276 Data Insights jobs in Bahrain

• Collect, process, and analyze performance data from various sources, including video analysis, GPS tracking, and biometric sensors.
• Develop and maintain statistical models to evaluate player and team performance.
• Generate comprehensive reports and visualizations to communicate key findings and recommendations to coaching staff and athletes.
• Identify performance trends, strengths, and weaknesses, providing insights to inform training programs and tactical decisions.
• Collaborate with coaches to set performance benchmarks and monitor progress towards goals.
• Stay abreast of the latest advancements in sports science, performance analysis techniques, and relevant technologies.
• Assist in the scouting and recruitment process by providing objective performance evaluations of potential athletes.
• Contribute to injury prevention strategies through data-driven insights.
• Present findings and insights in clear, concise, and impactful ways to diverse stakeholders.

• Bachelor's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related quantitative field. A Master's degree is preferred.
• Minimum of 4 years of experience in sports performance analysis or a similar role.
• Proficiency in data analysis software (e.g., R, Python, SPSS) and statistical techniques.
• Experience with video analysis software (e.g., Hudl, Dartfish) and GPS tracking systems.
• Strong understanding of sports physiology, biomechanics, and training principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work effectively in a team-oriented environment and manage multiple projects under pressure.
• Passion for sports and a commitment to data-driven decision-making.

• Designing and conducting in-depth statistical analyses of sports performance data.
• Developing predictive models for player performance and game outcomes.
• Creating and maintaining interactive dashboards and reports for coaches and management.
• Identifying key performance indicators (KPIs) and developing new metrics to assess performance.
• Collaborating with technical teams to ensure data integrity and accessibility.
• Presenting findings and recommendations clearly and persuasively to stakeholders.
• Staying current with the latest trends and technologies in sports analytics.
• Mentoring junior analysts and contributing to the team's knowledge base.
• Providing real-time analytical support during events/competitions.

• Lead the design, development, and implementation of advanced analytical models and algorithms.
• Extract and analyze large, complex datasets to identify key consumer trends and behaviors.
• Develop predictive models for customer segmentation, churn prediction, and demand forecasting.
• Create compelling data visualizations and reports to communicate findings to stakeholders.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative environment.
• Collaborate with cross-functional teams to define business problems and translate them into data science solutions.
• Evaluate and implement new data science technologies and methodologies.
• Ensure the quality, integrity, and reliability of data analysis and model outputs.
• Present findings and recommendations to senior leadership.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 2 years in a leadership role.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Expertise in statistical modeling, machine learning techniques, and experimental design.
• Excellent data visualization skills (e.g., Tableau, Power BI).
• Proven ability to manage projects and lead teams effectively.
• Exceptional communication and interpersonal skills, with the ability to convey technical concepts to non-technical audiences.
• Experience in the FMCG industry is a strong advantage.

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.

• Structured training curriculum covering data mining, statistical analysis, data visualization, and predictive modeling.
• Exposure to industry-standard tools and technologies such as SQL, Python, R, and Tableau.
• Hands-on experience working with large datasets to extract meaningful insights.
• Mentorship from senior data professionals who provide guidance and support.
• Opportunity to participate in diverse projects across various business functions.
• Development of strong analytical, problem-solving, and critical thinking skills.
• Learning to present complex data findings in a clear and concise manner to stakeholders.
• Gaining practical experience in data cleaning, transformation, and preparation.
• Understanding of database management principles and data warehousing concepts.
• Exposure to machine learning techniques and their applications.
• Collaboration with cross-functional teams to understand data requirements and deliver solutions.
• Opportunity to contribute to data-driven decision-making processes.
• Development of professional skills, including communication and teamwork.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong academic record with a solid foundation in quantitative analysis.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with SQL for database querying.
• Excellent analytical and problem-solving abilities.
• Good communication skills, both written and verbal.
• Eagerness to learn and a passion for data.
• Ability to work collaboratively in a team environment.
• Attention to detail and a methodical approach to tasks.
• Strong organizational skills and the ability to manage time effectively.

• Assist senior analysts in collecting, cleaning, and processing large datasets from various sources.
• Develop and implement basic data models and algorithms for analytical purposes.
• Create clear and concise data visualizations and reports for stakeholder presentations.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Learn and apply statistical methods and machine learning techniques under guidance.
• Participate in team meetings, brainstorming sessions, and training workshops.
• Contribute to the documentation of data processes and analytical methodologies.
• Gain hands-on experience with industry-standard data analysis tools and software.
• Shadow experienced data professionals to gain comprehensive industry knowledge.

• Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Basic understanding of statistical concepts and data modeling principles.
• Familiarity with programming languages such as Python or R is a plus.
• Proficiency in Microsoft Excel and data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent communication and interpersonal skills, with the ability to present findings clearly.
• Proactive attitude, eager to learn, and a passion for data.
• Ability to work effectively both independently and as part of a team in a Hybrid environment.