Analista de Datos Avanzado | Crecimiento Profesional

Placements24; Mérida; On-site; MXN 420,000 - 620,000; Full time

Benefits offered by this job

Competitive salary

Professional development

Modern office in Mérida

Job summary

Placements24 in Mérida, Yucatán, is seeking an Advanced Data Analyst to transform raw data into actionable insights. You will work with complex datasets, build dashboards, and deliver data-driven recommendations to drive strategic decisions.

The role emphasizes strong SQL skills, visualization proficiency, and collaboration with multiple teams. A solid quantitative background and experience in research/development contexts are valued.

Qualifications

• Bachelor's degree in a quantitative field.
• At least 3 years of experience as a Data Analyst or similar.
• Strong SQL for data extraction and manipulation.
• Experience with Tableau or Power BI.
• Knowledge of Python or R for statistical analysis.
• Excellent analytical and communication skills.

Responsibilities

• Perform complex data analysis to identify trends and patterns.
• Develop and maintain dashboards and reports to track KPIs.
• Collaborate with stakeholders across departments to understand analytical needs.
• Design and execute data queries to extract information from databases.
• Apply statistical methods and modeling techniques to analyze data.
• Communicate findings and recommendations through presentations and reports.
• Assist in developing data models and analytical frameworks.
• Ensure data accuracy and integrity throughout analysis.

Skills

Analytical thinking

Communication skills

Teamwork

Problem-solving

Quantitative skills

Education

BSc in Statistics/Math/CS

Tools

SQL

Tableau

Power BI

Python (pandas)

Job description

Placements24 in Mérida, Yucatán, is seeking an Advanced Data Analyst to transform raw data into actionable insights. You will work with complex datasets, build dashboards, and deliver data-driven recommendations to drive strategic decisions.

The role emphasizes strong SQL skills, visualization proficiency, and collaboration with multiple teams. A solid quantitative background and experience in research/development contexts are valued.