91 Analytics jobs in Bahrain

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

• Lead and manage a team of sports analysts, providing guidance and mentorship.
• Develop and implement advanced analytical models for player performance evaluation, game strategy, and opponent scouting.
• Analyze vast datasets from various sources, including player tracking, performance metrics, and fan behavior.
• Translate complex data findings into clear, concise, and actionable insights for coaches and management.
• Develop predictive models to forecast game outcomes, player development, and fan engagement trends.
• Collaborate with coaching staff to integrate analytics into training and game planning.
• Oversee the development and maintenance of data dashboards and reporting tools.
• Stay current with the latest trends and technologies in sports analytics and data science.
• Identify new opportunities for leveraging data to gain a competitive advantage.
• Present findings and recommendations to senior leadership and stakeholders.

• Bachelor's degree in Statistics, Data Science, Mathematics, Sports Management, or a related quantitative field; Master's degree preferred.
• Minimum of 5 years of experience in sports analytics or a related field, with at least 2 years in a leadership or management role.
• Proven experience in developing and applying analytical models to sports data.
• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning, and predictive analytics.
• Excellent communication, presentation, and interpersonal skills.
• Knowledge of various sports, their rules, and performance metrics.
• Ability to work effectively in a fast-paced, dynamic environment.
• Demonstrated ability to lead and mentor a team.

Company

Gulf Air Group

Division

Information Technology

Location

Department

Information Technology

Closing Date

10-Jun-2025

The Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making.

By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization’s analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.

Conduct data analysis to identify trends, patterns, and correlations.

Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).

Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.

Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.

Prepare and present reports, visualizations, and recommendations to stakeholders.

Assist in data quality assurance activities, including data cleansing and validation.

Support the implementation and maintenance of data analytics tools and platforms.

Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions.

Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.

Adhere to data security, privacy, and compliance policies and regulations.

Technical Responsibilities:

Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau.

Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.

Familiarity with data manipulation and transformation techniques.

Understanding of basic machine learning algorithms and their application in data analytics.

Ability to work with large datasets and perform data cleansing and manipulation.

Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.

Proven experience of at least 2 years in data analytics or a related field

Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.

Proficient in data analysis tools and programming languages.

Excellent communication and presentation skills.

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

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

• In this 24week (part-time) Data Analytics Bootcamp, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI, Python as the tools for analysis.

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, POWER BI and Python Programming.
• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have at least 3 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data based insights.

ESSENTIAL RESPONSIBILITIES AND DUTIES

• Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
• Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Posting date: 10-15-2024

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

• In this 24-week (part-time) Data Analytics Bootcamp, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI, Python as the tools for analysis.

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI, and Python Programming.
• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have at least 3 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.

ESSENTIAL RESPONSIBILITIES AND DUTIES

• Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
• Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills.

• Comprehensive training in data analysis techniques, statistical modeling, and business intelligence tools.
• Exposure to cutting-edge data visualization software and methodologies.
• Mentorship from experienced data scientists and analysts within the firm.
• Practical experience working on diverse client projects, applying learned skills to solve business problems.
• Opportunities to develop proficiency in programming languages relevant to data analytics, such as Python and R, and SQL.
• Training on industry-standard data warehousing and database management principles.
• Development of presentation and communication skills to effectively convey complex data findings.
• Understanding of data governance, ethics, and best practices in data handling.
• Rotation through different project teams to gain a broad understanding of business applications.
• Potential for full-time employment upon successful completion of the trainee program.

• Recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Demonstrated interest and aptitude for data analysis and working with large datasets.
• Proficiency in Microsoft Excel; experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., Python, R, SQL) is a significant advantage.
• Excellent communication and interpersonal skills, with the ability to articulate findings clearly.
• Proactive learner with a strong desire to develop expertise in data analytics.
• Ability to work collaboratively in a team environment.
• Eligible to work in Bahrain.

• Assist in the collection, cleaning, and preprocessing of data from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development of data visualizations and reports using tools like Tableau or Power BI.
• Collaborate with senior analysts and data scientists on ongoing projects.
• Learn and apply statistical methods and data modeling techniques.
• Contribute to the development and testing of data solutions.
• Assist in documenting data processes and findings.
• Participate in training sessions and workshops to enhance analytical skills.
• Learn and practice programming languages relevant to data analysis (e.g., Python, R, SQL).
• Support the interpretation of data to provide actionable business insights.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong understanding of statistical concepts and analytical principles.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong analytical thinking and ability to interpret data.
• Good communication and interpersonal skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• High level of motivation and a proactive attitude.