315 Data Professional jobs in Bahrain

Job Description
VAM Systems
is currently looking for
Finance Data Engineering Analyst
for our
Bahrain
operations with the following skillsets & terms and conditions:

Qualifications :

• Bachelor's Degree
• Engineer (B.E.)/ MCA
• Certification in SQL/SAS

Experience : 5-8 years
Key Objectives

• Support the finance team on data and analytics activities and Dataware House (DWH) based on a profound knowledge of banking, financial reporting, and data engineering.

Analytical/Technical Skills
:

• Understanding finance and risk reporting systems/workflow with previous experience participating in system implementation is desirable.
• Hands-on experience on MS Excel
• Prior project management/stakeholder management is desired

Responsibilities

• Coordinate and Interact with the finance business partner to support daily finance data analysis, hierarchical mappings, and understanding (root cause analysis) of identified data issues.
• Exceptional comprehension of finance, risk, and data warehousing to guarantee accurate and reconciled reporting (e.g., balance-sheet exposure, profit and loss).
• Mastering the Intersection of Finance, Data Analysis and Data Engineering.
• Conduct review of data quality and reconciliations for finance reports and maintenance of reporting logic/programs.
• Support the finance team in ad-hoc requests and organizing data for financial/regulatory reports, data mapping and performing UAT.
• Ensuring the consistency of bank's data architecture, data flows, and business logic in accordance with Data Management guidelines, development standards, and data architecture by working closely with Finance and data Engineering teams to identify issues and develop sustainable data-driven solutions.
• Expertise in writing and documenting complex SQL Query, Procedures, and functions creating algorithms that automate important financial interactions and data controls.
• Experience in handling SAS ETL jobs, data transformation, validation, analysis and performance tuning.
• SAS skillset, with Strong Experience in SAS Management Console, SAS DI, SAS Enterprise Guide, Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, SAS Information Maps, SAS BI, SAS Stored Process, SAS Datasets & Library

Terms and conditions
Joining time frame: days)

• Design and architect end-to-end AI/ML solutions.
• Define AI strategies and roadmaps aligned with business objectives.
• Develop data pipelines for AI/ML model training and deployment.
• Select and configure appropriate AI/ML tools, frameworks, and platforms.
• Guide data engineers and ML engineers in solution development.
• Ensure scalability, performance, and security of AI solutions.
• Collaborate with stakeholders to gather requirements and define use cases.
• Oversee the deployment, monitoring, and maintenance of AI models.
• Evaluate and integrate emerging AI technologies.
• Provide technical leadership and mentorship to AI teams.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 7+ years of experience in AI/ML development and data science.
• Proven experience in architecting and deploying complex AI/ML solutions.
• Expertise in machine learning algorithms, deep learning frameworks, and statistical modeling.
• Strong knowledge of big data technologies and cloud AI platforms (AWS, Azure, GCP).
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication, presentation, and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Experience with MLOps and productionizing AI models.

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.

Data Analytics Lead Instructor

In this immersive course, 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 and Python as the primary tools for analysis. We are looking for an instructor to lead this In-Campus (based in Bahrain) Analytics course. This role is a full-time, temporary position that includes a start and end date for this cohort. There may be potential to receive an additional assignment offering, but additional assignments are not guaranteed.

This role is to be performed on-site, in-campus in Bahrain .

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python.
• 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 5 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.

Preferred

• Experience working in-campus, in-person mentoring or in-person training etc.
• Backgrounds in adult learning, pedagogy and curriculum development
• Background in workshop facilitation and professional development
• Completion of a bachelor's degree or at least 10 years of applicable experience in lieu of a 4-year degree
• At least 2 years of practical experience within the last five years; 3 years preferred.
• Practical experience does not include teaching experience.
• Good moral character and strong decision making abilities
• Language, mathematical, reasoning, and computer skills that assure teaching effectiveness.

RESPONSIBILITIES AND DUTIES

• Teach and facilitate in class instruction based on the schedule proposed in the interview (full-time: Sunday through Thursday 9 AM to 5 PM; different scheduling for part-time)
• Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
• Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.
• Guide students through the development of real world projects that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning complex subjects.
• Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.

General Assembly will cover all travel-related expenses for qualified candidates.

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.

• Structured training curriculum covering data mining, statistical analysis, data visualization, and predictive modeling.
• Exposure to industry-standard tools and technologies such as SQL, Python, R, and Tableau.
• Hands-on experience working with large datasets to extract meaningful insights.
• Mentorship from senior data professionals who provide guidance and support.
• Opportunity to participate in diverse projects across various business functions.
• Development of strong analytical, problem-solving, and critical thinking skills.
• Learning to present complex data findings in a clear and concise manner to stakeholders.
• Gaining practical experience in data cleaning, transformation, and preparation.
• Understanding of database management principles and data warehousing concepts.
• Exposure to machine learning techniques and their applications.
• Collaboration with cross-functional teams to understand data requirements and deliver solutions.
• Opportunity to contribute to data-driven decision-making processes.
• Development of professional skills, including communication and teamwork.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong academic record with a solid foundation in quantitative analysis.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• Excellent analytical and problem-solving abilities.
• Good communication skills, both written and verbal.
• Eagerness to learn and a passion for data.
• Ability to work collaboratively in a team environment.
• Attention to detail and a methodical approach to tasks.
• Strong organizational skills and the ability to manage time effectively.

• Assist senior analysts in collecting, cleaning, and processing large datasets from various sources.
• Develop and implement basic data models and algorithms for analytical purposes.
• Create clear and concise data visualizations and reports for stakeholder presentations.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Learn and apply statistical methods and machine learning techniques under guidance.
• Participate in team meetings, brainstorming sessions, and training workshops.
• Contribute to the documentation of data processes and analytical methodologies.
• Gain hands-on experience with industry-standard data analysis tools and software.
• Shadow experienced data professionals to gain comprehensive industry knowledge.

• Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Basic understanding of statistical concepts and data modeling principles.
• Familiarity with programming languages such as Python or R is a plus.
• Proficiency in Microsoft Excel and data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent communication and interpersonal skills, with the ability to present findings clearly.
• Proactive attitude, eager to learn, and a passion for data.
• Ability to work effectively both independently and as part of a team in a Hybrid environment.

• Intensive training in data analysis tools and techniques, including SQL, Python, R, and data visualization software (e.g., Tableau, Power BI).
• Hands-on experience working with large datasets, identifying trends, and generating actionable insights.
• Exposure to various aspects of the data lifecycle, from data collection and cleaning to analysis and reporting.
• Mentorship from senior data professionals who will guide your learning and career development.
• Participation in team projects, contributing to problem-solving and strategic initiatives.
• Development of crucial soft skills, including communication, teamwork, and presentation abilities.
• Opportunity to explore specialization areas within data analytics, such as machine learning, business intelligence, or data engineering.
• Regular feedback sessions and performance evaluations to support your growth.
• A structured pathway for high-performing trainees to transition into full-time roles upon successful completion of the program.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills, with a demonstrable aptitude for working with numbers and data.
• Basic understanding of programming concepts and experience with at least one programming language (e.g., Python, R) is preferred.
• Excellent communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• High level of motivation, curiosity, and a strong desire to learn about data analytics.
• Ability to work independently, manage time effectively, and collaborate within a remote team environment.
• Must be legally authorized to work in a remote capacity.
• Enthusiasm for the technology sector and a proactive approach to learning.
• Familiarity with statistical concepts and data manipulation techniques.
• Individuals who have graduated within the last 12-24 months are particularly encouraged to apply.