This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analytics Sênior based in Brazil.

This senior role sits at the heart of a highly data-driven environment, where analytics directly shape product evolution, operational efficiency, and strategic business decisions. You will be responsible for transforming complex datasets into clear, actionable insights that guide leadership and cross-functional teams. The position requires a strong balance between technical depth and business understanding, with constant interaction across product, technology, and operational areas. You will also play a key role in strengthening data quality, governance, and analytical best practices across the organization. Working in a fast-paced digital health ecosystem, you will contribute to improving access, efficiency, and quality in healthcare at scale. This is an opportunity to impact millions of lives through data while helping advance a culture of evidence-based decision-making.

Accountabilities:

Conduct advanced data analyses to generate actionable insights that support business, product, and operational decision-making.

Build, maintain, and optimize dashboards and management reports, ensuring data accuracy, clarity, and usability.

Partner with cross-functional teams to understand business needs and translate them into scalable data solutions.

Ensure data quality, integrity, and reliability across multiple sources, proposing improvements in data pipelines and processes.

Develop analytical models to support forecasting, segmentation, and opportunity identification.

Promote and support a data-driven culture by sharing best practices in analytics, KPIs, and data usage.

Collaborate on strategic initiatives by delivering data-backed recommendations and critical analysis.

Leverage generative AI tools and agents to accelerate query development, automate repetitive analytical tasks, and enhance exploratory analysis.

Requirements:

Solid experience in data analysis within complex environments, preferably in tech, healthcare, or regulated industries.

Strong proficiency in SQL for data extraction, transformation, and analysis.

Experience with data visualization tools such as Power BI, Apache Superset, or Looker.

Knowledge of data modeling and data governance best practices.

Hands-on experience using generative AI tools to support analytics, productivity, and automation workflows.

Familiarity with AI-assisted development tools or autonomous agents (e.g., Claude Code, Codex, or similar).

Ability to translate technical data into clear business insights and storytelling.

Strong analytical mindset, attention to detail, and results orientation.

Excellent communication and collaboration skills with diverse stakeholders.

Differential qualifications:

Experience in healthtech, healthcare, or regulated sectors.

Knowledge of Python or R for statistical and predictive analysis.

Experience with cloud platforms and Big Data environments (AWS, GCP, Azure).

Background in data science or applied machine learning projects.

Experience fostering data-driven culture in organizations.

Advanced use of generative AI and autonomous agents for analytics and pipeline automation.

Benefits:

Monthly flexible benefits card (CAJU) with allocation across food, transport, health, home office, education, and culture categories.

Comprehensive health plan with optional dependent coverage.

Medication support benefit for prescribed treatments.

Access to mental and physical health platforms for online consultations.

Extended maternity and paternity leave policies.

Life insurance coverage for employees and families.

Birthday day off to celebrate personal milestones.

Fitness and wellness partnerships (Totalpass and Wellhub).

Discounts on educational programs and professional development courses.

SESC benefits for leisure, culture, sports, and education.

Optional transportation allowance with payroll discount.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Analytics Sênior

Descrição do Emprego - Data Analytics Sênior

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