Data Analytics

-Job description

If you’re looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of **Data Analytics.**

**Principal accountabilities**:

- Development of data quality models and solutions and advanced analytics, such as predictive models, classification models, and artificial intelligence.
- Use statistical techniques to examine data and provide reliable and accurate information that allows decision making; generate information analysis that is aligned with business priorities, development of dashboards and indicators for easy interpretation of data.
- Collect data from primary and secondary sources, ensuring the maintenance of databases and data systems.
- Program data quality rules or criteria that allow the identification of unwanted, incomplete, or inaccurate data that impact data metrics or models
- Responsible for the automation of the continuous integration or supply development work lines of a product or operations development service team to promote a culture of continuous improvement.
- Responsible for the automation of the continuous development, integration, or supply work lines of a process or service, as well as promoting a culture of continuous improvement.
- Ensure compliance with all applicable controls and regulations, including the relevant service management standard. Ensure the presence of high-quality data in service systems or processes.
- Maintain up-to-date documents related to the methodology used for data analysis. Ensure compliance with applicable controls and regulations, including the relevant service management standard.
- Ensure compliance with service resilience, service sustainability, and recovery time for all solutions provided.
- Keep up-to-date and develop expert-level knowledge in current relevant tools, technologies, and areas, such as Machine Learning and Artificial Intelligence.
- Alignment and compliance on regulations such as data privacy, consent, data residency, and other related topics.
Requirements

**Technical requirements**:

- Languages for data analysis (Python, R).
- Structured programming and knowledge of scripts for process automation (Linux, Windows, Shell scripting, Power Shell, etc.)
- Database programming (SQL), and use of managers such as Teradata, BigQuery, PostgreSQL, etc.
- Visualization, knowledge of dashboard generation, tools such as QlikSense, Excel.
- Microsoft software and packages, medium-advanced knowledge of Excel, Word, PowerPoint.
- English at Medium-High.
- El análisis de datos requiere de diferentes habilidades, por mencionar algunas:

- DAO atiende o da servicio a las diferentes líneas de negocio o funciones, por lo que un entendimiento de cómo están relacionados los procesos y principalmente los datos entre estos es crucial para tener resultados a las líneas de negocio.
- Comprensión de los datos y análisis de estos con herramientas como Python, SQL, Visualización (QLikSense), entre otras. Este tipo de herramientas nos ayuda a entender los datos y sus relaciones, así como generar modelos y estadísticas.
- Los modelos o desarrollos deben enviarse o implementarse en un ambiente productivo (automatización de procesos), donde se hace uso de otras herramientas para automatizar como Shell Scripts y Control-M.
- Se requiere un monitoreo constante de los procesos en producción, validación y análisis datos obtenidos a través de logs y estadísticas, este tipo de análisis se requiere experiência en Python, Shell Scripts, Visualización.