Global Data Analyst, Talent Acquisition

Schneider Electric

  • Monterrey, N.L. Estado de México
  • Permanente
  • Tiempo completo
  • Hace 13 días
Job Description:As a Data Analyst for Talent Acquisition, you will be responsible for collecting, processing, and conducting statistical analyses on large datasets. Your findings will be utilized to identify trends, patterns, and insights that will inform business decisions and strategies. You will need strong analytical skills, proficiency in data analysis tools and software, and the ability to communicate complex data insights to non-technical stakeholders. This communication needs to be done in English.Additionally, this individual will support the progress reporting and tracking of the TA Strategy
QualificationsNeed to have· Data Visualization
  • Data Mining
  • Data Cleansing
  • Problem Solving Skills
  • Data Modeling
  • Critical Thinking
  • Attention To Detail
  • Data Analysis
  • Statistical Analysis
  • Big Data Analytic
  • BI (Business Intelligence)
  • Data Warehouse (DWH)
  • SQL (Structured Query Language)
  • Database Administration
  • Communication
  • PowerPoint (intermediate)
  • Excel (advanced)
Nice to have· Machine Learning (ML)
  • Predictive Analytics
· Python (Programming Language)· Storytelling: Ability to effectively convey insights and analysis through compelling storytelling, translating complex data into actionable narratives for stakeholders.Exciting Opportunity for Junior Talent! Join our dynamic team and embark on a global journey in the field of Machine Learning and Data Science. As a Junior Data Scientist, you'll dive into the world of supervised and unsupervised learning, honing your skills in model training, classification, regression, clustering, and more. This role offers a chance to work with cutting-edge technology and make a real impact in a global setting. If you're passionate about data and eager to learn and grow in a collaborative environment, we want to hear from you! Apply now and unleash your potential with us! #DataScience #MachineLearning #GlobalOpportunity
Schedule: Full-time
Req: 008WAT

Schneider Electric

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