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LinkedIn in São Paulo, Brazil, is seeking an Associate for Forecasting & Business Intelligence to join the Planning & Performance team within Go-to-Market Operations. The role focuses on building scalable BI, reporting, and automation to improve visibility into global performance and support executive decision-making.
You will partner with Data & Analytics, Sales GTM Operations, and other teams to translate business needs into scalable data solutions, AI-enabled workflows, and proactive
This role will be based in Sao Paulo, Brazil.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
LinkedIn is searching for Associate, Forecasting & Business Intelligence. This position will sit within the Planning & Performance team, under Strategic Planning & Initiatives, in our Go-to-Market Operations function within LinkedIn Marketing Solutions.
The Associate will play a key role in building scalable business intelligence, reporting, and automation capabilities that improve visibility into global business performance and enable better decision-making. This individual will support and own critical operating rhythms and capabilities, including executive reporting, QBRs, dashboards, and AI-enabled tools and workflows.
In this role, you will partner closely with Data & Analytics, Sales GTM Operations, and other cross-functional teams to translate business needs into actionable insights, scalable reporting solutions, and technology-enabled capabilities. You will help define and improve how we measure business health, strengthen the quality and accessibility of performance insights, and identify opportunities to leverage AI and automation to simplify workflows and enable more proactive business management.
We are looking for someone who combines strong analytical and problem-solving skills with a builder mindset and passion for innovation and continuous improvement. The ideal candidate is energized by translating business problems into data-driven insights and AI-enabled solutions, improving how work gets done through technology, and driving scalable impact across the organization.
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