1 618 Data Analytics jobs in Bahrain

• Undergo intensive training in data analysis, statistical modeling, machine learning, and data visualization.
• Work on diverse projects, applying learned skills to solve business challenges across various departments.
• Learn to use programming languages such as Python and R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Develop proficiency in database querying (SQL) and data manipulation techniques.
• Assist in the cleaning, transforming, and preprocessing of large datasets.
• Contribute to the development and validation of predictive models and algorithms.
• Generate reports and visualizations to communicate findings effectively to both technical and non-technical audiences.
• Collaborate with team members, participate in code reviews, and present project progress.
• Gain exposure to cloud platforms and big data technologies.
• Receive mentorship from senior data scientists and career development guidance.

• Recent graduate (within the last 12 months) with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• Strong academic record with excellent grades.
• Demonstrated foundational knowledge of statistical concepts and analytical techniques.
• Basic programming skills in Python or R.
• Familiarity with SQL for database interaction.
• Excellent analytical, critical thinking, and problem-solving abilities.
• Strong written and verbal communication skills.
• Eagerness to learn, a proactive attitude, and a keen interest in data science and analytics.
• Ability to work independently and manage time effectively in a remote environment.
• A portfolio of personal projects or relevant coursework is a plus.

• Comprehensive training in data science methodologies, statistical analysis, and machine learning algorithms.
• Hands-on experience with industry-standard data tools and programming languages (Python, R, SQL).
• Exposure to data visualization tools (e.g., Tableau, Power BI) for creating insightful reports and dashboards.
• Mentorship from senior data scientists and analytics professionals.
• Opportunity to work on challenging real-world data projects.
• Development of problem-solving, critical thinking, and communication skills.
• Understanding of business context and how data drives strategic decisions.
• Networking opportunities with peers and industry leaders.
• Structured learning path with clear progression milestones.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in at least one programming language (Python or R preferred).
• Familiarity with database concepts and SQL.
• Excellent problem-solving abilities and attention to detail.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Ability to work collaboratively in a team and independently.
• A genuine passion for data and its potential to solve business problems.

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.