Data Analyst II: SQL/Python, Cloud Dashboards & Insights

Astreya Partners Mexico SRLCV; San Jose (CA); Hybrid; MXN 420,000 - 540,000; Full time

Job summary

Astreya is seeking a Data Analyst II to join its analytics team. You will model and analyze structured and unstructured data to develop metrics, reports, and visualizations, ensuring consistency across projects.

You will work closely with development to troubleshoot data issues, create periodic data files, and independently analyze datasets to find efficiency gains. This role requires 5+ years in data analysis and an MBA, with knowledge of SQL, Python, and Google Apps Script.

Qualifications

• Minimum 5 years of experience in data analysis.
• MBA degree required; additional certifications or technical degrees are a plus.
• Bachelor’s degree (B.S/B.A) from four-year college or university and 2–5 years’ related experience or training.
• Strong SQL and Python skills, and hands-on dashboarding experience.
• Experience with Google Apps Script.

Responsibilities

• Create data visualizations.
• Troubleshoot and test database issues with development team.
• Create monthly Excel and Google Sheets files from database.
• Independently analyze data sets to identify opportunities for increased accuracy and efficiency.
• Perform quality assurance on data to determine potential data gaps.
• Assemble large, complex data sets meeting business needs.
• Collaborate with data and analytics experts to improve data systems.
• Other duties as required.

Skills

SQL

Python

Dashboarding

Excel

Apps Script

Education

MBA degree

Bachelor's degree (B.S./B.A.)

Certifications or technical degrees

Tools

Google Apps Script

Job description

Astreya is seeking a Data Analyst II to join its analytics team. You will model and analyze structured and unstructured data to develop metrics, reports, and visualizations, ensuring consistency across projects.

You will work closely with development to troubleshoot data issues, create periodic data files, and independently analyze datasets to find efficiency gains. This role requires 5+ years in data analysis and an MBA, with knowledge of SQL, Python, and Google Apps Script.