24 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.

• Intensive training in data manipulation, statistical analysis, data visualization, and reporting tools.
• Exposure to diverse datasets and business challenges across various departments.
• Opportunity to work on meaningful data projects under the guidance of experienced mentors.
• Development of proficiency in programming languages such as Python or R, and database query languages like SQL.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
• Learning to identify trends, patterns, and insights from complex data.
• Understanding of data warehousing concepts and data governance principles.
• Collaboration with cross-functional teams to support data-driven decision-making.
• Presentation of findings and insights to stakeholders.
• Career development support and networking opportunities within the organization.

• Recent graduate 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.
• A strong passion for data analysis and a desire to build a career in this field.
• Basic understanding of statistical concepts and analytical methods.
• Familiarity with programming concepts and eagerness to learn relevant languages like Python or R.
• Excellent problem-solving and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective communication and interpersonal skills.
• Ability to work independently and collaboratively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assist in collecting, cleaning, and transforming data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development of reports, dashboards, and data visualizations.
• Contribute to the building and testing of data models under guidance.
• Learn and apply statistical methods and data analysis techniques.
• Collaborate with team members on data-related projects.
• Document data processes and findings.
• Gain exposure to data analytics tools and platforms.
• Participate in training sessions and team meetings.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with programming languages such as Python or R is a plus.
• Knowledge of database concepts and SQL is advantageous.
• Excellent communication and teamwork abilities.
• Eagerness to learn and a proactive attitude.

Operation

Division

Strategy & Business Development

Location

Closing Date

22-Jan-2025

Zain is the pioneer of mobile telecommunications in the Middle East. We began life in 1983 in Kuwait as the region’s first mobile operator, and since the initiation of our expansion strategy in 2003, we have expanded rapidly. Read more here: Zain Overview .

The responsibilities of a Data Analytics Trainee include analyzing large amounts of raw information to find patterns and analyzing trends to make better business decisions.

1. Assist the team in undertaking data collection, preprocessing and analysis.
2. Support in building models to address a variety of business problems.
3. Present and display information using different data visualization techniques.
4. Support in analyzing large amounts of information to discover trends and patterns.
5. Assist in mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
6. Assess the effectiveness and accuracy of new data sources and data gathering techniques.
7. Support in developing custom data models and algorithms to apply to data sets.
8. Support the team in the development, implementation, and maintenance of databases.
9. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

1. Excellent interpersonal skills.
2. Knowledge of R, SQL, and Python.
3. Familiarity with Scala, Java or C++.
4. Experience using business intelligence tools (e.g. Tableau).
5. Proven ability to work with others successfully within a team.
6. Strong problem-solving skills.
7. Ability to liaise effectively and coordinate successfully with internal and external stakeholders and other third parties.
8. Strong understanding of the operational workings of data analytics elements.
9. Excellent communication, presentation, negotiation, and time management skills.

Bachelor's degree in Data Analytics, Computer Science, or any other related field.

0-2 years' experience.

If you meet the criteria and you are enthusiastic about the role, we would welcome your application. To complete the application, you would need the following document(s):

• Assist in collecting, cleaning, and transforming large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and implementation of machine learning models.
• Help build and test predictive models using statistical techniques.
• Contribute to the creation of data visualizations and reports.
• Collaborate with senior data scientists on various analytical projects.
• Learn and apply new data science tools and technologies.
• Document methodologies, findings, and code.
• Participate in team meetings and contribute to discussions.
• Assist in maintaining and optimizing data infrastructure.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL and database querying.
• Understanding of big data technologies (e.g., Hadoop, Spark) 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.
• Enthusiasm for data science and continuous learning.