6 Data Services jobs in Bahrain
Junior Data Analyst - Financial Services
601 Al Muharraq
BHD45000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
We are looking for a motivated Junior Data Analyst to join our growing team in the financial services sector. This hybrid role offers the best of both worlds, combining essential on-site collaboration and training with the flexibility of remote work. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions. This is an excellent opportunity for an individual with a strong analytical aptitude and a passion for data to kick-start their career in a dynamic industry.
The ideal candidate will have a solid understanding of statistical principles and experience with data analysis tools and languages such as SQL, Python, or R. You should be adept at identifying trends, patterns, and anomalies within data. A key aspect of this role involves creating clear and concise data visualizations and reports for stakeholders across various departments. You will work closely with senior analysts and business leaders to understand data requirements and deliver impactful findings. Attention to detail and a commitment to data accuracy are paramount. This role provides a structured learning environment and opportunities for professional growth.
Responsibilities:
The ideal candidate will have a solid understanding of statistical principles and experience with data analysis tools and languages such as SQL, Python, or R. You should be adept at identifying trends, patterns, and anomalies within data. A key aspect of this role involves creating clear and concise data visualizations and reports for stakeholders across various departments. You will work closely with senior analysts and business leaders to understand data requirements and deliver impactful findings. Attention to detail and a commitment to data accuracy are paramount. This role provides a structured learning environment and opportunities for professional growth.
Responsibilities:
- Collect, clean, and preprocess large datasets from various sources.
- Perform statistical analysis to identify trends, patterns, and anomalies in financial data.
- Develop and maintain databases and data models.
- Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders.
- Assist in the development and implementation of data collection and analysis strategies.
- Collaborate with team members to ensure data accuracy and integrity.
- Support ad-hoc data analysis requests from different business units.
- Identify opportunities for process improvements in data management and analysis.
- Stay updated on industry best practices and new analytical techniques.
- Contribute to team meetings and knowledge sharing sessions.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- 0-2 years of experience in data analysis or a related role.
- Proficiency in SQL for data extraction and manipulation.
- Basic knowledge of programming languages like Python or R for data analysis is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent attention to detail and accuracy.
- Good communication and interpersonal skills.
- Ability to work effectively both independently and as part of a team.
- Enthusiasm for learning and a keen interest in financial markets.
This advertiser has chosen not to accept applicants from your region.
0
Remote Lead Data Scientist - Financial Services
2011 Riffa, Southern
BHD160000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a leader in the financial services industry, is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives. This is a fully remote position, offering the opportunity to drive impactful data-driven strategies from anywhere. You will lead a team of data scientists and analysts, conceptualizing, developing, and deploying sophisticated machine learning models and analytical solutions to address complex business challenges. The ideal candidate possesses a strong quantitative background, extensive experience in statistical modeling, machine learning, and big data technologies, along with proven leadership capabilities.
Key responsibilities include defining the data science roadmap, overseeing the end-to-end development of predictive models, and ensuring the rigorous validation and implementation of these solutions. You will collaborate closely with stakeholders across various departments, including risk management, marketing, and product development, to identify opportunities for leveraging data. Expertise in programming languages such as Python or R, and experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (e.g., AWS, Azure, GCP) are essential. You will be responsible for mentoring team members, conducting code reviews, and fostering a culture of innovation and continuous learning within the data science function. The ability to translate complex analytical findings into actionable business insights and communicate them effectively to diverse audiences is crucial. If you are a strategic thinker with a passion for data science, a proven track record of leading high-performing teams, and seeking a challenging remote role, we encourage you to apply.
Responsibilities:
Key responsibilities include defining the data science roadmap, overseeing the end-to-end development of predictive models, and ensuring the rigorous validation and implementation of these solutions. You will collaborate closely with stakeholders across various departments, including risk management, marketing, and product development, to identify opportunities for leveraging data. Expertise in programming languages such as Python or R, and experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (e.g., AWS, Azure, GCP) are essential. You will be responsible for mentoring team members, conducting code reviews, and fostering a culture of innovation and continuous learning within the data science function. The ability to translate complex analytical findings into actionable business insights and communicate them effectively to diverse audiences is crucial. If you are a strategic thinker with a passion for data science, a proven track record of leading high-performing teams, and seeking a challenging remote role, we encourage you to apply.
Responsibilities:
- Lead and mentor a team of data scientists and analysts.
- Define and execute the data science strategy and roadmap.
- Develop, validate, and deploy advanced machine learning and statistical models.
- Analyze large datasets to identify trends, patterns, and insights.
- Design and implement A/B tests and other experimental designs.
- Collaborate with business stakeholders to understand their needs and translate them into analytical projects.
- Communicate complex findings and recommendations clearly to technical and non-technical audiences.
- Stay current with cutting-edge research and advancements in data science and AI.
- Ensure the quality, integrity, and ethical use of data.
- Contribute to the development of data infrastructure and tools.
- Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 7+ years of experience in data science or advanced analytics, with a proven track record in a leadership role.
- Expertise in statistical modeling, machine learning algorithms, and deep learning techniques.
- Proficiency in programming languages such as Python or R, and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data/ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and stakeholder management skills.
- Experience in the financial services industry is highly desirable.
- Proven ability to lead and inspire a technical team in a remote environment.
This advertiser has chosen not to accept applicants from your region.
1
Remote Administrative Assistant - Data Entry & Support
9127 Southern, Southern
BHD40000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a meticulous and highly organized Remote Administrative Assistant specializing in data entry and general administrative support. This is a full-time, fully remote position, offering a flexible work environment. The successful candidate will be responsible for accurately entering, updating, and managing various types of data within company databases and systems. In addition to data management, you will provide essential administrative assistance to support the operational efficiency of the team. This includes tasks such as managing correspondence, scheduling appointments, preparing documents, and responding to inquiries. The ideal candidate will have exceptional attention to detail, strong typing skills, proficiency with office software, and the ability to work independently and efficiently in a remote setting.
Key responsibilities include:
The ideal candidate will possess a High School Diploma or equivalent; a Bachelor's degree is a plus. Proven experience in data entry and administrative support is required. Excellent typing speed and accuracy, along with proficiency in Microsoft Office Suite (Word, Excel, Outlook) and Google Workspace, are essential. Strong organizational skills, keen attention to detail, and the ability to manage multiple tasks simultaneously are crucial. Effective communication skills and a proactive, self-motivated approach are necessary for success in this remote role. If you are a reliable and detail-oriented administrative professional looking for a remote opportunity, we encourage you to apply.
Key responsibilities include:
- Accurately entering and updating data in various databases and CRM systems.
- Verifying the accuracy and completeness of data records.
- Scanning, organizing, and filing digital documents.
- Managing and responding to emails and other forms of correspondence.
- Scheduling meetings and appointments for team members.
- Preparing and formatting documents, reports, and presentations.
- Assisting with customer inquiries and providing basic support.
- Maintaining and updating contact lists and other essential databases.
- Coordinating with team members to ensure smooth workflow and timely completion of tasks.
- Troubleshooting basic data entry issues and reporting any significant problems.
- Adhering to data privacy and confidentiality policies.
The ideal candidate will possess a High School Diploma or equivalent; a Bachelor's degree is a plus. Proven experience in data entry and administrative support is required. Excellent typing speed and accuracy, along with proficiency in Microsoft Office Suite (Word, Excel, Outlook) and Google Workspace, are essential. Strong organizational skills, keen attention to detail, and the ability to manage multiple tasks simultaneously are crucial. Effective communication skills and a proactive, self-motivated approach are necessary for success in this remote role. If you are a reliable and detail-oriented administrative professional looking for a remote opportunity, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
2
Data Entry Clerk - Administrative Support
50101 Jurdab
BHD25 Hourly
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a meticulous and efficient Data Entry Clerk to provide essential administrative support. This is a remote, part-time position perfect for individuals who excel at accurate data input and possess strong organizational skills. You will be responsible for entering, updating, and maintaining data in various databases and systems. This includes ensuring the accuracy and completeness of information, performing data verification, and assisting with data cleanup projects. The ideal candidate will have excellent typing skills, a keen eye for detail, and the ability to work independently with minimal supervision. Strong computer literacy and familiarity with common office software are essential. You will be expected to adhere to strict data privacy and security protocols. This role requires consistent focus and a commitment to maintaining high standards of data integrity. You will be working with sensitive information, so trustworthiness and reliability are paramount. The ability to manage your time effectively and meet deadlines is crucial for success in this remote capacity. We are looking for a diligent individual who can contribute to the smooth operation of our administrative functions. This position is ideal for those seeking flexible work arrangements. The successful candidate will be provided with all necessary tools and access to our cloud-based systems.
Key Responsibilities:
Key Responsibilities:
- Accurately enter and update data in various databases and software applications.
- Verify the accuracy and completeness of entered data.
- Perform regular data backups to ensure data integrity.
- Identify and correct errors or inconsistencies in data.
- Maintain organized and up-to-date records.
- Assist with data cleanup and migration projects.
- Adhere to data privacy and security policies.
- Respond to data-related inquiries from internal teams.
- Meet established data entry speed and accuracy targets.
- Assist with other administrative tasks as needed.
- High school diploma or equivalent.
- Proven data entry experience or similar role.
- Excellent typing speed and accuracy.
- Proficiency in data entry software and MS Office Suite (Word, Excel).
- Strong attention to detail and accuracy.
- Ability to work independently and manage time effectively.
- Good organizational and record-keeping skills.
- Reliability and a strong work ethic.
- Familiarity with database management is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist - Fintech Solutions
2001 Al Daih, Northern
BHD90000 Annually
WhatJobs
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking an exceptional Lead Data Scientist to spearhead innovative fintech solutions from a remote-first perspective. This role is critical in driving the strategic direction and execution of advanced analytics and machine learning initiatives within our financial services domain. You will be responsible for developing, implementing, and deploying cutting-edge predictive models, algorithms, and data-driven strategies to optimize financial operations, enhance customer experiences, and identify new market opportunities. This includes leveraging large, complex datasets to uncover insights, build robust forecasting tools, and develop sophisticated risk management systems. The Lead Data Scientist will mentor and guide a team of talented data scientists, fostering a culture of continuous learning and technical excellence. You will collaborate closely with product managers, engineers, and business stakeholders to translate business needs into actionable data science projects. Expertise in areas such as fraud detection, algorithmic trading, customer segmentation, and credit scoring is highly desirable. Proficiency in statistical modeling, machine learning frameworks, and big data technologies is essential. The ideal candidate will possess strong programming skills in Python or R, extensive experience with SQL and NoSQL databases, and a deep understanding of cloud platforms (AWS, Azure, GCP). A proven ability to communicate complex technical findings to non-technical audiences is paramount. This is a unique opportunity to make a significant impact on the future of finance through the power of data science, all while enjoying the flexibility of a fully remote role.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models and analytical solutions for financial applications.
- Mentor and manage a team of data scientists, providing technical guidance and fostering professional growth.
- Collaborate with cross-functional teams to define project requirements, develop hypotheses, and deliver actionable insights.
- Develop and maintain data pipelines, ensuring data quality and accessibility for analysis.
- Conduct deep-dive analyses to identify trends, patterns, and opportunities for business improvement.
- Present complex findings and recommendations to senior leadership and stakeholders in a clear and concise manner.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Drive innovation and propose new analytical approaches to solve challenging business problems.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science, with a focus on fintech or financial services.
- Demonstrated experience in leading data science projects and teams.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, and libraries such as scikit-learn, TensorFlow, PyTorch.
- Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, Azure, GCP) and related ML services.
- Excellent problem-solving, analytical, and communication skills.
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Analyst - Financial Risk Management
1010 Bilad Al Qadeem, Capital
BHD85000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a prestigious international bank, is seeking a highly skilled Senior Data Analyst to join its dynamic Financial Risk Management division. This is a completely remote position, allowing you to contribute to critical risk assessments and strategies from anywhere. You will be instrumental in developing and implementing advanced analytical models to identify, measure, and monitor various financial risks, including market risk, credit risk, and operational risk. The role demands a strong blend of statistical expertise, programming proficiency, and a deep understanding of financial markets and banking regulations.
Responsibilities:
Responsibilities:
- Develop, test, and validate sophisticated statistical and machine learning models for financial risk assessment.
- Extract, clean, and transform large datasets from various internal and external sources.
- Perform in-depth data analysis to identify trends, patterns, and potential risk exposures.
- Design and generate insightful reports and dashboards for senior management and regulatory bodies.
- Collaborate with business stakeholders to understand their data needs and translate them into analytical solutions.
- Stay abreast of industry best practices, emerging analytical techniques, and regulatory changes impacting financial risk management.
- Automate data processes and reporting mechanisms to improve efficiency and accuracy.
- Provide expert guidance and mentorship to junior analysts.
- Document methodologies, assumptions, and results of analytical projects.
- Contribute to the enhancement of the firm's risk management framework and data governance policies.
- Master's degree or Ph.D. in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, preferably within the banking or financial services industry.
- Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
- Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
- Solid understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
- Excellent problem-solving skills and the ability to interpret complex data into actionable insights.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote, collaborative team environment.
- Ability to manage multiple projects simultaneously and deliver results under pressure.
This advertiser has chosen not to accept applicants from your region.
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