Global Data and Insights Strategist

WORK OPTION: Hybrid 

The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball.  Built around five professional sports leagues:  the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 214 countries and territories in 60 languages, and merchandise for sale in more than 200 countries and territories on all seven continents.  NBA rosters at the start of the 2023-24 season featured a record 125 international players from 40 countries and territories.  NBA Digital’s assets include NBA TV, NBA.com, the NBA App and NBA League Pass.  The NBA has created one of the largest social media communities in the world, with more than 2.3 billion likes and followers globally across all leagues, team and player platforms.  NBA Cares, the NBA’s global social responsibility platform, partners with renowned community-based organizations around the world to address important social issues in the areas of education, inclusion, youth and family development, and health and wellness. 
 

Position Summary

The Global Data and Insights Strategist will lead the development and execution of comprehensive data-driven strategies to empower global marketing and partnership teams. Reporting to the Senior International Data Strategist, this role encompasses strategic leadership, advanced analytics, cross-functional collaboration, and innovation to drive business growth across international markets. The ideal candidate possesses exceptional technical skills, strategic vision, and a proven ability to manage complex projects and mentor team members.

Major Responsibilities

• Lead the formulation and execution of global data and analytics strategies aligned with business objectives.
• Develop and implement sophisticated data models and analytics initiatives using Python, SQL, and other advanced tools to unlock segmentation insights and predict user behavior.
• Spearhead the introduction and implementation of experimentation frameworks and lead generation strategies across regions to optimize marketing efforts.
• Initiate innovative projects and opportunities that drive engagement, revenue, and operational efficiency across regions.
• Serve as the primary liaison between global marketing teams, regional partners, and external agencies to ensure cohesive and effective execution of campaigns and initiatives.
• Manage and prioritize the data-engineering backlog to ensure timely and aligned delivery of data solutions.
• Oversee data ingestion processes by collaborating with engineering teams to clean, reformat, and integrate diverse data sources into a centralized database.
• Track and report on data ingestion and model performance, delivering actionable insights to stakeholders.
• Manage the international campaign calendar, coordinating the creation, approval, and deployment of email and digital marketing campaigns.
• Act as an account manager for key initiatives, overseeing campaign planning, execution, and performance reporting.
• Develop comprehensive playbooks outlining strategies for fan engagement and data monetization.
• Create engaging user experiences to maximize engagement and lead generation.
• Standardize and develop reporting structures and KPIs across regions, utilizing advanced data tools.
• Analyze campaign engagement and audience metrics to support and secure sponsorship and partnership deals in various markets.
• Monitor and report on the effectiveness of marketing campaigns and data initiatives, providing insights and recommendations for continuous improvement.
• Lead training initiatives for project employees and regional team members, enhancing their proficiency in data analytics tools and platforms (e.g., Snowflake, Braze, Asana).

Required Education/Professional Experience

• Bachelor’s degree in technical or quantitative field preferred
• 3-5 years working in a data analytics role 

Required Skills/Knowledge Attributes

• Proven experience leading cross-functional teams and managing complex, multi-faceted projects across international markets.
• Advanced skills in Excel, SQL, Python. 
• Experience in data modeling, data ingestion processes, and managing large-scale databases.
• Exceptional problem-solving skills with the ability to translate complex data into actionable strategies and insights.
• Experience in developing and implementing effective marketing and data monetization strategies tailored to diverse markets.
• Excellent verbal and written communication skills, ca