Senior IT Analyst – Advanced Digital
Dasa
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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Job Level
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata analysispredictive modelingstatistical modelingdata visualizationMartech metricsdigital measurement plansautomationdata integration
Soft Skills
analytical skillsautonomyorganizationclear communicationconsultative approachproactive approachcollaborationleadershipproject managementproblem-solving
Certifications
Bachelor's degree in EngineeringBachelor's degree in StatisticsBachelor's degree in Computer ScienceBachelor's degree in MarketingBachelor's degree in Information Systems