**Key Responsibilities**
- Analyze large datasets to identify trends, patterns, and actionable insights
- Write complex SQL queries to extract, manipulate, and validate data
- Use Python for data cleaning, transformation, and automation
- Develop dashboards and reports to support business stakeholders
- Collaborate with cross-functional teams to define KPIs and reporting needs
- Ensure data accuracy and integrity across systems
- Present findings and recommendations to technical and non-technical audiences
**Required Qualifications**
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 2+ years of experience as a Data Analyst or similar role
- Strong proficiency in **SQL** (joins, subqueries, CTEs, performance optimization)
- Solid experience with **Python** (Pandas, NumPy, data visualization libraries)
- Experience working with relational databases (MySQL, PostgreSQL, SQL Server, etc.)
- Strong analytical and problem-solving skills
- Ability to translate data into meaningful business insights
**Nice to Have**
- Experience with BI tools (Power BI, Tableau, Looker)




- Knowledge of ETL processes
- Experience with cloud platforms (AWS, Azure, GCP)
- Basic understanding of statistics and predictive modeling
**What We Offer**
- Competitive salary
- Professional development opportunities
- Collaborative and innovative work environment
- Versátil work arrangements (if applicable)
**Benefits**:
- Competitive family medical, dental, vision, and life insurance
- 3 additional company-paid holidays per year
- 4 days PTO per year
- PTO on your birthday
- Mexican law benefits (15-day Christmas bonus, statutory vacation days, 25% vacation premium)
- Awards and recognition program
Tipo de puesto: Tiempo completo
Sueldo: $40,000.00 - $53,000.00 al mes
Experiência:
- Data Analyst: 5 años (Obligatorio)
- SQL (joins, subqueries, CTEs, performance optimization): 3 años (Obligatorio)
- Python (Pandas, NumPy, data visualization libraries): 3 años (Obligatorio)
Idioma:
- Inglés (Obligatorio)
Lugar de trabajo: Empleo presencial

📌 Data Analyst (Ciudad de México)
🏢 Codifin
📍 Ciudad de México