5 Data Services jobs in Bahrain

Cloud Services Specialist (Data Solutions)

Manama, Capital VIVA Bahrain

Posted 25 days ago

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Job Description

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.
Role Impact

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 & Experience

Bachelor’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 Process

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):

#J-18808-Ljbffr
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Graduate Data Analyst - Financial Services

5010 Al Muharraq BHD45000 Annually WhatJobs

Posted 4 days ago

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Job Description

intern
Our client, a leading financial services institution, is excited to offer a hybrid Graduate Data Analyst internship based in Sitra, Capital, BH . This is an exceptional opportunity for recent graduates to gain hands-on experience in data analysis within a dynamic and fast-paced industry. You will work closely with experienced data scientists and analysts, contributing to projects that drive business decisions and enhance customer insights. The role involves collecting, cleaning, and interpreting large datasets to identify trends, generate reports, and support strategic initiatives. This internship is designed to provide a comprehensive understanding of data analytics methodologies and their application in the financial sector.

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.
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. Strong analytical and problem-solving skills are essential, along with a foundational understanding of statistical concepts. Proficiency in Excel and familiarity with data analysis tools or programming languages (e.g., SQL, Python, R) is a plus. Excellent communication and teamwork skills are required. This hybrid role requires a commitment to working on-site in Sitra, Capital, BH for a portion of the week, with flexibility for remote work. This internship offers invaluable experience and a potential pathway to a full-time career in data analytics.
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Junior Data Analyst - Financial Services

501 Galali BHD25 Hourly WhatJobs

Posted 4 days ago

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Job Description

intern
Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their growing team in Sanad, Capital, BH . This internship provides an exceptional opportunity for a motivated individual to gain hands-on experience in data analysis within the dynamic financial services sector. You will work closely with senior analysts and data scientists, contributing to critical projects that drive business insights and decision-making. This role is designed for aspiring data professionals looking to build a strong foundation in data manipulation, visualization, and reporting.

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.
Qualifications:
  • 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.
This is an ideal opportunity for students or recent graduates looking to launch their career in data analytics within a reputable financial institution. Gain invaluable experience and mentorship while contributing to meaningful projects.
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Lead Data Engineer - Insurance Solutions

88741 Seef, Capital BHD120000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time
Our client is seeking an experienced and motivated Lead Data Engineer to join their cutting-edge, fully remote data team. This role is essential for designing, building, and maintaining robust and scalable data pipelines and infrastructure that power our client's advanced analytics and machine learning initiatives within the insurance industry. As a Lead Data Engineer, you will be responsible for architecting data solutions, optimizing data flow, and ensuring the quality and accessibility of data for our data science and business intelligence teams. This is a remote-first position that requires strong leadership, exceptional technical expertise, and a proven ability to collaborate effectively in a virtual environment. You will mentor junior engineers, set technical direction, and drive best practices in data engineering. The ideal candidate will have a deep understanding of distributed systems, data warehousing concepts, and various database technologies. Experience with cloud platforms (AWS, Azure, GCP), big data technologies (Spark, Hadoop), and data pipeline orchestration tools (Airflow, Prefect) is crucial. You will work closely with data scientists, analysts, and software engineers to understand their data needs and build reliable solutions that support their work. Responsibilities include data modeling, ETL/ELT development, performance tuning, and ensuring the security and compliance of data assets. We are looking for a proactive problem-solver with a passion for building high-performance data systems. If you thrive in a remote setting and possess the skills to lead complex data engineering projects, this is an unparalleled opportunity.

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.
Qualifications:
  • 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.
This remote role is crucial for supporting our client's operations impacting the **Seef, Capital, BH** region and beyond.
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Lead Data Scientist - Project Management

701 Muharraq, Muharraq BHD120000 Annually WhatJobs

Posted 4 days ago

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Job Description

full-time
Our client is seeking an experienced Lead Data Scientist to spearhead critical projects within their organization. This pivotal role requires a blend of deep analytical expertise, strategic thinking, and strong project management capabilities. You will lead a team of data scientists and analysts, guiding them through the entire project lifecycle from conceptualization and data acquisition to model development, deployment, and performance monitoring. Your responsibilities will include defining project scope, objectives, and deliverables, ensuring alignment with business goals. You will oversee the application of advanced statistical techniques, machine learning algorithms, and data mining methods to solve complex business problems. This includes developing predictive models, optimizing processes, and generating actionable insights from large datasets. Effective stakeholder management and clear communication of complex technical findings to both technical and non-technical audiences are crucial. You will be responsible for project planning, resource allocation, risk management, and ensuring projects are delivered on time and within budget. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), extensive experience in data science, and a proven ability to lead and mentor data science teams. Expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Spark, Hadoop), and experience with cloud platforms (AWS, Azure, GCP) are required. A strong understanding of project management methodologies is essential.Location: Muharraq, Muharraq, BH
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