Work Modality: Hybrid

Level: Mid-Level / Level 2

Language: Intermediate English

About the Role

We are looking for a proactive and analytical Data Analyst to join our team. The idóneo candidate will have strong experience working with data analysis, SQL, Python, BigQuery, Azure, and Data Lakes, combined with the ability to translate business needs into clear functional requirements for technical teams.

This role will be responsible for analyzing and validating data, documenting business rules, gathering requirements from stakeholders, and ensuring that delivered data products meet business expectations and quality standards.

Key Responsibilities:

- Perform exploratory and diagnostic data analysis to identify trends, anomalies, patterns, and opportunities for improvement.
- Analyze and interpret large datasets to support business decision-making.
- Develop and maintain SQL queries for data extraction, transformation, validation, and analysis.
- Use Python for data analysis, exploration, and validation.
- Work with BigQuery (BQ) and data stored in Data Lake environments, particularly within Azure ecosystems.
- Document existing business rules, ensuring calculation logic, classification criteria, operational definitions, and data requirements are clearly formalized, versioned, and accessible.
- Gather, analyze, and refine requirements with business stakeholders, translating strategic needs into clear and structured specifications.
- Translate business requirements into functional documentation for technical teams.
- Prepare functional requirements, use cases, acceptance criteria, and business rules to support software and data engineering teams.




- Collaborate closely with technical and engineering teams to ensure solutions are aligned with business expectations.
- Validate the quality, consistency, completeness, and accuracy of data within delivered products.
- Identify data inconsistencies, anomalies, and potential quality issues, and work with relevant teams to resolve them.

Required Qualifications:

- 3+ years of experience as a Data Analyst, Business Data Analyst, or similar role.
- Strong proficiency in SQL.
- Hands-on experience with Python for data analysis.
- Experience working with BigQuery (BQ).
- Experience with Azure data environments.
- Experience working with Data Lakes / Data Lake environments.
- Knowledge of SQL Server.
- Experience performing exploratory and diagnostic data analysis.
- Experience with data quality and data validation.
- Experience gathering and documenting business requirements.
- Ability to translate business requirements into functional specifications and technical documentation.
- Strong understanding of business rules, acceptance criteria, use cases, and data definitions.
- Strong analytical and problem-solving skills.
- Proactive mindset with the ability to work independently and collaboratively.
- Intermediate English proficiency.

Preferred Qualifications:

- Experience working in data-driven transformation or analytics initiatives.
- Experience collaborating with Data Engineers, Software Engineers, Product Owners, Business Analysts, or other technical teams.
- Experience in Agile/Scrum environments.
- Knowledge of data modeling, ETL/ELT processes, and data pipelines.
- Experience with cloud-based data platforms and modern data architectures.

📌 Data Analyst (Ciudad de México)
🏢 The Ksquare Group
📍 Ciudad de México