Conduct advanced data analyses to generate insights that guide business, product, and operational decisions.
Design and maintain dashboards and management reports, ensuring consistency and clarity in data visualization.
Collaborate with business and technology teams to map needs, translating requirements into data solutions.
Ensure the quality, integrity, and reliability of data sources, proposing improvements to processes and information flows.
Develop and apply analytical models to support forecasting, segmentation, and opportunity identification.
Support the evolution of a data-driven culture by promoting best practices in analysis, data usage, and performance metrics.
Work collaboratively on strategic projects, contributing critical analyses and evidence-based recommendations.
Use generative AI agents and tools to accelerate query and analysis creation, optimize exploratory investigations, and automate repetitive analytical tasks.

Proven experience in data analysis in complex contexts (preferably in technology, healthcare, or similar industries).
Proficiency with data visualization tools (Power BI, Apache Superset, or Looker).
Strong knowledge of SQL for data manipulation and extraction.
Experience with data modeling and information governance best practices.
Experience using generative AI tools applied to data analysis, productivity, and automation of analytical tasks.
Familiarity with autonomous agents and AI-assisted development tools, such as Claude Code, Codex, or similar.
Ability to translate technical data into clear narratives and business insights.
Analytical, results-oriented profile with strong attention to detail.
Good communication skills and ability to collaborate with diverse stakeholders.
Previous experience in healthtechs, healthcare companies, or regulated sectors (plus).
Knowledge of Python or R for statistical and predictive analyses (plus).
Experience with Big Data environments and cloud architectures (AWS, GCP, or Azure) (plus).
Participation in data science or artificial intelligence projects (plus).
Active involvement in promoting a data-driven culture within organizations (plus).
Experience using generative AI and autonomous agents to automate analyses and data pipelines (plus).

CAJU card, BRL R$1,059.00 monthly credit distributed across categories: Meals, Groceries, Mobility, Health, Home Office, Culture, and Education;
Health plan AMIL S450 – APTO, with 30% co-payment for consultations and exams and 40% PS; extendable to legal dependents (spouses and/or children up to 24 years), with dependent costs deducted from payroll. Cost per dependent: BRL R$506.86 per person + co-payment.
Omni Saúde: For the purchase of prescription medications. Monthly balance of BRL R$100.00 provided to the employee, exclusively for buying medications prescribed by our Conexa Hospital.
Free access to Conexa and Zenklub platforms, including online consultations for mental and physical health;
Childcare assistance according to regional collective agreement and extended maternity/paternity leave: option to extend maternity leave to 6 months. Paternity leave is 30 days.
SULAMERICA Life Insurance: We want you to feel secure knowing you and your loved ones are protected, no matter what happens.
Birthday day off: Take a day off during your birthday month to celebrate as you wish.
Totalpass and Wellhub: To support your fitness goals.
Course discounts: Conexa offers educational partnerships with various institutions to support your personal and professional development.
SESC benefit: Access to sports, culture, leisure activities, courses, and more with special conditions for employees and dependents.
Transportation allowance: 6% salary deduction if opted in.

Senior Data Analyst

Key skills