Senior Data Analyst

Legal Management Group; Región Centro; On-site; MXN 600,000 - 1,000,000; Full time

Job summary

Legal Management Group is seeking a Senior Data Analyst to own departmental reporting, automate solutions, and deliver insights that influence leadership decisions. The role blends technical analytics with business strategy, emphasizing dashboard automation and data storytelling.

Responsibilities include building reports, developing automated dashboards in DOMO, and enabling real-time, cross-functional decision support across multiple departments.

Qualifications

• 2–3 years in SQL and Python programming.
• Experience using Google Apps Script for automation.
• Intermediate Excel or Google Sheets expertise (reporting, data transformations, automation, visualizations).
• 1–2 years of experience building dashboards in DOMO (required).
• Familiar with ETL concepts, APIs, and data pipeline logic.

Responsibilities

• Build, maintain, and optimize reports in DOMO, BigQuery, Google Sheets and other analytics platforms for department-level and organizational needs.
• Perform deep-dive analyses to uncover trends, opportunities, and operational risks.
• Translate data into practical insights that support business decisions at all levels.
• Develop automated, interactive dashboards in DOMO, with Looker Studio/Power BI/Tableau as pluses.
• Ensure dashboards are reliable, scalable, and aligned with key performance metrics.

Skills

SQL

Python

Google Apps Script

Excel/Google Sheets

DOMO

Tools

Looker Studio

Power BI

Tableau

Job description

Senior Data Analyst – Job Description

Drive Data-Driven Insights. Automate What Matters. Elevate Performance.

We’re looking for a Senior Data Analyst who can take ownership of departmental and organizational reporting, build automated solutions, and deliver insights that directly support leadership decisions. This role is hands-on—ideal for someone who understands both the technical and business sides of analytics and can turn complex data into meaningful, action-oriented stories.

If you excel in dashboard development, reporting automation, and translating data into strategy, this is your opportunity to create impact across multiple departments.

What You’ll Own & Deliver

Data Reporting & Insights

• Build, maintain, and optimize reports in DOMO, BigQuery, Google Sheets and other analytics platforms for department-level and organizational needs.

• Perform deep-dive analyses to uncover trends, opportunities, and operational risks.

• Translate data into practical insights that support business decisions at all levels.

Dashboard Development

• Develop automated, interactive dashboards in DOMO (required), with additional experience in Looker Studio, Power BI, Tableau, or similar tools considered a plus.

• Ensure dashboards are reliable, scalable, and aligned with key performance metrics.

Data Automation & Workflow Optimization

• Use BigQuery, Google Apps Script, Python, and SQL to automate manual reporting processes and improve data efficiency.

• Build or enhance ETL workflows, API connections, and data pipelines to ensure data accuracy and real-time reporting.

Cross-Functional Collaboration

• Work closely with operations to understand reporting needs and deliver actionable analytics.

• Facilitate your own meetings with stakeholders, presenting insights clearly to both technical and non-technical audiences.

Business Intelligence & Strategic Support

• Support strategic planning through data modeling, forecasting, and historical trend analysis.

• Provide ongoing monitoring of department performance metrics and organizational KPIs.

Who You Are (Skills & Qualifications)

Technical Skills

• 2–3 years in SQL and Python programming, with hands-on experience in building automations or data workflows.

• Experience using Google Apps Script for automation and optimization.

• Intermediate Excel or Google Sheets expertise (reporting, data transformations, automation, visualizations).

• 1–2 years of experience building dashboards in DOMO (required).

• Familiar with ETL concepts, APIs, and data pipeline logic.

Core Skills

• Critical Thinking: Able to assess data in the context of departmental goals, identify insights, and connect the story behind the numbers.

• Analytical Ability: Skilled at relating data points between processes, systems, and operational workflows.

• Communication: Able to articulate technical findings in a clear, concise, and business-friendly manner.

• Presentation Skills: Strong experience creating high-level presentations for leadership; confident in leading discussions and explaining insights.