Data analyst Lead

  • Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
  • Full-Time
  • On-Site

Job Description:

The Analyst will be responsible for building end-to-end analytics solutions and products across different areas. You will work very closely with analytics leadership, data engineering and data architecture to ensure solutions are high quality, robust, scalable and deliver measurable impact. This role also requires strong collaboration with cross-functional teams, including Operations, Marketing, and Finance, to refine data processes and enhance efficiency.


The right candidate will be a highly skilled, hands-on analytics practitioner with strong problem-solving abilities, a proactive mindset, and a collaborative attitude. They should demonstrate a strong sense of ownership and high energy in driving analytical solutions. A solid background in data & analytics is essential, including expertise in advanced analytics, data analysis, visualization, storytelling, and data technologies.


Key Responsibilities (initially from qualifications - should be responsibilities)


Data Collection & Analysis

Gather and analyze data from multiple sources (e.g., internal systems, industry reports, and market research).

Identify performance trends, variances, and potential areas for optimization.

Reporting & Insights

Develop, maintain, and distribute regular performance dashboards and reports for management.

Translate complex data into clear, actionable insights and recommendations.

Collaboration & Process Improvement

Work closely with cross-functional teams (Operations, Marketing, Finance, etc.) to refine data collection and reporting processes.

Evaluate existing workflows and propose data-driven solutions for improved efficiency and accuracy.

Forecasting & Strategic Support

Conduct forecasting and ROI analyses on new initiatives.

Assist in strategic planning by providing scenario modeling and predictive analytics.

Data Integrity & Best Practices

Establish and adhere to best practices for data management, ensuring data accuracy, consistency, and reliability.