Job Description: Requirements * Senior-level experience in Martech, Analytics, Data Science, or Growth (SaaS preferred). * Proficiency in concepts such as MQL, PQL, and SQL. * Knowledge and proficiency in analyzing SaaS metrics (MRR, NMRR, Booking, Churn, etc.). * Ability to build executive and tactical reports. * Proficiency in data visualization tools (Power BI, Metabase, Looker Studio, Google Analytics, or similar). * Proficiency in Google Analytics. * Proficiency in SQL. * Proficiency in building and maintaining data pipelines. * Strong knowledge of Python and data process automation. * Data integration across platforms via APIs and web scraping. * Hands-on experience in customer data analysis and modeling (RFV — Recency, Frequency, Value; LTV — Lifetime Value; DDA — Data-Driven Attribution; Incremental Revenue; Cohorts). * Knowledge of statistical programming languages for deeper, statistically rigorous data analysis. * Practical experience with A/B testing, experimentation methodologies, and applied statistics. * Ability to document, standardize processes, and manage cross-departmental projects. * Strategic perspective on metrics, translating analyses into actionable business recommendations. * Prior experience in marketing. Preferred Qualifications * Experience redesigning lead/user qualification metrics. * Projects involving CRM replacement, integration, or migration. * Advanced knowledge of AI applied to marketing. * Hands-on experience with tools such as Metabase, Mixpanel, Amplitude, or other Marketing/Product Analytics platforms. * Prior experience with CRM, customer data analysis, and analytical visualization/modeling tools. * Certifications in information security, LGPD, or compliance practices. * Prior experience or knowledge of the Scala programming language. * Building, maintaining, and automating strategic multichannel dashboards for performance monitoring and executive decision-making. * Developing and implementing advanced attribution models covering conversion journeys and campaign impact. * Supporting tests (A/B, incremental, funnel) and growth squads with analytical, methodological, and statistically rigorous insights. * Standardizing data routines and integrations, creating clear documentation for teams and partner departments. * Ensuring an integrated and accurate view of the user journey—from acquisition through conversion, engagement, and retention. * Monitoring key business metrics (MQL, PQL, Trials), translating data into actionable insights and recommendations. * Working on data integration and manipulation using SQL, Python, APIs, automation, and cloud platforms. * Leading the marketing interface with Data, BI, Engineering, and Information Security teams—orchestrating shared backlogs, demands, projects, and priorities. * Exploring AI and automation to optimize marketing processes. * Ensuring adherence to best practices in security, privacy (e.g., LGPD), and data governance. 2512070202191909385