5 Data Services jobs in Bahrain
Cloud Services Specialist (Data Solutions)
Posted 25 days ago
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Job Objective
Lead the development and management of cloud-based data-driven solutions, leveraging on AWS partnership to create impactful customer offerings. The role will also involve collaboration with the presales team to design and position innovative products and solutions for our customers.
Job Specifications- Identify, define, and prioritize cloud-based products with a focus on data solutions.
- Lead the design, development, and deployment of scalable data products and services.
- Develop strategies to address key customer pain points in data storage, processing, and analysis.
- Partner with engineering teams to ensure the successful execution of the product roadmap.
- Collaborate with the presales team to create tailored cloud solutions for customers, focusing on AWS opportunities.
- Act as the primary technical advisor during client engagements, highlighting the unique value of proposed solutions.
- Engage with customers to understand their data challenges and align solutions to their needs.
- Conduct competitive analysis to identify opportunities for AWS related products and services.
- Gather feedback to refine and enhance product offerings.
- Perform other responsibilities as required by higher levels of supervision.
The Product Specialist for Cloud-based data-driven solutions plays a crucial role in driving the adoption and success of our innovative product offerings.
By leveraging deep technical expertise and understanding of market trends, this role will directly impact the development and enhancement of our product offerings.
By collaborating with cross-functional teams including engineering, marketing, and sales, the Product Specialist ensures that our products will meet market demands, enhance customer satisfaction, and contribute to the overall growth of the organization.
Technical Expertise : Deep understanding of Cloud technologies.
Market Awareness : Knowledge of industry trends and competitive landscape related to cloud-based data driven solutions.
Communication : Excellent verbal and written communication skills to effectively convey complex technical concepts to non-technical stakeholders.
Problem-Solving : Strong troubleshooting abilities to identify issues and provide timely solutions.
Collaboration : Experience of working in cross-functional teams and fostering a collaborative work environment.
Qualification & ExperienceBachelor’s degree in Business Administration, Engineering, IT or any other relevant field.
Certification:
AWS Certified Solutions Architect – Professional
Minimum 8 years of relevant experience
About Application ProcessIf 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):
#J-18808-LjbffrGraduate Data Analyst - Financial Services
Posted 4 days ago
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Key Responsibilities:
- Assist in collecting, organizing, and cleaning large datasets from various sources.
- Perform data analysis using statistical techniques and data visualization tools.
- Generate reports and dashboards to present findings to stakeholders.
- Support senior analysts in developing predictive models and analytical frameworks.
- Identify patterns and trends in financial data to provide actionable insights.
- Collaborate with cross-functional teams to understand data needs and requirements.
- Contribute to the development and maintenance of data quality standards.
- Learn and apply new analytical tools and methodologies.
- Assist in preparing presentations and documentation for data-driven projects.
- Ensure data integrity and accuracy throughout the analysis process.
Junior Data Analyst - Financial Services
Posted 4 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and generation of regular and ad-hoc reports and dashboards.
- Create clear and insightful data visualizations to communicate findings effectively.
- Collaborate with team members to understand data requirements and deliver requested analysis.
- Help in validating data accuracy and integrity.
- Learn and apply statistical techniques to analyze data.
- Assist in documenting data processes and methodologies.
- Gain exposure to data analysis tools and technologies used within the financial industry.
- Participate in team meetings and contribute ideas for improving data processes.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Proficiency in at least one data analysis tool or programming language such as SQL, Python (with libraries like Pandas, NumPy), or R is highly desirable.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent 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.
- Prior internship or project experience in data analysis is a plus.
Lead Data Engineer - Insurance Solutions
Posted 4 days ago
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Job Description
Responsibilities:
- Design, develop, and maintain scalable data pipelines and infrastructure.
- Architect robust data solutions leveraging cloud platforms and big data technologies.
- Optimize ETL/ELT processes for performance and efficiency.
- Implement data governance and security best practices.
- Collaborate with data scientists and analysts to understand data requirements.
- Mentor and lead a team of data engineers in a remote setting.
- Ensure data quality, reliability, and availability.
- Manage data warehousing solutions and database systems.
- Stay current with emerging data engineering technologies and methodologies.
- Effectively contribute and lead within a fully remote operational framework.
- Master's or Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in data engineering, with significant experience in insurance or financial services.
- Strong experience with cloud data services (e.g., AWS Redshift, S3, Glue; Azure Data Factory, Synapse; GCP BigQuery, Dataflow).
- Proficiency in programming languages like Python, Scala, or Java.
- Expertise in SQL and NoSQL databases.
- Hands-on experience with big data processing frameworks (e.g., Apache Spark).
- Experience with workflow management tools (e.g., Apache Airflow).
- Proven leadership and team mentoring capabilities.
- Excellent communication and problem-solving skills, adapted for remote collaboration.
Lead Data Scientist - Project Management
Posted 4 days ago
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