Senior Data Analyst (Tableau & Python)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analyst (Tableau & Python) in Brazil.

This role is part of a fast-paced, enterprise-level analytics environment where data is both highly sensitive and strategically critical.

You will be responsible for transforming complex and large-scale datasets into clear, actionable insights that directly support business decision-making.

The position requires someone comfortable working in ambiguous, evolving environments where analytical direction is not always predefined.

You will operate with a high degree of autonomy while collaborating with engineering and business stakeholders across international teams.

A strong focus is placed on data governance, privacy, and handling confidential information with precision and discretion.

This is a hands-on role where you will build advanced dashboards, perform deep analytical investigations, and communicate findings to leadership.

Your work will directly influence workforce analytics, reporting strategies, and enterprise decision intelligence.

Accountabilities

• Design, build, and maintain advanced Tableau dashboards and enterprise-grade reporting systems that clearly communicate data insights to stakeholders.
• Perform complex data analysis using Python (Pandas, NumPy) and SQL to explore patterns, clean datasets, and execute deep analytical investigations.
• Query and manipulate large datasets in cloud environments such as Snowflake or Google BigQuery, ensuring accuracy and performance in data retrieval.
• Translate raw and complex data into meaningful insights, delivering clear presentations and recommendations to business stakeholders.
• Apply strict data governance and privacy standards when handling sensitive datasets, including HR, compensation, and PII-related information.
• Collaborate with cross-functional teams in an agile environment, adapting to evolving requirements and shifting analytical priorities.

Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Support business decision-making by developing scalable, insightful analytics solutions that address key operational challenges.
  
  

Requirements

• 5+ years of experience as a Data Analyst, with strong exposure to complex, independent analytical projects and enterprise reporting environments.
• Advanced proficiency in Python for data analysis (Pandas, NumPy) and strong SQL skills for data extraction and transformation.
• Extensive experience building dashboards and data visualizations in Tableau at an enterprise level.
• Hands-on experience working with cloud data platforms such as Snowflake or Google BigQuery, preferably in AWS-hosted environments.
• Solid understanding of statistical fundamentals and their application in real-world data analysis.
• Excellent English communication skills, with the ability to present insights clearly to technical and non-technical stakeholders.
• Strong ability to work autonomously in ambiguous environments and deliver results without predefined analytical frameworks.
• Familiarity with HR data, workforce analytics, or sensitive datasets (e.g., payroll, compensation, PII) is highly valued.
• Understanding of data engineering concepts, including APIs and data pipeline workflows, is a plus.
  
  

Benefits

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Competitive full-time compensation (vendor contract model)
• 100% remote work with flexibility across LATAM
• Opportunity to work on high-impact, enterprise-level analytics projects
• International collaboration with distributed, cross-functional teams
• Exposure to large-scale cloud data environments and modern analytics stacks
• Career growth in advanced data analytics and enterprise BI environments
• Flexible collaboration aligned with Central Time (CT) working hours
  
  

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.