Data Specialist

Description

Position Summary: We are seeking a committed Data Specialist to lead the data lifecycle, develop advanced analytical solutions, and automate processes. Key Highlights: 1. Leadership in developing advanced analytical solutions 2. Automation of workflows using digital tools 3. Collaboration with technical and business teams Financiera Independencia belongs to a Mexican financial group where human values are fundamental in daily operations. Therefore, we seek dedicated, honest collaborators eager to join our UNSTOPPABLE FORCE as: **DATA SPECIALIST** **We Offer:** Salary: $24,999 to $25,000 MXN gross per month. 100% nominal compensation scheme. Statutory and above-statutory benefits (Life Insurance \+ Additional Christmas Bonus Days). Work location: La Coruña (near Metro Viaducto). Working hours: Monday to Friday, 9:00 AM to 6:30 PM. **Requirements:** Completed Bachelor’s degree: Preferred fields include Engineering or related disciplines (Computer Systems, Informatics, Information Technology, Computer Science, Mathematics, Mechatronics, Actuarial Science, Data Science); open to candidates from other disciplines who possess relevant experience and/or technical knowledge. Minimum 3\-4 years of professional experience in the field. Desirable knowledge in: Data Intelligence, Business Analytics, Database Management, AI, Machine Learning, Prompt Engineering; preferably gained within financial institutions, insurance companies, or brokerage firms, handling profitability metrics, operational risk, and portfolio analytics. **Tools:** * SQL and BigQuery * Database management systems: PostgreSQL, MongoDB, Microsoft SQL Server, Sybase, etc. * Programming languages: Python, R, Tableau Prep, Dataiku, Alteryx, etc. * Google Workspace: Sheets, Docs, AppSheet, Looker Studio, etc., or Microsoft Office (Power BI, Advanced Excel, Access, Azure, etc.) * Agile methodologies (SCRUM) **Responsibilities:** * Manage and oversee the full lifecycle of deliverables under your responsibility — from mapping existing tables, data extraction, conceptualization, integrity, cleansing, standardization, and confidentiality of large-scale datasets, ensuring institutional data sources are reliable and ready for exploitation. * Lead the development of advanced analytical solutions (reports, dashboards, systems, etc.), gathering and prioritizing functional and/or technical requirements from users and/or stakeholders to ensure strategic alignment and agile decision-making within your work plan. * Translate complex data into actionable intelligence by identifying patterns, deviations, and operational risks through statistical analysis enabling immediate corrections or improvements. * Develop strategic control dashboards that translate technical metrics into clear visual insights, empowering Audit leadership to make informed and agile decisions. * Automate workflows and information-generation processes using digital tools (with priority given to Google Workspace) to enhance service levels and operational resilience. * Ensure technical and functional documentation for all assigned tasks, projects, and solutions. * Coordinate your assigned technical team across projects and their interaction with other data and/or business units to ensure timely and successful delivery of requirements and solutions. * Proactively collaborate with technical teams (Infrastructure, Architecture, Cybersecurity, etc.) and business teams to integrate data solutions aligned with institutional protocols and objectives. * Stay updated on technological trends, protocols, best practices, and tool usage to contribute innovative ideas focused on value creation and continuous improvement. **Skills:** \- Proven experience and strong expertise in data analysis, data science, or data mining. \- Proficiency in relational and non-relational database management. \- Mastery of SQL and BigQuery. * Intermediate-to-advanced knowledge of automation software (Python, Apps Script, Colab) or other related programming tools or languages. * Google Workspace (Colab, Apps Script, Sheets, Docs, Notebook ML, Google Studio AI, etc.) * Desirable knowledge in AI and Machine Learning: Prompt creation (Prompt Engineering), no-code automation, and use of AI tools for predictive analytics. * Probability and Statistics * Basic understanding of data architecture * Demonstrable track record in dashboard design and report automation * Knowledge of business processes * Data storytelling and understanding of financial and operational metrics (Control dashboard design) * Indicator development expertise * Project management * Familiarity with Industry 4\.0 technologies (IoT, Big Data, AI, Machine Learning, etc.) is a plus. Good luck with your application!