning algorithms, and data visualization. The Specialist monitors performance and implements quality control plans to ensure accurate results, while proactively identifying improvement opportunities to enhance operational efficiency. Staying updated with industry trends, they contribute to strategic decision-making and the organization's success by leveraging data-driven insights in a rapidly evolving telecom landscape.

1. Interpret data, analyze results using statistical techniques, and provide ongoing reports.
2. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
3. Acquire data from primary or secondary data sources and maintain databases/data systems.
4. Identify, analyze, and interpret trends or patterns in complex data sets.
5. Locate and define new process improvement opportunities.
6. Coordinate tools for process management and ensure that cycle guidelines are adhered to.
7. Arrange anomalies of consumption and identify errors in data and take measures to resolve them.
8. Evaluate business data to identify their different characteristics and locate their similarities to find ways they can be integrated for better results.
9. Design comprehensive data reports and other business tools to assist business managers and executives in making important business decisions.
10. Monthly and quarterly performance reports of Sales and Customer care agents.
11. Segment performance reports of enterprise account managers.
12. Design and implement digital dashboards and maintain digital initiatives.
13. Carry out an audit on data to tackle customer base business-related issues.
14. Support ad-hoc reports required by the business analytics team.

1. Knowledge of statistical packages for datasets analysis (Excel, SPSS, R, Python, Power BI, Tableau or similar reporting tools).
2. Ability to obtain, retain and effectively utilize knowledge of services available and customer service policies procedures and all necessary systems interfaces.
3. Ability of Multitasking based on requirements.
4. Ability to combine and transform data to facilitate reporting and measurement and communicate those results to non-technical audiences.
5. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
6. Adept at queries, report writing and presenting findings.
7. Advance know-how of Excel and PowerPoint.

Bachelors Degree in Computer Science, Information Management, Mathematics, Economics or Statistics or any relevant field of study.

4-5+ years of experience in the telecom industry (preferred) or a relevant field.

3+ years of experience in Business Analytics or a working knowledge of analyzing data from complex business systems. Alternatively, an advanced degree in a relevant field can be considered as an equivalent qualification.

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):

Zain 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: About Us

The Digital Analytics Lead is responsible for driving the organization's data-driven decision-making by managing digital analytics tools, generating actionable insights, and optimizing digital channel performance. This role requires a strong analytical mindset, proficiency in data tools and technologies, and the ability to collaborate with cross-functional teams to enhance business outcomes through precise measurement, reporting, and strategy development.

1. Data Management & Integration:
   • Oversee the setup, configuration, and maintenance of digital analytics platforms.
   • Manage data collection processes, ensuring accuracy, consistency, and compliance with data governance standards.
   • Integrate analytics tools and data sources to create a comprehensive digital performance measurement framework.
2. Performance Analysis & Insights:
   • Monitor key performance indicators (KPIs) and digital metrics across platforms to assess campaign effectiveness and user behavior.
   • Analyze data trends to uncover insights and opportunities for optimization.
   • Provide recommendations to improve digital experiences and drive conversions.
   • Partner with marketing, product, and BI teams to align analytics strategies with business goals.
   • Develop and present dashboards, visualizations, and performance reports for stakeholders.
   • Contribute to the creation of data-driven strategies for customer engagement and retention.
   • Implement and optimize tools for customer engagement, mobile performance measurement, and workflow automation.
   • Leverage emerging technologies to enhance data connectivity and reporting efficiency.
3. Stay Current with Industry Trends:
   • Keep up-to-date with advancements in digital analytics, tools, and methodologies.
   • Recommend and implement innovative approaches to improve analytics capabilities.

• Experience with customer engagement platforms and mobile measurement tools.
• Familiarity with workflow automation and application performance monitoring tools.
• Knowledge of data governance and compliance best practices.
• Proficiency in analytics platforms and data visualization tools.
• Strong understanding of digital marketing channels and performance optimization.
• Excellent problem-solving skills with the ability to translate data into actionable insights.
• Effective communication and collaboration skills to work with cross-functional teams.

• Bachelor’s degree in Marketing, Business, Data Science, or a related field; advanced degree preferred.
• 5+ years of experience in digital analytics, data management, or a similar role.

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):

About Zain Bahrain · At Zain Bahrain, we are the pioneers of mobile telecommunications in the Middle East. We began life in 1983 in Kuwait as the region's first mobile operator. · Business Analytics Specialist Role · The Business Analytics Specialist is responsible for conducting .

Job Title · Risk Analytics Specialist · Job Description · Monitor risk parameters as per board-approved risk framework. · Update procedures related to credit risk, impaired assets, and provisioning. · Timely and accurate submission of risk management information system (MIS) repo .

Risk Analytics Specialist · VAM Systems seeks a highly skilled Risk Analytics Specialist to join our Bahrain operations team. · Monitor and manage risk parameters in accordance with our Board-approved risk framework. · Develop and maintain procedures related to credit risk, impai .

Job Title: Business Analytics Specialist · The Business Analytics Specialist is responsible for conducting comprehensive analysis throughout the entire data lifecycle, including requirements gathering, activity analysis, and design assessment of FinTech operations. This role help .

Job Description: · This is a Business Analytics Specialist role that will serve Bede Bsc, Zain Bahrain's Fintech subsidiary. The primary responsibility of this position is to conduct comprehensive analysis throughout the entire data lifecycle, including requirements gathering, ac .

SWATX is looking for an Operations Execution specialist to streamline and enhance our operational processes. This role is crucial for ensuring that our operations run efficiently and effectively, aligning with our strategic goals. · Execute operational plans and strategies that a .

We are looking for a highly skilled E-Commerce Specialist with advanced expertise in Shopify store development, Instagram Ads, TikTok Ads, and Facebook/Meta Ads. · Build and optimize Shopify stores with high-converting product pages and seamless checkout experiences. · Strategize .

As an Account Manager/Senior Account Manager in our MENAT Sales/Public Sector teams, you are driving digital transformations through effective engagement with C-level business and IT executives, IT leaders, architects, developers, and various lines of businesses. You are establis .

Job Title: Risk Management Specialist · Job Summary: · We are seeking a highly skilled Risk Management Specialist to join our team at Reso. The ideal candidate will have knowledge in Finance and Accounting, with experience in reporting and analytics. · Key Responsibilities: · Con .

Job Title: Data-Driven Marketing Specialist · We are seeking a skilled DS Campaign Manager to lead our data science-driven marketing initiatives. In this role, you will design and execute campaigns that leverage advanced analytics and machine learning techniques to optimize custo .

Digital Marketing Specialist · We are seeking a highly skilled Digital Marketing Specialist to join our team. · Plan and execute digital marketing campaigns across various platforms. · Manage and optimize Meta (Facebook & Instagram) ad campaigns for performance. · Coordinate and .

At SWATX, we are seeking an experienced Operations Specialist to enhance our operational processes. · About the Role · We are looking for a detail-oriented professional with strong analytical skills to implement operational strategies aligned with company goals and KPIs. · The id .

Job Summary · The ideal candidate will grow revenue through digital media by designing and executing marketing campaigns, analyzing data across multiple channels. · Key Responsibilities · Design and implement campaigns that meet client needs · Provide analytical reports of campai .

Job Title: Data Quality Specialist · VAM Systems is seeking a skilled Data Quality Specialist to join our team in Bahrain. The ideal candidate will have a strong background in data management, excellent analytical skills, and experience with ETL tools, data profiling, and SQL. · .

At Unipal, we are seeking a proactive and relationship-driven Relationship Management Specialist to join our team. This role is at the heart of building and maintaining long-term partnerships that drive mutual growth for Unipal and its partners. · Key Responsibilities · Build and .

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, powers breakthrough initiatives in public cloud, data science, AI, engineering innovation, and IoT. · The company is founder-led, p .

Transaction Banking Specialist · The ideal candidate will be responsible for enhancing the efficiency, productivity, and overall performance of Cash Management, Trade Finance, and Supply Chain Finance products. · Key Responsibilities · Evaluate current business processes and work .

About the Opportunity · We are seeking a Senior Specialist to provide analytical support for various forums within our organization. · Research and analyze market trends, competition, and data insights to inform business decisions. · Develop strategies for inventory management an .

Job Title: · Content Marketing Team Manager · Overview: · We are seeking a highly skilled Content Marketing Team Manager to lead our content efforts and manage a team of brilliant writers and content strategists. · Key Responsibilities: · Develop and execute a content marketing s .

**About Us** · Canonical is a pioneering tech firm at the forefront of the global move to open source. We publish Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud. · We are changing the world of software by recruiting on a global .

About Zahrawi Group · Located in Manama, Bahrain, the Zahrawi Group is a leading healthcare company serving various markets in the GCC region. We specialize in supplying and distributing high-quality products and services to hospitals, clinics, laboratories, and analytical indust .

About the Role

Note: this role will mostly serve Bede Bsc, Zain Bahrain's Fintech subsidiary.

The Business Analytics Specialist is responsible for conducting comprehensive analysis throughout the entire data lifecycle, including requirements gathering, activity analysis, and design assessment of FinTech operations. This role helps in developing robust analysis and reporting capabilities using advanced techniques and tools, leveraging statistical models, machine learning algorithms, and data visualization. Personnel holding this role monitors performance and implements quality control plans to ensure accurate results, while proactively identifying improvement opportunities to enhance operational efficiency. Staying updated with industry trends, they contribute to strategic decision-making and the organization's success by leveraging data-driven insights in a rapidly evolving FinTech landscape.

What We Need From You

Education

BS in Computer Science, Information Management, Mathematics, Economics or Statistics or any related field of study.

Experience

Minimum of 3-5 years of experience in the FinTech or Telecom industry or closely related field.

• 3+ years of experience in Business Analytics or a working knowledge of analyzing data from complex business systems. Alternatively, an advanced degree in a relevant field can be considered as an equivalent qualification.

Skills

• Knowledge of statistics and experience use statistical packages for analyze datasets (Excel, SPSS, R, Python, Power BI, Tableau or similar reporting tools) .
• Hands-on experience with BI tools (e.g., Tableau, Power BI), SQL, and tools like Google Analytics / Firebase.
• Ability to obtain, retain and effectively utilize knowledge of services available and customer service policies procedures and all necessary systems interfaces.
• Strong knowledge of digital product analytics (mobile/web), digital marketing funnels, and campaign KPIs.
• Familiarity with credit card operations, remittance processes, and microfinancing models.
• Experience with customer journey mapping tools, CDPs, and marketing automation platforms
• Ability of Multitasking based on requirements.
• Ability to work under pressure and stress.
• Ability to communicate results to a non-technical audience.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Main Responsibilities

• Collect and define detailed business requirements for digital products and financial services (credit cards, remittance, microfinance, etc.).
• Work with stakeholders to translate business goals into analytical insights and system specifications.
• Analyze performance across digital acquisition and engagement channels (email, SMS, push, in-app, social, etc.).
• Provide recommendations based on attribution models, funnel analysis, and A/B testing.
• Track and evaluate campaign effectiveness and customer acquisition costs (CAC).
• Map and analyze end-to-end customer journeys within mobile applications, including onboarding, loan application, repayments, remittance flows, and card usage.
• Identify drop-off points, conversion opportunities, and feature adoption patterns.
• Partner with UX/UI teams to enhance app experience based on behavioral data.
• Conduct business and performance analysis on microloan programs: approval rates, default risk, repayment behavior.
• Support remittance operations by analyzing transaction volume, corridor performance, user behavior, and compliance metrics.
• Track and optimize credit card KPIs: activation rates, usage trends, credit limits, rewards, and delinquency.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Locate and define new process improvement opportunities.
• Coordinate tools for process management and ensure that cycle guidelines are adhered to.
• Evaluate business data to identify their different characteristics and locate their similarities to find ways they can be integrated for better results.
• Design comprehensive data reports and other business tools to assist business managers and executives in making important business decisions.
• Monthly and quarterly performance reports of Sales and Customer care agents.
• Design and implement digital dashboards and maintain digital initiatives.
• Carry out an audit on data to tackle customer base business-related issues.
• Support ad-hoc reports required by the business and management teams.
• Create and maintain Business Requirement Documents (BRDs), Functional Requirements Document (FRDs), user stories, data dictionaries, and performance dashboards.
• Present findings and actionable insights to business, product, and technical leadership.

Alliance International Consulting Firm - Manama

• Collect, clean, and organize large datasets related to player performance, game data, and opponent analytics.
• Develop and implement statistical models and predictive algorithms to identify trends and insights.
• Analyze game footage and performance metrics to provide actionable feedback to coaches and players.
• Create compelling data visualizations and reports to communicate findings to stakeholders.
• Collaborate with coaching staff to develop game strategies and player development plans.
• Assist in scouting and player recruitment by evaluating talent based on data analytics.
• Monitor key performance indicators (KPIs) for players and the team.
• Stay up-to-date with the latest advancements in sports analytics and data science techniques.
• Work with various data sources, including internal databases, public APIs, and third-party analytics providers.
• Present findings and recommendations to management and coaching staff.
• Ensure data integrity and accuracy across all analytical processes.
• Contribute to a data-driven culture within the organization.

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience in sports analytics or a similar data analysis role.
• Strong proficiency in statistical programming languages such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Solid understanding of statistical modeling, machine learning techniques, and experimental design.
• Passion for sports and a deep understanding of sports dynamics and strategies.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work collaboratively in a team environment.
• Familiarity with sports-specific data sources and analytics platforms is a plus.
• Experience with SQL for data extraction and manipulation.

• Lead the development and application of analytical models for player performance, team strategy, and scouting.
• Collect, clean, and process large datasets from various sources, including game statistics, player tracking, and biometrics.
• Utilize statistical techniques and machine learning algorithms to derive insights.
• Visualize data and present findings clearly and concisely to stakeholders, including coaches and executives.
• Identify key performance indicators (KPIs) and monitor trends to inform decision-making.
• Collaborate with coaching staff to translate analytical insights into practical game plans.
• Stay abreast of new technologies and methodologies in sports analytics.
• Mentor junior analysts and contribute to the growth of the analytics team.
• Develop predictive models for player development and injury prevention.
• Analyze fan engagement data to improve marketing and communication strategies.
• Manage data infrastructure and ensure data integrity.
• Prepare regular reports and presentations on team performance and insights.

• Master's or PhD in Statistics, Data Science, Sports Science, or a related quantitative field.
• Minimum of 5 years of experience in sports analytics or a related data science role.
• Proven experience with statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports performance metrics and methodologies.
• Experience with machine learning techniques and predictive modeling.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work independently and collaboratively in a remote team environment.
• Passion for sports and a deep understanding of the sports landscape.
• Experience with SQL and database management.

• Lead and mentor a team of sports data analysts.
• Develop and maintain statistical models for player and team performance analysis.
• Analyze game data to provide strategic insights for coaching staff.
• Create visualizations and reports to communicate findings to stakeholders.
• Identify trends and patterns to enhance fan engagement and marketing strategies.
• Collaborate with sports scientists and performance coaches to optimize training programs.

• Master's degree in Statistics, Data Science, Sports Science, or a related field.
• 5+ years of experience in sports analytics, with at least 2 years in a management role.
• Proficiency in Python or R for statistical analysis and modeling.
• Strong knowledge of SQL and database management.
• Experience with data visualization tools (Tableau, Power BI).
• Excellent understanding of sports rules, strategies, and performance metrics.
• Strong leadership, communication, and presentation skills.
• Ability to work effectively in a hybrid work environment.