Trabajo de Data Analyst en Schneider Electric, Nuevo León - México

Data Analyst

Schneider Electric™ creates connected technologies that reshape industries, transform cities and enrich lives. Our 160,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment.

Great people make Schneider Electric a great company.

Join an exciting team and help drive transformation on our digital journey. Design and build innovative solutions to a broad range of data, analytic and application topics. Our Data Analysts are focused on enabling the business to leverage data as a key value driver.

Key responsibilities include:

·          Identify data and analytical business needs and determine possible solutions

·          Design, build and operate robust and scalable dashboards and visualizations

·          Perform light statistical analysis and machine learning

·          Conduct data discovery, analyze data lineage and determine schema

·          Model data in normalized, denormalized and graph structures

·          Support data migrations in systems transformations

·          Automate data sets for analytical consumption

·          Working in Agile development team

 

Required Qualifications:

·          Minimum 2 years of designing, building and operating dashboards and visualizations in Tableau or equivalent

·          Minimum 2 years of hands on experience working with databases and writing SQL queries

·          Minimum 2 years effectively communicating complex topics with non-technical users

·          Minimum 2 years applying statistical analysis

·          Minimum 2 years of experience modelling data in normalized, denormalized and graph structures

·          Excellent proficiency with Microsoft Excel

·          Intermediate proficiency with Python and SQL

·           Fluent English

 

Preferred Qualifications:

·          Bachelor's degree in Computer Science, Engineering, Finance, Economics or equivalent

·          AWS/Azure/GCP experience

·          Experience wrangling data in Python leveraging Pandas

·          Experience with data warehousing solutions like Redshift, Presto, Greenplum