SENIOR DATA ANALYST

Description

Job Summary: Design, implement, and oversee advanced data analytics strategies to optimize decision-making and ensure data governance. Key Highlights: 1. Design and implementation of advanced data analytics strategies 2. Predictive risk modeling, scoring, and fraud detection 3. Creation of dynamic dashboards and report automation Job Posting SENIOR DATA ANALYST Location: Cuautitlán Izcalli, Mexico Company: Kaby Posted on April 24, 2026 Valid until May 15, 2026 Net Monthly Salary $15,000\.00 \- $16,500\.00 Apply Reference Number: 21121756 Description Design, implement, and oversee advanced data analytics strategies to optimize strategic decision-making, ensuring scalability of information models and enterprise-wide data governance. Work location: Miguel Hidalgo Requirements * Academic level required: Bachelor's degree * Academic status: Degree holder * Required field of study (related fields): Mathematics * Experience: 3 \- 4 years as SENIOR DATA ANALYST * Knowledge and tools: * Language(s): + None * Skills and competencies: + Communication + Stress tolerance + Commitment + Teamwork * Candidate availability: + No travel required Schedule Monday to Friday Full-time 09:00 \- 18:00 Schedule clarification: Mon\-Fri 9 \- 6 and Saturday on-call shifts 10 \- 4 Responsibilities and Activities * "Data Management: Integration, cleansing, and automation of processes using efficient scripts and SQL queries. Advanced Analytics: Predictive risk modeling, scoring, and fraud detection to optimize conversion and retention. Visualization and Monitoring: Creation of dynamic dashboards for key departments (Credit, Collections, Risk) and report automation. Strategic Support: Translation of data into business recommendations and maintenance of data governance." The company offers * STATUTORY BENEFITS * ATTITUDE BONUS * Fixed-term employment contract Recruitment Process * INTERVIEWS \- CV-based interview conducted * Start date of your recruitment process: April 24, 2026 * Recruitment process duration: 1 Week