Data Analyst

hace 4 semanas


Miguel Hidalgo, Ciudad de México Colgate-Palmolive A tiempo completo

**Job Summary**

We are seeking a highly skilled Data Analyst to join our team at Colgate-Palmolive. As a key member of our CPI team, you will be responsible for managing the end-to-end process for finance streams activities, leading the design and implementation of new automation solutions, and supervising the maintenance of existing tools.

**Key Responsibilities**

  • Be the point of contact for all automation and standardization activities within the CBS FI Streams
  • Identify, evaluate, and implement new opportunities for improvement
  • Supervise the design, development, and implementation of new tools to automate processes for all FI Streams
  • Manage the maintenance of scripts, bots, and RPAs already created and keep them operational
  • Coordinate available resources for automation
  • Manage initiatives and projects regarding automation
  • Act as the key contact and interface between the IT team developing automated solutions and the CBS Subject Matter Experts requesting automation
  • Share best practices with the CBS Centers (benchmarking)
  • Monitor, manage, and provide support and training needed to the CPI Stream Coordinators to ensure the completion of automation initiatives proposed by each CBS MX FI Stream
  • Develop, train, and provide continuous support to a self-directed team (CPI Stream Coordinators) capable of implementing basic and intermediate automated solutions via scripting
  • Act as a consultant for the CPI Stream Coordinators
  • Carry out work using the FEED methodology, applying leadership principles, promoting values, and financial priorities, and continue learning

**Requirements**

  • Bachelor's Degree in Engineering, Data Analytics, diploma in Finance, or related
  • 6 months of experience in developing solutions (SAP Scripting, UiPath, VBA, GAS, JAVA, JavaScript, Python)
  • Fluent English
  • Certification on Six Sigma, Project Management, RPA Technology, Data Mining, Data Analytics (nice to have)

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