203 Data Visualization Tools jobs in Bahrain

Company

Gulf Air Group

Division

Information Technology

Location

Department

Information Technology

Closing Date

10-Jun-2025

The Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making.

By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization’s analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.

Conduct data analysis to identify trends, patterns, and correlations.

Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).

Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.

Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.

Prepare and present reports, visualizations, and recommendations to stakeholders.

Assist in data quality assurance activities, including data cleansing and validation.

Support the implementation and maintenance of data analytics tools and platforms.

Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions.

Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.

Adhere to data security, privacy, and compliance policies and regulations.

Technical Responsibilities:

Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau.

Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.

Familiarity with data manipulation and transformation techniques.

Understanding of basic machine learning algorithms and their application in data analytics.

Ability to work with large datasets and perform data cleansing and manipulation.

Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.

Proven experience of at least 2 years in data analytics or a related field

Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.

Proficient in data analysis tools and programming languages.

Excellent communication and presentation skills.

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

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.

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 data collection, cleaning, and transformation.
• Support the development of reports and dashboards.
• Perform exploratory data analysis on various datasets.
• Help identify trends, patterns, and insights within data.
• Assist with ad-hoc data requests from business stakeholders.
• Learn and apply data analysis tools and techniques.
• Collaborate with senior data analysts and team members.

• Currently pursuing a degree in a quantitative field (Data Science, Statistics, etc.).
• Strong analytical and problem-solving abilities.
• Excellent attention to detail.
• Basic understanding of statistics and data concepts.
• Eagerness to learn and develop data analysis skills.
• Good communication and presentation skills.
• Familiarity with SQL, Python, or R is a plus.
• Familiarity with data visualization tools is a plus.

• Assist in collecting, cleaning, and preprocessing large datasets from various sources.
• Learn to perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the creation of dashboards and reports to visualize data and communicate findings.
• Gain exposure to statistical modeling and machine learning techniques.
• Participate in team meetings and contribute to project discussions.
• Develop proficiency in data analysis tools and software (e.g., SQL, Python, R, Tableau).
• Undertake training modules and workshops to enhance your analytical and technical skills.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Follow data governance and quality standards rigorously.

• Immersive training in data analysis tools and techniques, including SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
• Hands-on experience in data cleaning, transformation, exploratory data analysis, and statistical modeling.
• Opportunity to work on diverse projects across various industries, applying analytical insights to solve business problems.
• Mentorship and guidance from senior data analysts and data scientists.
• Development of essential skills in data interpretation, reporting, and presenting findings to stakeholders.
• Exposure to machine learning concepts and their applications in business contexts.
• Collaboration with cross-functional teams in a remote work environment.
• Continuous learning and development opportunities throughout the program.
• Potential for a full-time role upon successful completion of the traineeship.

• 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 keen attention to detail.
• Proficiency in at least one programming language (preferably Python or R) is highly desirable.
• Familiarity with database concepts and SQL is a plus.
• Excellent communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• Self-motivated, proactive, and eager to learn in a fast-paced, remote setting.
• Ability to work independently and manage workload effectively.
• Passion for data and a desire to build a career in data analytics.
• Must have reliable internet access and a suitable remote work setup.

• Assist in collecting, cleaning, and organizing data from various sources.
• Support data analysis and interpretation under the guidance of senior team members.
• Help in developing reports, dashboards, and visualizations to communicate data insights.
• Learn and apply statistical methods and data modeling techniques.
• Contribute to data-driven projects that support business decision-making.
• Familiarize yourself with data analysis tools and software used by the team.
• Participate in team meetings and contribute to discussions.
• Assist in documenting data processes and methodologies.
• Collaborate with other interns and team members on assigned tasks.
• Engage in continuous learning to develop skills in data analytics and related technologies.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a closely related quantitative field.
• Strong analytical and problem-solving abilities.
• A genuine interest in data analysis and its applications.
• Basic understanding of statistical concepts.
• Familiarity with Excel is essential; exposure to SQL, Python, or R is a significant plus.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and a proactive attitude.
• Strong attention to detail.

• Assist in data collection, cleaning, and preparation for analysis.
• Perform data analysis using statistical software and programming languages.
• Develop and maintain data visualizations and dashboards.
• Support senior analysts in identifying trends and patterns in data.
• Contribute to the creation of data-driven reports and presentations.
• Learn and apply various data analytics techniques and methodologies.
• Collaborate with team members on ongoing projects.
• Ensure data accuracy and integrity.
• Participate in training sessions and workshops.
• Adhere to company policies and procedures.

• 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.
• Familiarity with data analysis tools and programming languages such as SQL, Python, or R is a strong asset.
• Basic understanding of statistical concepts.
• Excellent problem-solving abilities and attention to detail.
• Good communication and interpersonal skills.
• Eagerness to learn and develop in a data analytics environment.
• Ability to work both independently and as part of a team.

• Assist in collecting, cleaning, and preparing data from various sources for analysis.
• Support the development of reports and dashboards to visualize key performance indicators (KPIs) and trends.
• Conduct exploratory data analysis to identify patterns, correlations, and potential insights.
• Learn and apply various data analysis techniques and statistical methods.
• Collaborate with senior analysts and business stakeholders to understand data requirements.
• Assist in the interpretation of data findings and contribute to the generation of actionable recommendations.
• Gain exposure to data analytics tools and technologies (e.g., SQL, Python, R, Power BI, Tableau).
• Participate in team meetings, brainstorming sessions, and training workshops.
• Help in documenting data processes, methodologies, and findings.
• Contribute to data quality initiatives and ensure data integrity.
• Support ad-hoc data requests from different departments.
• Develop an understanding of business operations and how data analytics drives decision-making.
• Work towards completing assigned projects and tasks within set timelines.
• Receive mentorship and guidance from experienced data professionals.

• 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 skills.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• Basic understanding of statistical concepts.
• Excellent attention to detail and accuracy.
• Strong written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Prior internship or project experience in data analysis is a plus.
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is beneficial.
• A genuine interest in data and its application in business.