.No Relocation Assistance Offered 150811 - San Jose Iturbide, Guanajuato, MexicoThe **Data Analyst for Supply Chain (SQL and Python)** is responsible to implement projects related to manufacturing systems, provide technical support and support in day-to-day activities, with the appropriate use of human, technical and financial resources in the area, according to the guideline and the objectives set by the management of manufacturing systems.
**Responsibilities**:- Plan, coordinate and supervise the activities of each assigned project, ensuring the manufacturing alignment requirements to provide the end user with the tools that support them to improve productivity indicators in a safe environment.- Integrate technical support tasks related to the area of development, supply chain, computer security, industrial safety and hygiene, quality and environmental control.- Ensure that infrastructure, programming, hardware and software standards comply with established validation protocols and global IT/PFS guidelines.- Provide consulting on project initiatives related to technology, reinforcing with the automation areas and areas involved the standard infrastructure and software guidelines established for the achievement of business objectives.- Partner with other IT functions and businesses to gather requirements and turn them into data transformation specifications.- Keep data up-to-date with technologies and use advanced cloud data storage techniques to create innovative solutions.- Perform data profiles, harmonize a wide variety of digital data sets.- Responsible of Data Science & Data Analytics of Manufcturing Systems**Requirements**:- Bachelor's degree in Systems engineering.
Engineering in Data Science or related field.- 2-3 years of experience in similar positions for data science.- Intermediate-advanced English level.- Demonstrate knowledge of SQL or Python to dispute, cleanse, and integrate data from a variety of sources.- Experience developing analytical engineering pipelines using DBT- Demonstrated experience with GIT/GIT HUB, DBT CORE/CLOUD and Airflow- Demonstration of understanding of modern data warehouse design principles and data engineering practices.- Ability to build strong cross-functional relationships.- Excited at the prospect of developing and implementing new tools and processes that add organizational value and improve decision-making capabilities in the digital organization- With strategic capacity, capable of leading change, influencing and collaborating both internally and externally, and with a clear commitment to deliver business results in a timely manner.- Desirable experience working on cloud data warehouses like SNOWFLAKE