Analista Ejecutivo

The Big Jobsite; Monterrey; Hybrid; MXN 1,800,000 - 2,400,000; Full time

Job summary

The Big Jobsite, a leading financial services firm based in Monterrey, invites a Director of Financial Data Analytics to drive strategic data initiatives in a hybrid role combining on-site leadership with remote analytics exploration.

You will oversee a team of data analysts and data scientists, develop advanced statistical models, ensure data integrity, and present actionable insights to senior leadership to shape financial strategy and efficiency.

Qualifications

• Master's degree in Data Science, Statistics, Economics.

Responsibilities

• Lead the development and implementation of advanced financial data analytics strategies.
• Oversee the extraction, transformation, and loading (ETL) of large financial datasets.
• Develop and refine statistical models and machine learning algorithms for financial forecasting and risk assessment.
• Create compelling data visualizations and dashboards to communicate complex insights to stakeholders.
• Identify key performance indicators (KPIs) and develop reporting mechanisms to track financial health and operational efficiency.
• Collaborate with cross-functional teams (e.g., finance, operations, marketing) to understand their data needs and provide analytical support.
• Manage and mentor a team of data analysts and data scientists, fostering their professional growth.
• Stay abreast of the latest trends and technologies in data analytics, big data, and financial technology.
• Ensure data accuracy, integrity, and security across all financial data systems.
• Present findings and strategic recommendations to senior leadership.

Skills

Financial data analytics

Statistical modeling

Machine learning

Data visualization

Team leadership

ETL processes

Stakeholder communication

Education

Master's degree in Data Science, Statistics, Economics

Job description

About the Role

Our client, a leading financial services company based in **Monterrey, Nuevo León, MX**, is seeking a highly analytical and strategic Director of Financial Data Analytics. This hybrid role requires a leader who can blend on-site strategic planning and team collaboration with the flexibility of remote data exploration and analysis. You will be responsible for overseeing the collection, processing, and interpretation of vast amounts of financial data to drive informed business decisions, identify trends, and uncover opportunities for growth and efficiency. This position requires a deep understanding of financial markets, statistical modeling, data visualization, and advanced analytical techniques. You will lead a team of data analysts and scientists, fostering a culture of data-driven decision-making throughout the organization. Your insights will be crucial in shaping financial strategies, optimizing operations, and mitigating risks. This is a prime opportunity to leverage your expertise in a key leadership role within a rapidly evolving financial landscape.

Key Responsibilities

• Lead the development and implementation of advanced financial data analytics strategies.
• Oversee the extraction, transformation, and loading (ETL) of large financial datasets.
• Develop and refine statistical models and machine learning algorithms for financial forecasting and risk assessment.
• Create compelling data visualizations and dashboards to communicate complex insights to stakeholders.
• Identify key performance indicators (KPIs) and develop reporting mechanisms to track financial health and operational efficiency.
• Collaborate with cross‑functional teams (e.g., finance, operations, marketing) to understand their data needs and provide analytical support.
• Manage and mentor a team of data analysts and data scientists, fostering their professional growth.
• Stay abreast of the latest trends and technologies in data analytics, big data, and financial technology.
• Ensure data accuracy, integrity, and security across all financial data systems.
• Present findings and strategic recommendations to senior leadership.

Requirements

• Master's degree in Data Science, Statistics, Economics