Analista de Datos Junior en Hermosillo: Proyectos Reales

Placements24; Hermosillo; On-site; MXN 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Hands-on experience with real-world数据

Professional development and training

Career advancement possibilities

Collaborative andMentorship

Job summary

WhatJobs Direct is seeking a data-driven Junior Data Analyst to join their Hermosillo team. You will work with large datasets, extract insights, and help shape data-informed decisions across departments.

This role requires a strong quantitative background and practical experience with SQL, Python or R, and data visualization. You will collaborate with IT and other teams, ensure data accuracy, and stay current with new analytics techniques.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field.

Responsibilities

• Collect, clean, and process data from various sources.
• Analyze datasets to identify trends, patterns, and correlations.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Create reports, dashboards, and visualizations to communicate findings to stakeholders.
• Support business units in understanding their data and making data-driven decisions.
• Assist in designing and conducting A/B tests and other experiments.
• Collaborate with IT and other teams on data-related projects.
• Ensure data accuracy and integrity.
• Stay updated with the latest data analysis techniques and tools.

Skills

Analytical thinking

Attention to detail

Spanish communication

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Tools

SQL

Python (Pandas, NumPy)

R

Tableau

Power BI

Job description

WhatJobs Direct is seeking a data-driven Junior Data Analyst to join their Hermosillo team. You will work with large datasets, extract insights, and help shape data-informed decisions across departments.

This role requires a strong quantitative background and practical experience with SQL, Python or R, and data visualization. You will collaborate with IT and other teams, ensure data accuracy, and stay current with new analytics techniques.