22 Test Data Analysis 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 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.

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Job Purpose

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.

Job Purpose

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.

Key Accountabilities

• 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.
  
  

• 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.
  
  

• Resume/CV
• Passport-size photograph

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Airlines and Aviation

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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):

• Assisting senior analysts in data collection, cleaning, and preparation.
• Performing statistical analysis and identifying trends and patterns within data.
• Developing reports and visualizations to communicate findings effectively.
• Learning and applying various data mining and machine learning techniques.
• Collaborating with cross-functional teams to understand business requirements and data needs.
• Participating in training sessions and workshops to enhance technical skills.
• Contributing to the development of data-driven strategies.
• Testing and validating analytical models.
• Ensuring data integrity and accuracy throughout the analysis process.
• Supporting the team in ad-hoc data requests and research.

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Collaborate with senior analysts to perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and implement statistical models and machine learning algorithms to solve business problems.
• Utilize data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards and reports.
• Contribute to the development of predictive models and forecasting techniques.
• Participate in cross-functional projects, applying analytical techniques to understand customer behavior, market trends, and operational efficiency.
• Learn and apply best practices in data governance, quality assurance, and data security.
• Present findings and recommendations to team members and project stakeholders.
• Engage in continuous learning, staying updated with the latest advancements in data science and analytics.
• Provide support for ad-hoc data analysis requests as needed.
• Contribute to documentation of processes, methodologies, and findings.
• Gain exposure to the full data lifecycle from data ingestion to actionable insights.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in programming languages commonly used in data analysis, such as Python or R.
• Familiarity with database concepts and SQL.
• Basic understanding of statistical modeling and machine learning concepts.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship experience in a related field is a plus but not required.
• A passion for data and its potential to drive business value.
• Proactive and self-motivated approach to work.

• Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support the development and implementation of data models and algorithms.
• Create compelling data visualizations and reports to communicate findings to stakeholders.
• Learn and apply statistical methods and analytical techniques.
• Collaborate with team members on data-related projects and initiatives.
• Participate in training sessions and workshops to enhance technical skills.
• Contribute to documentation and knowledge sharing within the data analytics team.
• Help maintain data quality and integrity across different systems.

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, obtained within the last 12 months.
• 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).
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Basic knowledge of databases and SQL.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.