201 Data Analytics 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:

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.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language commonly used for data analysis (e.g., Python, R, SQL).
• Familiarity with data visualization tools is a plus.
• Excellent problem-solving and critical-thinking abilities.
• Good communication and presentation skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and develop new skills.

• Assisting senior analysts in collecting, cleaning, and organizing large datasets from various sources.
• Performing data analysis using statistical methods and data visualization tools.
• Identifying trends, patterns, and insights within data to support business objectives.
• Creating reports, dashboards, and presentations to communicate findings to stakeholders.
• Learning and applying various data analysis techniques and software.
• Supporting the development and implementation of data models.
• Collaborating with different departments to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and confidentiality.
• Participating in team meetings and contributing to analytical discussions.
• Completing assigned projects and tasks within specified timelines.

• A Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong academic record and a demonstrated passion for data analysis.
• Proficiency in at least one statistical programming language (e.g., Python, R).
• Familiarity with database querying languages (e.g., SQL).
• Basic understanding of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail and ability to work with large volumes of data.
• Good communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in data collection, cleaning, and preprocessing from various sources.
• Perform exploratory data analysis (EDA) to identify patterns and trends.
• Support the development and validation of statistical and machine learning models.
• Create clear and insightful data visualizations and reports.
• Write and optimize SQL queries for data extraction.
• Collaborate with senior team members on data-driven projects.
• Learn and apply various data analysis tools and techniques.
• Contribute to documentation of data processes and findings.
• Participate in team meetings and present insights from analyses.
• Continuously develop skills in data science and analytics.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering).
• Strong understanding of statistical concepts and analytical methodologies.
• Proficiency in Python or R for data analysis.
• Familiarity with SQL and database querying.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote environment.
• Eagerness to learn and a passion for data science.

• Assist in collecting, cleaning, and processing large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop data visualizations and reports to communicate findings effectively to stakeholders.
• Support the development and implementation of data-driven solutions and strategies.
• Learn and apply statistical methods and machine learning techniques.
• Collaborate with team members on ongoing data analytics projects.
• Participate in training sessions and workshops to enhance technical skills.
• Help in the maintenance and improvement of data quality and integrity.
• Contribute to the documentation of data processes and findings.
• Gain exposure to various analytical tools and programming languages (e.g., Python, R, SQL).

• Recent graduates with a Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is highly desirable.
• Familiarity with database concepts and SQL.
• Excellent communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work independently and as part of a remote team.
• Proactive attitude and a keen attention to detail.
• Understanding of statistical concepts.
• A passion for data and its potential to drive business decisions.