Senior Data Analyst (Tableau & Python)

Senior Data Analyst (Tableau & Python)

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.
• 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

• 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