92 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.

• In this 24week (part-time) Data Analytics Bootcamp, 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, Python as the tools for analysis.

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, POWER BI and Python Programming.
• 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 3 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.

ESSENTIAL RESPONSIBILITIES AND DUTIES

• Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
• Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills.

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.

Posting date: 10-15-2024

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.

• In this 24-week (part-time) Data Analytics Bootcamp, 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, Python as the tools for analysis.

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI, and Python Programming.
• 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 3 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.

ESSENTIAL RESPONSIBILITIES AND DUTIES

• Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
• Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills.

• Participate in structured training sessions covering data analysis tools and techniques.
• Assist in data collection, cleaning, and preprocessing from various sources.
• Learn to use statistical software and programming languages (e.g., R, Python, SQL) for data analysis.
• Support the development of dashboards and visualizations to present data insights.
• Contribute to ad-hoc data analysis projects as required by different departments.
• Gain exposure to business intelligence tools and methodologies.
• Work collaboratively with team members on data-related tasks and projects.
• Develop foundational skills in data interpretation and reporting.
• Understand data governance principles and best practices.
• Receive mentorship from experienced data analysts throughout the program.
• Present findings and insights from your work to the team.
• Learn about the business context and how data analytics drives strategic decisions.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related analytical field.
• Strong foundational knowledge of statistical concepts and analytical methods.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R) is advantageous.
• Proficiency in Microsoft Excel for data manipulation and analysis.
• Excellent attention to detail and accuracy.
• Strong problem-solving and critical thinking skills.
• Good communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively both independently and as part of a team.
• Understanding of database concepts and SQL is a plus.
• Passion for data and its potential to drive business value.

• Assist in data extraction, transformation, and loading (ETL) processes from various sources.
• Clean, prepare, and validate datasets to ensure accuracy and consistency.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and execute SQL queries to retrieve and manipulate data.
• Create data visualizations and dashboards using tools like Tableau or Power BI to communicate findings.
• Support the development and testing of predictive models and machine learning algorithms.
• Collaborate with team members on data-related projects and initiatives.
• Participate in training sessions and learn new data analytics tools and techniques.
• Document methodologies, processes, and findings.
• Contribute to team meetings and present findings to stakeholders as needed.

• 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 with a solid understanding of statistical concepts.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Experience with SQL for data extraction and manipulation is essential.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
• Excellent problem-solving abilities and a keen eye for detail.
• Strong communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• A genuine interest in data analysis and its application in business decision-making.

• Assist in collecting, cleaning, and pre-processing large datasets.
• Perform statistical analysis and data modeling under supervision.
• Develop data visualizations and dashboards to communicate findings effectively.
• Support the generation of reports and presentations on data insights.
• Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
• Collaborate with team members on data-related projects.
• Participate in training sessions and workshops to enhance analytical skills.
• Contribute to data quality assurance processes.
• Assist in identifying trends, patterns, and anomalies in data.
• Shadow experienced data analysts to gain practical experience.

• 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 problem-solving abilities.
• Proficiency in Microsoft Excel.
• Basic knowledge of programming languages such as Python or R is a plus.
• Familiarity with database concepts and SQL is advantageous.
• Excellent attention to detail and organizational skills.
• Good written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a team environment.

• Assisting senior analysts in data collection, cleaning, and preprocessing from various sources.
• Supporting the development and implementation of data models and algorithms.
• Creating visualizations and reports to communicate findings effectively.
• Performing statistical analysis to identify trends and patterns.
• Collaborating with cross-functional teams to understand data requirements.
• Learning and applying various data analysis tools and techniques.
• Contributing to projects aimed at improving business processes through data insights.
• Participating in regular training sessions and workshops to enhance technical skills.

• Participate in structured training modules covering data analysis techniques, tools, and best practices.
• Assist senior data analysts in collecting, cleaning, and preparing datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Contribute to the development of data models and analytical reports.
• Create data visualizations to effectively communicate findings.
• Collaborate with cross-functional teams to understand business requirements.
• Learn and apply statistical methods and machine learning algorithms.
• Develop proficiency in data analysis software and programming languages (e.g., Python, R, SQL).
• Assist in maintaining data quality and integrity.
• Present findings and insights to project teams and management.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a similar quantitative field.
• Strong analytical, logical reasoning, and problem-solving skills.
• Proficiency in at least one programming language relevant to data analysis (e.g., Python, R, SQL) is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• High level of attention to detail and accuracy.
• Proactive attitude and strong work ethic.
• Eligibility to work in Bahrain.