Sênior Data Analyst

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

This role is designed for a data professional who thrives on transforming complex information into meaningful business insights. You will work with large and diverse datasets, helping teams identify opportunities, solve challenges, and improve decision-making through data. The position combines analytical expertise, technical skills, and business understanding to support impactful initiatives. You will collaborate closely with technical teams, business stakeholders, and data specialists in a dynamic environment. The role offers the opportunity to apply modern data practices, automation, and AI-driven approaches to real-world challenges. You will contribute to building smarter processes, improving data quality, and creating solutions that generate measurable impact. This is an opportunity for someone passionate about innovation, analytics, and using data to drive transformation.

Accountabilities:: The Senior Data Analyst will be responsible for exploring, analyzing, and interpreting complex datasets to generate actionable insights and support strategic decisions. The role requires strong analytical thinking, collaboration with multiple teams, and the ability to translate technical findings into business recommendations.

Analyze large volumes of structured and unstructured data to identify patterns, inconsistencies, opportunities, and areas for improvement.

Perform descriptive, exploratory, and comparative analyses to generate relevant business insights.

Investigate root causes related to data quality, consistency, availability, and operational challenges.

Recommend data-driven solutions to improve processes, operational efficiency, and customer experience.

Support initiatives related to data governance, quality improvement, enrichment, and standardization.

Apply data profiling, sampling, validation, and database comparison techniques.

Develop and support analytical automation initiatives to optimize workflows and accelerate insights generation.

Leverage artificial intelligence concepts, agents, and multi-agent approaches to discover opportunities and support decision-making.

Build analytical reports, dashboards, executive presentations, and materials for leadership teams.

Translate complex analyses into clear, objective, and actionable recommendations.

Document methodologies, processes, hypotheses, analyses, and outcomes in an organized manner.

Collaborate with engineering, data, governance, and business teams to deliver impactful solutions.

Requirements:

The ideal candidate combines strong analytical capabilities with technical expertise in data manipulation, automation, and modern data platforms. Experience working in complex business environments and communicating insights effectively is essential.

Proven experience as a Data Analyst, preferably in medium or large-scale corporate environments.

Strong knowledge of SQL for data querying, manipulation, and analysis.

Experience with Python for data processing, automation, exploration, and analytical workflows.

Experience analyzing large volumes of structured and unstructured data.

Understanding of data modeling, data quality, governance, and data profiling concepts.

Familiarity with cloud environments and modern data platforms.

Ability to create analytical reports, executive presentations, and business materials using tools such as PowerPoint.

Interest or experience with Generative AI, AI agents, multi-agent systems, and modern data analysis techniques.

Strong problem-solving skills and ability to transform business needs into data solutions.

Ability to communicate complex technical topics clearly with both technical and non-technical audiences.

Nice to have:

Experience automating analytical processes and insight generation.

Knowledge of data and AI platforms such as Databricks, Azure, Azure ML, or similar technologies.

Experience with data governance, data quality initiatives, or Master Data Management projects.

Knowledge of Golden Record concepts, data consolidation, deduplication, and enrichment strategies.

Experience with A/B testing, backtesting, hypothesis validation, and comparative studies.

Experience working on projects focused on process improvement, operational efficiency, or customer experience.

Previous collaboration with business, product, or technology teams.

Benefits:

Health and dental insurance.

Meal and food allowance.

Childcare assistance.

Extended parental leave.

Access to fitness, wellness, and health partnerships through Wellhub and TotalPass.

Profit-sharing program.

Life insurance.

Continuous learning platform with professional development resources.

Discounts platform with partner benefits.

Online platforms focused on physical health, mental health, and overall well-being.

Pregnancy and responsible parenting support programs.

Partnerships with online learning platforms.

Language learning platform.

Additional benefits and programs focused on employee growth and well-being.

Work model:

Opportunities for remote work in Brazil.

Hybrid presence required for professionals located in the Campinas metropolitan region, according to the applicable office attendance policy.

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.     #LI-CL1