​​SCU BSP Growth Data​ Analyst

About the team you are joining The Billing and Settlement Plan (BSP) has long been the backbone of agency–airline settlement, processing over USD 230 billion annually and serving as the industry’s most efficient and trusted payment channel. As the travel ecosystem evolves and new distribution and payment models emerge, the BSP is at a pivotal moment. Its share of global passenger sales is declining, signaling the need for a renewed strategic focus to protect its relevance and unlock new growth. To address this inflection point, IATA is launching a BSP Growth Programme built around two pillars: (1) Retention and Growth of BSP Participation, and (2) Product Development and Innovation. This programme aims to strengthen BSP’s competitiveness, expand its value proposition, and secure sustainable long‑term SCU growth across all regions to reach 1 billion transactions by 2030. The SCU BSP Growth Data Analyst will play a central role in providing data insights, performance tracking, and analytical support, enabling the programme to effectively drive SCU growth and retention. What your day would be like - Analyze SCU performance across regions, markets, airlines, and agents, identifying trends, gaps, and growth drivers. - Develop and maintain dashboards, KPIs, and reporting tools to monitor programme performance. - Translate data into actionable insights to support decision-making and prioritization of growth initiatives. - Conduct deep-dive analyses on specific markets, initiatives, or performance issues. - Identify opportunities for SCU growth, including underpenetrated markets, segments, or participants. - Ensure data quality, consistency, and reliability across reporting outputs. - Contribute to the development and enhancement of analytical tools and data models. - Support global and regional teams with data, analysis, and insights to guide execution of growth initiatives. - Collaborate with stakeholders across regions to understand data needs and provide analytical support. - Identify opportunities to improve data processes, automation, and reporting efficiency.