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BBVA

Data Specialist Manager II

BBVA

. Participate actively in analytics projects and ensure proper execution of the strategic agenda .

Posted 9/23/2026full-timeMexico City • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Advanced Programming with Python and PySpark, alongside proficiency in Business Intelligence tools for developing analytical models and dashboards. Possesses strong analytical capabilities and strategic vision to optimize processes and support business goals through data-driven insights.

Highest-signal resume keywords
Advanced Programming in PythonBig Data Ecosystems KnowledgeBusiness Intelligence Tools ProficiencyAgile Methodologies ExperienceForecasting Models Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Advanced Programming in PythonPySparkAnalytical Model DevelopmentData ProcessingForecasting ModelsPredictive AnalyticsBusiness Intelligence ToolsData AnalysisDashboard DevelopmentBig Data Management
Soft Skills
High Analytical CapabilityStrategic VisionCollaborationLeadershipAbility to Work in High-Demand Environments
Industry Keywords
Agile MethodologiesScrumKanbanData ScienceMathematicsActuarial ScienceEconomicsEngineering

Tech Stack

Tools & technologies
PySparkPython

About the role

Key responsibilities & impact
  • Participate actively in analytics projects and ensure proper execution of the strategic agenda
  • Implement advanced data solutions and analytical models to optimize processes
  • Manage and process large volumes of information using Big Data
  • Develop analytical models and dashboards using Business Intelligence tools
  • Collaborate with and lead multidisciplinary teams under agile methodologies
  • Operate accurately and efficiently in high-demand environments
  • Generate forecasting models that support business goal setting and evaluation of strategic campaign performance

Requirements

What you’ll need
  • Advanced programming in Python and PySpark
  • Knowledge of Big Data ecosystems
  • Proficiency with Business Intelligence (BI) tools
  • Knowledge of forecasting models and predictive analytics is desirable
  • Knowledge of agile frameworks (Scrum/Kanban) is desirable
  • Completed bachelor's degree (Licenciatura) in Mathematics, Actuarial Science, Economics, Engineering, or a related data science field
  • Minimum 3 years of experience developing and managing analytical models and processing massive datasets
  • Intermediate English, B1 level
  • High analytical capability and strategic vision
  • Ability to work with agile methodologies and multidisciplinary teams

Benefits

Comp & perks
  • Hybrid work arrangement
  • Diversity, inclusion, and equal opportunity commitment
  • Reasonable adjustments during the selection process