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Senior Data Strategy Lead - 2026 World Cup (New York)

Global Sports Analytics Corp
New York
Estimated Salary
USD 160.000 – USD 210.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Be Part of History.

We are seeking a visionary Senior Data Strategy Lead to join our elite team dedicated to the upcoming 2026 FIFA World Cup. In this pivotal role, you will drive the data infrastructure and strategic insights that will power the world's largest sporting event. If you are passionate about transforming complex datasets into actionable strategies that enhance fan experiences and operational efficiency, we want to meet you.

Why Join Us?

  • Work on a project that defines the future of global sports.
  • Competitive compensation package with performance bonuses.
  • Collaborate with industry leaders in a high-impact environment.

Responsibilities

  • Strategic Analytics: Lead the end-to-end analysis of fan behavior, ticketing trends, and venue capacity to optimize logistics for the 2026 event.
  • Predictive Modeling: Develop advanced machine learning models to forecast crowd flow, security risks, and service demand in real-time.
  • Data Integration: Oversee the integration of diverse data sources (IoT, social media, ticketing systems) into a unified analytics dashboard for stakeholders.
  • Stakeholder Communication: Translate complex technical findings into clear, compelling narratives for executive leadership and operational teams.
  • Process Optimization: Identify inefficiencies in current workflows and implement data-driven solutions to streamline event operations.
  • Team Leadership: Mentor junior analysts and foster a culture of innovation and data-driven decision-making.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; Master’s degree preferred.
  • Experience: 5+ years of experience in data science, analytics, or strategic planning, preferably within the sports, entertainment, or large-scale event industry.
  • Technical Skills: Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, PowerBI).
  • Strategic Mindset: Proven track record of using data to solve complex operational challenges.
  • Communication: Exceptional ability to communicate technical concepts to non-technical audiences.
  • Project Management: Experience managing cross-functional teams and tight deadlines in fast-paced environments.

Required Skills

Python SQL Data Visualization Machine Learning Predictive Analytics Big Data Agile Project Management Sports Analytics

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