29 Data Analysis jobs in Manama

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights relevant to business objectives.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support the creation of data visualizations to communicate findings effectively to stakeholders.
• Collaborate with team members on ad-hoc data analysis requests and projects.
• Ensure data accuracy and integrity throughout the analysis process.
• Learn and apply statistical techniques to interpret data.
• Assist in documenting data processes and methodologies.
• Contribute to the continuous improvement of data analysis practices.
• Gain exposure to different business functions through data analysis tasks.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Basic understanding of SQL for data extraction and manipulation is preferred.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) 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 adapt to new technologies and methodologies.
• Previous internship experience in data analysis is advantageous.

2 months ago Be among the first 25 applicants

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Manama, Capital Governorate, Bahrain 3 weeks ago

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• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.
  
  

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
  

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
  
  

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
  
  

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.
  
  

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus
  
  

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

• Design, build, and deploy ML/AI models for:
  • Personalized investment recommendations
  • Smart content curation
  • Behavioral and predictive analytics
  • Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus

• Assist senior data scientists in collecting, cleaning, and processing large datasets from various sources.
• Learn and apply statistical methods and machine learning algorithms to analyze data and extract meaningful insights.
• Develop and test predictive models and data-driven solutions.
• Contribute to the development of data visualizations and reports to communicate findings effectively.
• Participate in team meetings, brainstorming sessions, and knowledge-sharing initiatives.
• Support the implementation and deployment of data science models into production environments.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science problems.
• Conduct literature reviews and research on emerging data science techniques and tools.
• Assist in the evaluation and validation of model performance.
• Document methodologies, code, and findings thoroughly.
• Adhere to data privacy and security best practices.
• Learn and utilize various data science tools and programming languages (e.g., Python, R, SQL).
• Contribute to team projects and gain practical experience in a professional setting.
• Seek feedback and actively participate in training sessions and workshops.
• Develop a strong foundation in data science principles and practical applications.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong foundation in statistics, probability, and linear algebra.
• Familiarity with programming languages such as Python or R.
• Knowledge of SQL for data manipulation and querying.
• Understanding of machine learning concepts and algorithms is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and ability to work with large datasets.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and ability to work independently with minimal supervision.
• Must be legally eligible to work in Tubli, Capital, BH .

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1 year ago Be among the first 25 applicants

Join to apply for the Data Analyst role at Dicetek LLC

We are seeking a skilled Data Analyst with experience in AWS Cloud environments to join our dynamic team. The ideal candidate will possess a strong analytical background, expertise in data management, and a thorough understanding of financial services. You will be responsible for analyzing complex datasets, generating insights, and supporting data-driven decision-making processes.

Minimum of 3 years’ experience in a similar role in a bank or financial institution with a total of minimum 10 years’ experience working in banking industry experience. Track record of successful implementation of data initiatives in banking, wholesale banking or Transaction banking.

Data Analytics Skills

The data Analyst needs to have a good understanding of the concepts, methods and techniques used:

• Data Analytics: Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Data Visualization: Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
• Data Analysis & Structures: Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understanding of difference data structures structured, semi structured and unstructured data.
  
  

• Programming languages: like SQL, Python or R and notebooks like R Studio or Jupyter.
• Data visualization Tools: such as Tableau or Power BI.
• AWS Cloud Skills: strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases. Utilize AWS services (e.g., S3, Redshift, RDS, Athena, Glue) to manage and analyze data.
  
  

• Work closely with cross-functional teams, including IT, Business, and operations, to understand business needs and provide data-driven insights.
• Communicate findings and recommendations to stakeholders through clear and concise presentations.

• Seniority level Not Applicable

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Manama, Capital Governorate, Bahrain
BHD1,500.000
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BHD1,600.000
2 months ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 days ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 8 months ago

Manama, Capital Governorate, Bahrain 2 days ago

Manama, Capital Governorate, Bahrain 4 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking a skilled Data Analyst with experience in AWS Cloud environments to join our dynamic team. The ideal candidate will possess a strong analytical background, expertise in data management, and a thorough understanding of financial services. You will be responsible for analyzing complex datasets, generating insights, and supporting data-driven decision-making processes.

Minimum Requirements:

Experience:
Minimum of 3 years’ experience in a similar role in a bank or financial institution with a total of minimum 10 years’ experience working in the banking industry. Track record of successful implementation of data initiatives in banking, wholesale banking, or transaction banking.

Data Analytics Skills:

The Data Analyst needs to have a good understanding of the concepts, methods, and techniques used:

• Data Analytics: Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Data Visualization: Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
• Data Analysis & Structures: Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understanding of different data structures: structured, semi-structured, and unstructured data.

• Wholesale Banking/Transaction Banking acumen, including understanding Transaction Banking concepts, practices, and domain language to engage in problem-solving activities and discuss business issues in stakeholder language.
• Journey and Business process transformation, including the ability to understand how AI and Analytics can help redesign the way work is done.
• Business lines data, including the structure, ownership, and use within an organization.
• Knowledge and expertise of Transaction Banking products such as Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management, and Treasury solutions, along with relevant data requirements.

• Programming languages: SQL, Python, or R and notebooks like R Studio or Jupyter.
• Data visualization Tools: Tableau or Power BI.
• AWS Cloud Skills: Strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases. Utilize AWS services (e.g., S3, Redshift, RDS, Athena, Glue) to manage and analyze data.

• Work closely with cross-functional teams, including IT, Business, and Operations, to understand business needs and provide data-driven insights.
• Communicate findings and recommendations to stakeholders through clear and concise presentations.

• Assist in the collection, cleaning, and organizing of data from various sources.
• Perform data analysis using statistical methods and tools to identify trends and patterns.
• Develop and maintain reports and dashboards to track key performance indicators (KPIs).
• Support senior analysts in generating insights and recommendations based on data findings.
• Collaborate with different departments to understand data needs and provide analytical support.
• Learn and apply data visualization techniques to present findings effectively.
• Ensure data accuracy and integrity throughout the analysis process.
• Participate in team meetings and contribute to project discussions.
• Gain practical experience with data analysis software and databases.
• Contribute to improving data collection and reporting processes.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis techniques.
• Familiarity with SQL for data querying is a strong plus.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to learn quickly and adapt to new technologies.
• Eagerness to work in a collaborative team environment and contribute to projects.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis using statistical techniques to identify trends, patterns, and anomalies.
• Create clear and concise data visualizations, charts, and reports to communicate findings to stakeholders.
• Support senior analysts in developing and implementing data-driven strategies.
• Participate in data quality assurance processes to ensure accuracy and integrity.
• Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions.
• Stay up-to-date with the latest data analysis tools and methodologies.
• Contribute to the development of dashboards and performance metrics.
• Document data processes and findings for future reference.
• Provide ad-hoc data analysis support as needed.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proficiency in data analysis software such as Excel, SQL, and Python or R is highly desirable.
• Familiarity with data visualization tools like Tableau or Power BI is a plus.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.
• Ability to work independently and as part of a team in a fast-paced environment.
• A proactive attitude and a strong desire to learn and grow within the data analytics field.
• Understanding of database concepts and data management principles.