31 Data Analysis Tools jobs in Bahrain
Data Management Senior Specialist
Posted 5 days ago
Job Viewed
Job Description
Job Title : Data Management Senior Specialist
Work Mode : On-Site
Employment Type : Full-Time
Job Brief
One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.
Responsibilities
Administration Activities :
- Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
- Oversee data management application upgrades, infrastructure changes, and data migrations.
- Plan and execute installation, configuration, deployment, and integration activities.
- Maintain, patch, and upgrade data management applications.
- Monitor and ensure optimal performance of data management applications.
- Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
- Build and maintain strong relationships with business teams and IT service providers.
- Document application functionalities, processes, and maintenance procedures.
ETL & Data Integration :
- Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
- Support and maintain data integration pipelines for periodic and real-time data loads.
- Optimize data processing performance to support near real-time operations.
- Gather business requirements and implement data validation rules.
- Assist data warehouse end-users in understanding and querying data.
- Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
- Implement data quality rules for standardization and cleansing.
- Generate data quality reports and support testing processes.
Qualifications
- Bachelor?s degree in Computer Science or related field.
- 7+ years of experience in data management and information systems.
- Strong knowledge of E&P processes, data management, and SQL Server 2019.
- Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
- Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
- Strong problem-solving and organizational skills.
Why Join Us?
- Work with cutting-edge data management technologies.
- Be part of a highly skilled and collaborative team.
- Opportunity to drive data-driven decision-making.
- Competitive salary, growth opportunities, and a great work environment.
If you?re passionate about data management and technology, we?d love to hear from you!
Application Instructions
If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.
Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!
Data Management Services Business Partner, Gulf & DM Business Analyst - Cash Management Product Insurance Management B.A. - Duales Studium (w/m/d) #J-18808-LjbffrData Management Senior Specialist
Posted 5 days ago
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Job Description
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3 months ago Be among the first 25 applicants
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Job Title : Data Management Senior Specialist
Work Mode : On-Site
Employment Type : Full-Time
Job Brief
One of our esteemed clients is seeking a Data Management Senior Specialist to oversee and maintain data management technologies that support operations and data quality. This role ensures seamless data integration, master data management, and data warehouse environments while maintaining agreed service levels.
Responsibilities
Administration Activities :
- Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
- Oversee data management application upgrades, infrastructure changes, and data migrations.
- Plan and execute installation, configuration, deployment, and integration activities.
- Maintain, patch, and upgrade data management applications.
- Monitor and ensure optimal performance of data management applications.
- Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
- Build and maintain strong relationships with business teams and IT service providers.
- Document application functionalities, processes, and maintenance procedures.
ETL & Data Integration :
- Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
- Support and maintain data integration pipelines for periodic and real-time data loads.
- Optimize data processing performance to support near real-time operations.
- Gather business requirements and implement data validation rules.
- Assist data warehouse end-users in understanding and querying data.
- Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
- Implement data quality rules for standardization and cleansing.
- Generate data quality reports and support testing processes.
Qualifications
- Bachelor?s degree in Computer Science or related field.
- 7+ years of experience in data management and information systems.
- Strong knowledge of E&P processes, data management, and SQL Server 2019.
- Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
- Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
- Strong problem-solving and organizational skills.
Why Join Us?
- Work with cutting-edge data management technologies.
- Be part of a highly skilled and collaborative team.
- Opportunity to drive data-driven decision-making.
- Competitive salary, growth opportunities, and a great work environment.
If you?re passionate about data management and technology, we?d love to hear from you!
Application Instructions
If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.
Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!
Seniority level- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Information Technology
- Industries Professional Training and Coaching
Referrals increase your chances of interviewing at GoWin Coaching by 2x
Sign in to set job alerts for “Data Management Specialist” roles.Manama, Capital Governorate, Bahrain 1 month ago
Business Analyst - Cash Management ProductRiffa, Southern Governorate, Bahrain 1 year ago
Business Analyst - Cash Management Product Insurance Management B.A. - Duales Studium (w/m/d)Saar, Northern Governorate, Bahrain 3 months ago
Manama, Capital Governorate, Bahrain 1 year ago
Riffa, Southern Governorate, Bahrain 1 year ago
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#J-18808-LjbffrData Science Manager
Posted 5 days ago
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Job Description
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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Get notified about new Data Science Manager jobs in Manama, Capital Governorate, Bahrain .
Manama, Capital Governorate, Bahrain 3 weeks ago
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#J-18808-LjbffrData Science Manager
Posted 5 days ago
Job Viewed
Job Description
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.
Job Summary
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.
Key Responsibilities:
Strategy & Leadership
- 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
With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations. #J-18808-Ljbffr
Data Science Manager
Posted 5 days ago
Job Viewed
Job Description
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.
Job SummaryWe 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.
Key Responsibilities: Strategy & Leadership- 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
Graduate Trainee - Data Science
Posted 1 day ago
Job Viewed
Job Description
- Assisting in the collection, cleaning, and preprocessing of large datasets.
- Performing statistical analysis and applying machine learning algorithms under supervision.
- Developing data visualizations to communicate insights and findings.
- Contributing to the development and testing of predictive models.
- Collaborating with cross-functional teams to understand data needs and deliver solutions.
- Learning and applying new data science tools and methodologies.
- Documenting processes, methodologies, and results.
- Participating in team meetings and presenting findings.
- Developing a strong understanding of business problems and how data can solve them.
- Proactively identifying opportunities to improve data processes and analyses.
Graduate Trainee - Data Science
Posted 5 days ago
Job Viewed
Job Description
- Assisting in data cleaning, preprocessing, and feature engineering.
- Developing and implementing statistical models and machine learning algorithms.
- Conducting exploratory data analysis to identify trends and patterns.
- Creating compelling data visualizations to communicate findings.
- Participating in team meetings and contributing to project discussions.
- Learning and applying advanced data analysis techniques and tools.
- Collaborating with mentors to define project objectives and deliverables.
- Developing a portfolio of data science projects.
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Graduate Trainee - Data Science
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Assisting in the collection, cleaning, and pre-processing of large datasets.
- Performing exploratory data analysis to identify trends and patterns.
- Developing and implementing machine learning models under supervision.
- Visualizing data and presenting findings to team members.
- Learning and applying various data science tools and programming languages (e.g., Python, R, SQL).
- Collaborating with cross-functional teams to understand data requirements.
- Contributing to the development of data-driven reports and dashboards.
- Participating in team meetings and knowledge-sharing sessions.
- Researching new data science techniques and methodologies.
- Assisting in the documentation of data processes and model development.
We are seeking candidates who have recently graduated (within the last 12 months) with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. A strong foundation in statistical concepts and programming is essential. Familiarity with data analysis libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) is a significant advantage. Excellent problem-solving skills, attention to detail, and a strong desire to learn are paramount. Good communication and teamwork abilities are also important. This internship provides an exceptional platform to launch your career in the rapidly evolving field of data science and gain invaluable industry experience.
Data Science Graduate Program Lead
Posted 5 days ago
Job Viewed
Job Description
Key responsibilities include:
- Overseeing the design and execution of the graduate data science program, ensuring alignment with company objectives and industry best practices.
- Providing mentorship and technical guidance to graduate data scientists on their projects and career development.
- Developing and delivering training modules on advanced data science techniques, machine learning algorithms, and statistical modeling.
- Facilitating project-based learning experiences, helping graduates apply their skills to real-world business challenges.
- Evaluating the performance and progress of graduate participants, providing constructive feedback.
- Collaborating with hiring managers and HR to identify potential hires from the graduate pool and facilitate their integration into full-time roles.
- Keeping the program curriculum updated with the latest advancements in data science, AI, and machine learning.
- Organizing knowledge-sharing sessions, workshops, and networking events for the graduate cohort.
- Contributing to the company's data science initiatives by advising on research directions and technical challenges.
- Ensuring a positive and productive learning environment for all participants.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science, machine learning, or AI, with a strong track record of success.
- Proven experience in mentoring, coaching, or managing junior data scientists or interns.
- Deep expertise in statistical analysis, predictive modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data visualization.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Familiarity with big data technologies and platforms (e.g., Spark, Hadoop).
- Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to a diverse audience.
- Strong project management and organizational skills.
- A passion for education, talent development, and fostering innovation.
- Understanding of the graduate recruitment and development lifecycle is a plus.
This is a unique opportunity to shape the future data science talent within our organization and contribute to groundbreaking projects.
Data Analytics Instructor - PT
Posted 5 days ago
Job Viewed
Job Description
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.
What do we teach?
- 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
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