Senior Data Analyst (Tableau & Python)

Jobgether • Greater São Paulo Area

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

We are seeking a Senior Data Analyst to transform complex datasets into actionable insights, design advanced dashboards, and communicate findings to leadership. This role requires strong analytical skills, experience with Tableau and Python, and the ability to work autonomously in an ambiguous environment. The ideal candidate will have a strong understanding of data governance, privacy, and handling sensitive information.

Key Highlights

Transform complex datasets into actionable insights

Design advanced dashboards and reports

Communicate findings to leadership

Key Responsibilities

Design, build, and maintain advanced Tableau dashboards and enterprise-grade reporting systems

Perform complex data analysis using Python and SQL to explore patterns, clean datasets, and execute deep analytical investigations

Translate raw and complex data into meaningful insights, delivering clear presentations and recommendations to business stakeholders

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Technical Skills Required

Tableau Python Pandas NumPy SQL Snowflake Google BigQuery

Benefits & Perks

Competitive full-time compensation

100% remote work

Flexibility across LATAM

Opportunity to work on high-impact projects

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Nice to Have

Familiarity with HR data, workforce analytics, or sensitive datasets

Understanding of data engineering concepts, including APIs and data pipeline workflows

Job Description

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.

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