Advanced Digital Analytics position focusing on data and insights to improve marketing and user engagement at Brazil's largest health network. Requires expertise in Martech and digital products.
Responsibilities
Structure, evolve, and ensure the measurement, traceability and activation of user journeys.
Define KPIs, generate actionable insights, and lead projects aligned with the team's strategies.
Operate in a scalable, sustainable manner in compliance with the company's data governance.
Maintain a consultative and proactive approach with high autonomy, clear communication and the ability to translate business needs into technical Martech and Digital Journey solutions.
Drive direct impact on performance, conversion, media efficiency and user experience.
Act as the data focal point for Martech and Digital Journeys to guide actions through data, generate insights and lead projects.
Define, monitor and evolve Martech KPIs and metrics such as acquisition funnels, conversion, engagement, retention, LTV, CAC, channel efficiency, ROI, ROAS, user behavior and CRO.
Collaborate with the entire Data team (Platform, Governance, Analytics Engineering and Data Science) in structuring and building the respective layers/modeling, pipelines and information quality.
Connect data from multiple sources (media/ads, CRM, SEO, product, analytics, CDP), ensuring consistency across measurement, visualization and activation.
Work with a CDP (Customer Data Platform – Insider), supporting profile unification, audience activation, journey mapping, channel engagement and A/B testing.
Requirements
Bachelor's degree in Engineering, Statistics, Computer Science, Marketing, Information Systems or related fields.
Experience or active participation in CDP projects (Insider CRM), involving data integration, user unification and audience activation.
Solid experience in Martech and Digital Products, working closely with Marketing teams.
Knowledge of Martech metrics and KPIs: acquisition, conversion, retention, campaign measurement, lifecycle, patient journey, CRO, ROI, ROAS, break-even; experience working with Paid Search, CRM and SEO.
Proficiency in SQL (required) and Python for data analysis at various levels (BigQuery).
Automation of exploratory analyses, statistical modeling, building predictive models and reports using Python libraries such as pandas, scikit-learn or similar.
Experience with data visualization tools (Power BI, Looker Studio).
Experience with cloud environments (GCP, AWS, Azure) using core data services for large-scale modeling, storage and orchestration.
Analytical skills, autonomy, organization and clear communication with different teams, and experience working in agile environments (Scrum, Kanban).
Nice to have:
Knowledge of predictive modeling, clustering, generative AI or NLP applied to product.
Experience defining and implementing digital measurement plans, including event taxonomy, documentation, governance and tracking quality assurance.
Benefits
Food benefits: meal/food allowance or on-site cafeteria (depending on location).
Health benefits: health insurance and life insurance.
Professional development: Universidade Dasa, Development and Career cycle, Technology/PMAX academies and the 'Crescer' growth program within Dasa.
Other: transportation allowance and performance bonus (PPR).
Health program based on five pillars: Spiritual: yoga; Physical: TotalPass, primary care clinic, discounts on exams and vaccinations; Intellectual: Universidade Dasa; Relational: UAU perks club and SESC benefits; Emotional: telepsychology.
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