Live Sports Data Operations Analyst

Cloud Consultancy is an HR and administrative services company that manages staffing and people operations for a portfolio of technology clients across Asia. We handle employment payroll and day-to-day people management on behalf of our clients allowing them to focus on their core business.

We are currently hiring on behalf of one of our technology clients a fast-growing sports data and live event technology company operating across Asia. The client builds and operates real-time data systems for media and streaming platforms and is expanding their operations team with Philippines-based remote staff. All hires will be employed and managed through Cloud Consultancy.

We are looking for senior sports data operations analysts to join our live operations team.

In this role you will monitor real-time soccer and multi-sport data feeds execute operational tasks during live sports events and ensure the accuracy and integrity of data flowing through our systems.

This is a senior precision-focused operations role not a technical support or IT position. You will be working directly with live sports data during active events making real-time decisions based on what you see in the data.

The work requires deep familiarity with sports (especially soccer) a sharp eye for data anomalies and the ability to stay composed during high-pressure live event windows. Candidates who are genuine sports fans particularly soccer will have a natural advantage in this role.

• Monitor live soccer and multi-sport data feeds across multiple concurrent events identifying and escalating anomalies in real time
  
• Execute operational tasks within internal dashboards following defined workflows and event parameters
  
• Take assigned shifts according to the live sports calendar shifts are allocated by sport and competition (e.g. Premier League Champions League NBA)
  
• Maintain accurate activity logs and outcome records throughout each live event window
  
• Coordinate with the data and product teams to report issues and contribute to continuous improvement
  
• Perform quality checks on incoming data from third-party sports data providers
  
• Contribute to building and refining operational playbooks and SOPs as the team scales
  

• 1015 years of experience in sports data data operations or a related operational field
  
• Strong working knowledge of soccer competition formats teams events and data structures
  
• Comfortable handling large volumes of data and working with operational dashboards under time pressure
  
• Available to work evening and late-night shifts according to the live sports calendar
  
• Supervisor or team lead experience you have managed or mentored others in an ops environment
  
• Clear written English for internal reporting and cross-team communication
  
• Self-directed and reliable in a 100% remote setup
  

• Genuine sports enthusiast soccer knowledge is a strong advantage; familiarity with other major sports (basketball tennis) is a plus
  
• Prior experience with sports data providers or real-time event data platforms
  
• Background in fintech sports media or similarly precision-driven data operations
  

This is not a traditional analytics role. Instead you will act as a critical operator and decision-maker responsible for monitoring live sports data feeds ensuring system accuracy and intervening when automated processes require human oversight.

You will play a key role in maintaining the integrity of data that powers live sports products such as streaming platforms analytics tools and fan-facing applications.

• Monitor live sports data feeds across multiple concurrent events (e.g. 10 matches during peak windows)
  
• Oversee performance of AI-driven systems responsible for processing and distributing real-time data
  
• Identify and respond to:
  • Data discrepancies
    
  • System or connectivity failures
    
  • AI model inaccuracies or blind spots
    
• Execute manual or semi-manual interventions to ensure continuity and accuracy of live data
  
• Provide structured feedback and inputs to improve AI model performance over time
  
• Collaborate with technical teams (e.g. DevOps Engineering) to escalate and resolve system issues
  
• Operate effectively in a high-pressure time-sensitive environment tied to live sporting events
  

• 10 years of experience in:
  • Data operations
    
  • Real-time analytics environments
    
  • Trading monitoring or operational control functions
    
• Proven experience in a Team Lead Supervisor or senior individual contributor role
  
• Strong background working within SOP-driven operational environments
  
• Demonstrated ability to:
  • Handle live incidents or system failures
    
  • Make fast accurate decisions under pressure
    
• Comfortable working in shift-based or event-driven schedules
  

• Strong knowledge of sports (especially soccer/football)
  
• Experience in:
  • Sports data platforms (e.g. Opta SofaScore or similar)
    
  • Sports media broadcasting or analytics
    
• Ability to apply domain expertise (sports knowledge) to interpret and validate data
  
• Experience working alongside or interacting with AI/automated systems
  

• Exceptional problem-solving and critical thinking
  
• Ability to identify gaps or anomalies in automated systems
  
• High level of attention to detail and accountability
  
• Strong decision-making under time pressure
  
• Comfortable working with complex systems and large-scale data environments
  

• Real-time operations aligned to live sporting events
  
• Monitoring multiple events simultaneously with focus on exception handling
  
• Requires use of high-performance systems including:
  • Multi-monitor setups
    
  • Live streaming and data platforms
    
• Collaboration with distributed global teams and technical stakeholders
  

• Opportunity to work at the intersection of sports data and AI
  
• Direct impact on live real-world products and user experiences
  
• High ownership role with exposure to cutting-edge real-time systems
  
• Ideal for candidates who thrive in fast-paced mission-critical environments