4 Data Management Roles jobs in Manama
Senior Sports Performance Analyst - Remote Data Strategy
115 Manama, Capital
BHD105000 Annually
WhatJobs
Posted 25 days ago
Job Viewed
Job Description
Our client, a leading organization in the sports industry, is seeking a highly analytical and data-driven Senior Sports Performance Analyst to join their entirely remote team. This role will be instrumental in leveraging data to enhance athletic performance, inform strategic decision-making, and develop innovative training methodologies. You will work closely with coaches, athletes, and sports scientists to collect, interpret, and present complex performance data in a clear and actionable format. The ideal candidate possesses a strong background in sports science, data analytics, and a proven ability to communicate insights effectively within a virtual setting.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and analyze athlete performance data from various sources, including GPS tracking, video analysis, biometric sensors, and physiological tests.
- Develop and implement advanced statistical models and algorithms to identify key performance indicators (KPIs) and trends.
- Create comprehensive reports and visualizations to communicate performance insights to coaches, athletes, and management.
- Collaborate with coaching staff to translate data-driven insights into practical training and tactical recommendations.
- Design and oversee performance testing protocols to monitor athlete development and identify areas for improvement.
- Stay abreast of the latest advancements in sports science, performance analytics, and relevant technologies.
- Identify opportunities for innovation in data collection, analysis, and reporting.
- Maintain the integrity and security of sensitive athlete performance data.
- Develop and deliver training programs for coaches and athletes on data interpretation and utilization.
- Contribute to the strategic planning for performance enhancement programs based on data analysis.
- Evaluate the effectiveness of training interventions and provide feedback for adjustments.
- Build and maintain relationships with technology providers and research institutions.
- Mentor junior analysts and contribute to the growth of the performance analysis department.
- Master's degree in Sports Science, Kinesiology, Data Science, Statistics, or a related field.
- Minimum of 7 years of experience in sports performance analysis, with a proven track record in professional or elite sports environments.
- Expertise in statistical analysis, data mining, and machine learning techniques.
- Proficiency with sports analytics software (e.g., Catapult, StatsBomb, Hudl Sportscode) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of exercise physiology, biomechanics, and training principles.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Excellent verbal and written communication skills, with the ability to present complex data to diverse audiences.
- Proven ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- Familiarity with programming languages such as Python or R is highly advantageous.
This advertiser has chosen not to accept applicants from your region.
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Senior Sports Performance Analyst - Data-Driven Strategy
2101 Al Seef
BHD90000 Annually
WhatJobs
Posted 24 days ago
Job Viewed
Job Description
Our client, a leading professional sports organization, is seeking a highly analytical and data-driven Senior Sports Performance Analyst to join their team. This role is pivotal in leveraging advanced analytics to enhance athlete performance, inform strategic decision-making, and gain a competitive edge. The position requires a blend of on-site collaboration for team interactions and analysis, alongside remote work flexibility for data processing and reporting.
Responsibilities:
Qualifications:
This role offers a unique opportunity to directly impact athletic success through sophisticated data analysis, requiring a presence in the team's facilities while offering remote flexibility, serving the dynamic sports scene in Salmabad, Northern, BH .
Responsibilities:
- Collect, clean, and analyze vast datasets related to athlete performance, training, and game statistics.
- Develop and implement statistical models to identify trends, predict outcomes, and uncover performance insights.
- Create detailed performance reports and visualizations for coaches, athletes, and management.
- Collaborate with coaching staff to translate data insights into actionable strategies for training, game planning, and player development.
- Design and manage performance tracking systems and dashboards.
- Stay current with the latest advancements in sports science, performance analytics, and relevant technologies.
- Assist in the evaluation of player performance during training and competition.
- Contribute to scouting and recruitment processes by providing objective performance assessments.
- Maintain data integrity and ensure the security of sensitive performance information.
- Communicate complex analytical findings clearly and concisely to non-technical stakeholders.
Qualifications:
- Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related quantitative field.
- Minimum of 5 years of experience in sports performance analysis, preferably within a professional sports environment.
- Proven expertise in statistical modeling, data mining, and predictive analytics.
- Proficiency in data analysis tools such as R, Python (with libraries like Pandas, NumPy, Scikit-learn), SQL, and advanced Excel.
- Experience with sports-specific analytics software and tracking technologies (e.g., GPS, video analysis tools).
- Strong understanding of various sports, athlete physiology, and biomechanics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively in a high-pressure, team-oriented environment.
- Detail-oriented with strong organizational and project management skills.
- Ability to work a hybrid schedule, balancing remote data analysis with on-site team integration.
This role offers a unique opportunity to directly impact athletic success through sophisticated data analysis, requiring a presence in the team's facilities while offering remote flexibility, serving the dynamic sports scene in Salmabad, Northern, BH .
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Analyst - Financial Risk Management
1010 Bilad Al Qadeem, Capital
BHD85000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client, a prestigious international bank, is seeking a highly skilled Senior Data Analyst to join its dynamic Financial Risk Management division. This is a completely remote position, allowing you to contribute to critical risk assessments and strategies from anywhere. You will be instrumental in developing and implementing advanced analytical models to identify, measure, and monitor various financial risks, including market risk, credit risk, and operational risk. The role demands a strong blend of statistical expertise, programming proficiency, and a deep understanding of financial markets and banking regulations.
Responsibilities:
Responsibilities:
- Develop, test, and validate sophisticated statistical and machine learning models for financial risk assessment.
- Extract, clean, and transform large datasets from various internal and external sources.
- Perform in-depth data analysis to identify trends, patterns, and potential risk exposures.
- Design and generate insightful reports and dashboards for senior management and regulatory bodies.
- Collaborate with business stakeholders to understand their data needs and translate them into analytical solutions.
- Stay abreast of industry best practices, emerging analytical techniques, and regulatory changes impacting financial risk management.
- Automate data processes and reporting mechanisms to improve efficiency and accuracy.
- Provide expert guidance and mentorship to junior analysts.
- Document methodologies, assumptions, and results of analytical projects.
- Contribute to the enhancement of the firm's risk management framework and data governance policies.
- Master's degree or Ph.D. in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, preferably within the banking or financial services industry.
- Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
- Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
- Solid understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
- Excellent problem-solving skills and the ability to interpret complex data into actionable insights.
- Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
- Experience working in a remote, collaborative team environment.
- Ability to manage multiple projects simultaneously and deliver results under pressure.
This advertiser has chosen not to accept applicants from your region.
2
Remote Lead Data Strategy Manager
BH28 Tubli
BHD120000 Annually
WhatJobs
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a visionary and experienced Lead Data Strategy Manager to architect and execute our data strategy, entirely remotely. This pivotal role demands a strategic thinker with a deep understanding of data governance, data architecture, analytics, and business intelligence. You will be responsible for defining how data is collected, stored, managed, and utilized across the organization to drive informed decision-making and unlock business value. The ideal candidate will have a proven history of developing and implementing successful data strategies in complex environments, coupled with strong leadership and communication skills to inspire and guide remote teams. Key responsibilities include establishing a comprehensive data governance framework, defining data standards and policies, and overseeing the implementation of data management technologies. You will work closely with various business units to understand their data needs, translate them into actionable data initiatives, and ensure data quality, security, and accessibility. This role requires extensive experience in data warehousing, data modeling, ETL processes, and advanced analytics. You will also be responsible for fostering a data-driven culture, promoting data literacy, and identifying opportunities to leverage data for competitive advantage. As a fully remote position, you will utilize advanced collaboration tools and communication strategies to effectively lead and engage your team, regardless of their physical location. This is an unparalleled opportunity to shape the data landscape of our organization and drive significant business impact through strategic data utilization.
Responsibilities:
Responsibilities:
- Develop and implement a holistic data strategy aligned with business objectives.
- Establish and enforce robust data governance policies, standards, and procedures.
- Oversee the design and management of the organization's data architecture and infrastructure.
- Lead initiatives related to data warehousing, data integration, and master data management.
- Drive the adoption of advanced analytics and business intelligence capabilities.
- Collaborate with stakeholders across the organization to identify data needs and opportunities.
- Ensure data quality, security, privacy, and compliance with regulations.
- Foster a data-driven culture and promote data literacy throughout the organization.
- Manage and mentor a remote team of data professionals.
- Evaluate and recommend new technologies and methodologies in the data space.
- Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- 12+ years of experience in data management, analytics, or business intelligence, with at least 5 years in a strategic leadership role.
- Proven experience in developing and executing enterprise-wide data strategies.
- Deep understanding of data governance frameworks (e.g., DAMA-DMBOK).
- Expertise in data architecture, data modeling, ETL, and database technologies.
- Strong knowledge of cloud data platforms (e.g., AWS, Azure, GCP).
- Excellent leadership, communication, and stakeholder management skills.
- Experience leading and managing remote teams.
- Ability to translate complex technical concepts into business value.
This advertiser has chosen not to accept applicants from your region.
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