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JUNIOR STRATEGIC DATA SPECIALIST

Indeed
Full-time
Onsite
No experience limit
No degree limit
Isabel La Católica 5, Historic Center of Mexico City, Centro, Cuauhtémoc, 06000 Mexico City, CDMX, Mexico
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Job Summary: This Data Specialist role will strengthen the product analytics strategy by supporting data-driven decision-making through statistical analysis and modeling to identify opportunities. Key Highlights: 1. Participation in high-impact projects and strategy design. 2. Combines hands-on learning with advanced analytical skills development. 3. Mentorship from senior data specialists and data scientists. **Location:** MEXICO CITY, Mexico City, MX **Category:** Product Development **Requisition ID:** 121566 **Junior Strategic Data Specialist** **(Reforma, CDMX)** At Banorte, we seek unique, strong, and extraordinary talent that drives national transformation and innovation, positioning us as a key ally for robust growth alongside Mexico. We firmly believe that the combination of solidarity, innovation, respect, loyalty, and responsibility is the perfect formula to become the best team in the financial sector. **Job Objective:** As a **Data Specialist**, you will strengthen the analytical strategy for **Payroll and Payroll Loan** products, as well as other bank products, supporting business decision-making through statistical analysis and modeling to identify value-generating opportunity areas. You will participate in high-impact projects, supporting the **design and implementation** of evidence-based strategies, policies, and models. Additionally, you will contribute to **results measurement** through **controlled experimentation and other causal evaluation tools**, driving continuous improvement of products and processes. This position combines **hands-on learning**, exposure to real business problems, and development of advanced analytical skills, supported by mentorship from senior data specialists and data scientists to maximize your professional growth and organizational impact. We seek candidates with a strong quantitative background, intellectual curiosity, and interest in applying analytical methods to solve real business problems. The ideal candidate holds a degree in Economics, Applied Mathematics, Actuarial Science, Data Science, or related fields; proficiency in SQL and R or Python; and extensive knowledge of econometric models, machine learning, and causal inference methodologies. Furthermore, the candidate must be able to translate data into strategic decisions. **Key Responsibilities:** * Analyze large volumes of data related to customers, products, and financial performance. * Build and maintain SQL queries for data extraction, cleaning, and validation. * Develop statistical analyses and exploratory models in R or Python. * Support the construction, evaluation, and interpretation of predictive and descriptive models. * Collaborate in the design and analysis of controlled experiments and other causal inference methodologies. * Prepare reports, dashboards, or executive presentations that clearly and structurally communicate insights. * Work cross-functionally with product, risk, and business units. **Requirements:** * Education: Bachelor’s degree in Economics, Applied Mathematics, Actuarial Science, Data Science, or a related discipline * Years of Experience: No minimum required * Experience Areas: Financial Services and Data Science (preferred) * One or more of the following: + Knowledge of econometric and machine learning methodologies and models (supervised and unsupervised) for regression, classification, *clustering*, etc. + Knowledge of controlled experiments and other causal inference methodologies * Proficiency in SQL and R or Python * Languages: Advanced English * Willingness to travel: Not applicable * Willingness to relocate: Not applicable At Grupo Financiero Banorte, we foster a culture of inclusion, respect, and equity. All individuals interested in joining our team are considered based on objective criteria tied to their talent, experience, and skills. Our commitment is to ensure transparent selection processes.

Source:  indeed View original post
Juan García
Indeed · HR

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