Data Quality & Insights Analyst (Hybrid CDMX)

Palo IT; Palo Amarillo; Hybrid; MXN 360,000 - 600,000; Full time

Job summary

PALO IT in CDMX is seeking a Data Analyst to ensure data quality and derive actionable insights for clients. The role sits in a technology consultancy of 400+ experts across nine countries and requires strong analytical skills and technical proficiency.

As a Data Analyst, you will analyze data quality, engage with clients to align on objectives, plan and execute remediation, build dashboards, and validate corrections with a focus on data integrity.

Qualifications

• Strong analytical skills with a data-oriented mindset.
• Proficiency in SQL and Python, plus BI tooling for reporting and visualization.
• 2-4 years of experience in data analysis or related roles.
• Ability to conduct analyses that drive business insights.
• Strong communication and collaboration skills.
• Detail-oriented with a focus on data integrity.

Responsibilities

• Analyze Data Quality: assess vehicle identifier quality, detect inconsistencies, quantify affected records.
• Engage with Clients: participate in meetings to understand identifier use and integration with internal systems.
• Plan Remediation: define tailored remediation plans with actions, owners and priorities.
• Execute Remediation: implement corrections or support client during execution.
• Develop Dashboards: create and maintain data quality dashboards to track indicators.
• Validate Corrections: ensure corrections are implemented at the source and document exceptions.

Skills

SQL

Python

BI Tools

Data Analysis

Communication

Attention to detail

Tools

Databricks

Selenium

Job description

PALO IT in CDMX is seeking a Data Analyst to ensure data quality and derive actionable insights for clients. The role sits in a technology consultancy of 400+ experts across nine countries and requires strong analytical skills and technical proficiency.

As a Data Analyst, you will analyze data quality, engage with clients to align on objectives, plan and execute remediation, build dashboards, and validate corrections with a focus on data integrity.