Data & Analytics Manager

WHO IS INFORMA MARKETS IN THE WORLD? A leading company in international events. We connect people and markets through audience solutions, specialized digital content, hybrid events, and market intelligence, building a journey of relationships and business between companies and markets 365 days a year. We help attract, convert, and engage new clients by combining physical and digital actions, providing relationships, experiences, and business to clients worldwide. In addition, Informa Markets: Is listed on the London Stock Exchange. Is a member of the FTSE 100 (Financial Times Stock Exchange Index), the main asset indicator in the UK. Is part of the Informa Group, a holding company with 06 business divisions (Informa Markets, Informa TechTarget, Informa Festivals, Informa Connect, Taylor & Francis and Global Support). All divisions have the purpose of connecting people and markets through alignment and learning. LEADERSHIP IN LATIN AMERICA AS WELL Informa Markets Latam operates throughout Latin America through offices in São Paulo and Mexico City, organizing and delivering more than 30 hybrid events, 70 digital events, 15 content channels, and news portals, generating connections and business opportunities in over 20 market sectors. The Data and Analytics Manager is a strategic leadership role responsible for driving data-driven decision-making across the organization, with a focus on customer insights, AI, ML, and advanced analytics. This role involves leading a team of analysts and developers to design, implement, and maintain innovative data solutions that empower business teams to achieve their goals. The manager will act as a key driver of digital transformation, leveraging cutting-edge technologies to uncover actionable insights, optimize processes, and enhance customer experiences. Your mission will be lead the development and execution of data strategies that enable the organization to harness the power of data, AI, and ML to uncover customer insights and market opportunities. This role focuses on transforming data into actionable recommendations, fostering a culture of data-driven decision-making, and driving innovation to support Product, Sales, Marketing, and Customer Success teams in achieving their objectives. What You Will Be Doing Lead and mentor a team of analysts and developers, fostering a collaborative and innovative environment. Define team goals, milestones, and priorities, ensuring alignment with organizational objectives. Act as a data ambassador, promoting the adoption of data-driven concepts and digital transformation across the organization. Develop and implement strategies to leverage AI and ML for customer insights, predictive analytics, and process optimization. Analyze large datasets to uncover trends, patterns, and opportunities that drive customer acquisition, retention, and value maximization. Collaborate with business teams to translate insights into actionable recommendations and strategies. Design and execute a comprehensive data strategy that aligns with business goals and drives innovation. Identify and evaluate potential data sources, system improvements, and automation opportunities to enhance efficiency and scalability. Develop self-service frameworks and tools to empower data consumers across the organization. Work closely with Product, Sales, Marketing, and Customer Success teams to understand their needs and deliver tailored data solutions. Provide advanced triage support and issue resolution for stakeholders, ensuring seamless data and system flow. Communicate complex data insights and strategies effectively to senior management and cross-functional teams. Lead the integration of AI and ML technologies into data processes to enhance predictive capabilities and operational efficiency. Drive automation initiatives to streamline manual processes and improve data accessibility. Stay up-to-date with emerging technologies and trends in AI, ML, and analytics to ensure the organization remains at the forefront of innovation. Experience and Skills Relevant experience in data analytics, business intelligence, or related fields, with leadership experience. Strong expertise in AI, ML, and advanced analytics, with a proven track record of implementing innovative solutions. Proficiency in SQL, Python, R, or other programming languages used for data analysis and modeling. Experience with data visualization tools such as Tableau, Power BI, or similar platforms. Solid understanding of relational databases, data architecture, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Strong communication and stakeholder management skills, with the ability to influence and align cross-functional teams. Leadership Qualities A passion for fostering a culture of data-driven decision-making and innovation. Ability to balance strategic vision with tactical execution. Sharp attention to detail and accuracy in all aspects of data management. Strong sense of prioritization and ability to manage multiple projects simultaneously. What We Offer: CLT (Brazilian labor contract) employment. Benefits: Monthly meal voucher (VR), transportation voucher (VT), Health insurance (extended to spouse and children), Life insurance. Profit sharing (PLR). Support Program (psychological, financial, legal, and social guidance). Day-off on your birthday. Training programs (LinkedIn Learning, Coaching, Mentorship, among others). Home office allowance. Total Pass. Building with locker rooms and bike racks. Work location: Pinheiros / São Paulo. Here at Informa, we value diversity and encourage the creation of an inclusive work environment that allows for the exchange of ideas, experiences, and professional development. We are proud to be an Equal Opportunity Employer! We do not discriminate based on race, religion, disability, gender, sexual orientation, gender expression, age, marital status, citizenship, or any other characteristic. We believe in the creative DNA of our teams, who, together, connect people 365 days a year.