Data Analyst

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Analyze large volumes of data to uncover trends, patterns, and opportunities.

• Transform business questions and needs into concrete analyses.

• Design and maintain dashboards, reports, and visualizations.

• Define, calculate, and monitor KPIs and business metrics.

• Generate insights and recommendations based on data analysis.

• Conduct exploratory and ad-hoc analyses to address specific business inquiries.

• Identify inconsistencies, quality issues, and areas for improvement in the data.

• Work with various sources of information and perform data extraction, transformation, and preparation processes.

• Participate in defining and documenting metrics and business rules.

• Present results clearly to both technical and non-technical stakeholders.

• Collaborate with Data Engineering, Data Science, Product, Finance, Marketing, Operations, and other departments.

• Contribute to the advancement of the organization's Data Driven culture.

• Propose new metrics, analyses, and visualizations to enhance decision-making.

⛳️ Requirements

• Over 2 years of experience in Data Analytics, Business Intelligence, Reporting, or related roles.

• Strong proficiency in SQL.

• Experience working with visualization and BI tools.

• Proven track record in building dashboards and executive reports.

• Knowledge of data modeling and structure.

• Ability to work with various sources of information.

• Understanding of descriptive statistics and data analysis.

• Capability to interpret metrics and translate them into business conclusions.

• Experience collaborating with stakeholders and gathering requirements.

• Proficiency in Power BI, Tableau, Looker, Qlik, or similar tools.

• Good command of Excel or Google Sheets.

• Familiarity with Python and libraries like Pandas (plus).

• Experience with notebooks and exploratory analysis tools (plus).

• Knowledge of statistical models and predictive analysis (plus).

• Familiarity with dbt or other data transformation tools (plus).

• Understanding of AWS, Azure, or GCP (plus).

• Experience with BigQuery, Snowflake, Databricks, Redshift, or other data platforms (plus).

• Experience in experimentation tools or A/B analysis (plus).

• Knowledge of digital products and product metrics (plus).

• Experience in sectors such as industry, fintech, retail, e-commerce, or logistics (plus).

• Strong analytical thinking and problem-solving skills.

• Curiosity and a desire to understand the reasoning behind the data.

🏝️ Benefits

• Remote work.

• Position also open to individuals with disabilities (PcD).