• Develop and structure strategic Demand Generation projects, focusing on automations, development and use of artificial intelligence, enabling channel initiatives (inbound, outbound, events, partnerships, MGM (referral programs), cross-sell) and internal commercial operation projects. • Serve as a bridge between strategy and execution, turning business needs into practical, scalable, data-driven solutions (e.g., process automations, qualification flows, tool integrations, funnel improvements). • Work cross-functionally with stakeholders across different channels and areas, navigating teams such as marketing, sales and operations to ensure alignment on objectives, priorities, scope and project deliveries for the area. • Monitor, analyze and report on Demand Generation performance, tracking funnel metrics, identifying bottlenecks and proposing continuous optimization actions in partnership with the channels. • Support the development of the team’s quarterly and annual plans, contributing analyses, projections, historical learnings and scenario simulations to inform strategic decisions. • Contribute to the evolution of the team’s intelligence by organizing data, structuring analyses, documenting learnings and strengthening governance of metrics, processes and rituals with stakeholders.

• Monitor Revenue vs. Spend at a granular level to ensure the campaign performance and profit targets are being met • Identify accounts where performance is dipping or costs are spiking and proactively flag them • Own the daily pacing reports, ensuring that spend remains optimized for maximum results • Serve as the first point of contact for Client Experience and Media Ops teams • Resolution of daily issues (data discrepancies, campaign performance questions, etc.) • Take complex performance shifts and assist CX and Ops in the translation into client-ready stories • Track the day-to-day results of new strategy pilots • Report back on how new features are behaving to inform future technical iterations

• Support acquisition activities across portfolio of software companies in Latin America • Conduct financial analysis, valuation modeling, due diligence processes, and prepare investment materials • Identify acquisition opportunities, assess financial health of target companies • Contribute to investment memos and presentations for senior leadership • Build and maintain financial models, including DCF, trading comparables, and scenario analyses • Support deal sourcing through industry research and mapping of software markets • Analyze historical financial statements and forecast assumptions • Collaborate with cross-functional teams throughout the diligence process • Perform market and competitor analysis to assess trends and growth opportunities

• Collect, validate, analyze, and integrate information from multiple sources to include qualitative and quantitative primary and secondary data. • Produce client-ready written analytical products that report key findings and conclusions; detailed written analysis with supporting charts, graphs, and visuals; and actionable recommendations that enable private and public sector customers to make informed decisions. • Adhere to and model existing reporting templates to ensure consistency in reporting. • Conduct trend analysis and comparative analysis across time and/or geography. • Understand research design, including sampling and qualitative and quantitative instrumentation such as depth interviews, focus groups, and surveys. • Develop and refine research and analysis methodologies and explore new sources and methods to acquire information in areas of interest. • Conduct systematic secondary research from publicly available sources such as academic databases, news, published books, and journals, and distill key findings. • Proofread and copy edit reporting for inaccuracies, inconsistencies, formatting, grammar, and spelling. • Collaborate with all Research & Analysis team members to exceed client requirements.