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Senior Data Analyst - 2026 World Cup Infrastructure

Global Sports Analytics Group
Los Angeles
Estimated Salary
USD 140.000 – USD 180.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Senior Data Analyst to join the core infrastructure team supporting the historic 2026 FIFA World Cup in the United States. In this pivotal role, you will leverage advanced statistical modeling and big data technologies to optimize operational efficiency, fan engagement strategies, and venue logistics. You will work at the intersection of sports technology and event management, ensuring data-driven decisions drive the success of the world's largest sporting event.


Why Join Us?

  • Be part of the legacy infrastructure for the 2026 World Cup.
  • Work with cutting-edge data science tools and cloud platforms.
  • Collaborate with cross-functional teams across the US.

Responsibilities

  • Design and implement complex data pipelines to aggregate real-time metrics from multiple venues across the US.
  • Conduct predictive analysis to forecast crowd management, ticketing trends, and transportation flow for the 2026 event.
  • Develop interactive dashboards using Tableau or PowerBI to visualize key performance indicators for executive stakeholders.
  • Ensure data integrity and compliance with international sporting federations' privacy regulations.
  • Lead A/B testing initiatives to optimize digital fan experiences and sponsorship activation.
  • Document data models and analytical frameworks to support future event scalability.

Qualifications

  • 5+ years of experience in data analysis, data science, or business intelligence.
  • Strong proficiency in SQL, Python, and R.
  • Experience with cloud data warehouses (Snowflake, BigQuery) and visualization tools (Tableau, PowerBI).
  • Experience working with large-scale event logistics or smart city data is a major plus.
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Excellent communication skills with the ability to translate technical findings into business strategy.

Required Skills

SQL Python R Tableau PowerBI Snowflake BigQuery Data Modeling Predictive Analytics Event Management Cloud Computing

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