226 Data Visualization Tools jobs in Bahrain

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.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain data visualizations and dashboards to communicate findings.
• Support senior analysts in preparing reports and presentations.
• Learn and apply various data analysis tools and software (e.g., Excel, SQL, Python/R, Tableau).
• Contribute to data quality assurance initiatives.
• Collaborate with team members on analytical projects.
• Participate in training sessions and workshops to enhance analytical skills.
• Document analytical processes and methodologies.
• Seek opportunities to apply learned concepts to business challenges.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is essential.
• Basic understanding of statistical concepts.
• Eagerness to learn and adapt to new technologies and methodologies.
• Good communication and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• Attention to detail and commitment to producing accurate work.
• Previous exposure to programming languages like SQL, Python, or R is a plus.
• A genuine interest in data analytics and its business applications.

• Assist in the collection, cleaning, and preparation of large datasets.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop data visualizations to communicate findings effectively.
• Support senior analysts in developing and implementing analytical models.
• Learn and apply statistical methods and programming languages (e.g., Python, R).
• Contribute to data quality checks and ensure data integrity.
• Collaborate with team members on ongoing data analytics projects.
• Assist in generating reports and presentations of analytical results.
• Participate in training sessions and workshops to enhance technical skills.
• Gain exposure to data warehousing and business intelligence concepts.
• Document analytical processes and methodologies.
• Contribute to a culture of data-driven decision-making.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Strong understanding of basic statistical concepts.
• Familiarity with programming languages like Python or R is a plus.
• Excellent analytical and problem-solving skills.
• High level of attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Enthusiasm for learning and applying new technologies.
• Strong organizational and time management skills.
• Passion for data and its potential to drive business insights.

• Structured training program covering data analysis tools and methodologies.
• Mentorship from senior data analysts and team leads.
• Exposure to diverse datasets and business challenges.
• Opportunity to work on impactful projects that drive business decisions.
• Development of critical thinking, problem-solving, and analytical skills.
• Clear path for career progression within the organization.
• Hands-on experience with data visualization and reporting tools.
• Understanding of statistical modeling and data mining techniques.
• Team collaboration and communication skill enhancement.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative aptitude.
• Excellent problem-solving abilities and attention to detail.
• Good communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Basic understanding of data analysis concepts is preferred, but not essential.
• Familiarity with any programming language (e.g., Python, R) or data visualization tools is a plus.
• Ability to work effectively in a team environment.
• Must be eligible to work full-time in the specified location.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills.
• Excellent understanding of statistical concepts and data analysis principles.
• Familiarity with programming languages like Python or R is a plus.
• Knowledge of SQL for data extraction and manipulation is beneficial.
• High level of attention to detail and accuracy.
• Strong written and verbal communication skills.
• Ability to learn quickly and adapt to new technologies and methodologies.
• Must be self-motivated and able to work effectively in a remote setting.
• Eagerness to pursue a career in data analytics.