39 Sales Data 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:

• Assist in the collection, cleaning, and preparation of data from various sources for analysis.
• Support the data analytics team in developing and executing data analysis plans.
• Learn and apply statistical methods and data mining techniques to identify trends, patterns, and insights.
• Contribute to the creation of data visualizations and reports to communicate findings effectively to stakeholders.
• Assist in the testing and validation of data models and analytical tools.
• Participate in training sessions and workshops to enhance technical skills and industry knowledge.
• Collaborate with team members on assigned projects, contributing to team goals and objectives.
• Document processes, methodologies, and findings accurately.
• Learn to use various data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Power BI).
• Provide support for ad-hoc data requests and analyses as needed.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, or a related discipline.
• Strong analytical and problem-solving abilities with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with at least one programming language relevant to data analysis (e.g., Python, R, SQL) is a plus.
• Excellent 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.
• Proficiency in Microsoft Office Suite, particularly Excel.
• Proactive attitude and a strong desire to develop a career in data analytics.
• Must be eligible to work in Janabiyah, Northern, BH and able to commit to a hybrid work schedule.

• Participate in intensive training sessions covering fundamental data analytics concepts, tools, and methodologies.
• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical techniques and relevant software tools (e.g., SQL, Python, R).
• Develop data visualizations and dashboards to communicate findings effectively to stakeholders.
• Support senior analysts in developing reports and presentations on data-driven insights.
• Learn and apply principles of data modeling and machine learning under guidance.
• Collaborate with team members on data-related projects, contributing to problem-solving and innovation.
• Gain exposure to different business units and understand how data analytics drives decision-making.
• Contribute to the continuous improvement of data processes and tools.
• Prepare for a potential full-time role within the company upon successful completion of the program.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a closely 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) and SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a team environment.
• A keen interest in data analytics and its business applications.
• Candidates must be eligible to work in the specified location.

• Assist in collecting, cleaning, and preprocessing data from various sources.
• Perform data analysis using statistical methods and tools to identify trends and insights.
• Support the development and maintenance of data models and databases.
• Create visualizations, reports, and dashboards to communicate findings effectively.
• Collaborate with senior data analysts and team members on ongoing projects.
• Learn and apply new data analysis techniques and tools.
• Assist in identifying data quality issues and recommending solutions.
• Contribute to data-driven decision-making processes within the organization.
• Maintain documentation of data processes and analysis methodologies.
• Participate in team meetings and training sessions.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in data manipulation tools such as Microsoft Excel or Google Sheets.
• Basic knowledge of SQL for data querying is required.
• Familiarity with programming languages like Python or R is a strong plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and accuracy.
• Effective written and verbal communication skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.

• Participate in a structured training program covering data analysis methodologies, statistical modeling, and business intelligence tools.
• Assist senior analysts and consultants in collecting, cleaning, and preparing datasets for analysis.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Contribute to the development of reports, dashboards, and visualizations to communicate analytical findings.
• Support the creation of predictive models and algorithms under the guidance of experienced team members.
• Collaborate with project teams to understand data requirements and provide analytical support.
• Learn and apply best practices in data management, data governance, and data security.
• Present findings and insights to team members and project stakeholders in a clear and concise manner.
• Actively seek opportunities for professional development and knowledge sharing within the remote team.
• Engage with clients (under supervision) to understand their business context and data needs.

• 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.
• Strong analytical and problem-solving skills.
• 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) is a plus.
• Excellent communication and interpersonal skills, with the ability to articulate technical concepts clearly.
• Demonstrated ability to work collaboratively in a team environment, including virtual settings.
• Eagerness to learn and adapt to new technologies and methodologies.
• A proactive attitude and a strong work ethic.
• Must be legally authorized to work in Bahrain (or relevant jurisdiction, if applicable for remote work arrangements).

• Comprehensive training in data collection, cleaning, transformation, and visualization.
• Exposure to industry-standard tools and technologies such as Python (Pandas, NumPy, Scikit-learn), R, SQL, and data visualization platforms (e.g., Tableau, Power BI).
• Participation in ongoing data analytics projects, applying learned skills to solve business problems.
• Mentorship from senior data professionals providing guidance and career advice.
• Development of critical thinking, problem-solving, and analytical skills.
• Understanding of data governance, ethics, and best practices.
• Opportunities to collaborate with diverse teams and learn about different business functions.
• Internship project presentations to senior management.
• Potential for future employment opportunities based on performance and business needs.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
• Strong analytical and problem-solving aptitude.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with programming concepts and ideally some exposure to Python or R.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote environment.
• Strong attention to detail and a commitment to producing accurate results.
• A genuine passion for data and its potential to drive business insights.

• Assist in data collection, cleaning, and preprocessing from diverse sources.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and validation of statistical and machine learning models.
• Create data visualizations and reports to communicate findings effectively.
• Collaborate with senior analysts on data-driven projects.
• Learn and apply various data analysis tools and techniques.
• Contribute to the documentation of data processes and methodologies.
• Participate in team meetings and present project updates.
• Assist in maintaining data integrity and quality.
• Gain exposure to business challenges and how data analytics provides solutions.

• Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical methods.
• Proficiency in at least one programming language (e.g., Python, R).
• Familiarity with SQL for database querying.
• Excellent problem-solving skills and attention to detail.
• Good communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.