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Analytics Engineer

Colgate-Palmolive LogoColgate-Palmolive
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Job Summary

We're looking for an experienced data and analytics professional to join our Global Supply Analytics team. The ideal candidate will develop and automate data transformation pipelines integrating data sources from various parts of the business to drive understanding and operational efficiency for our Global Supply Organization. As an early member of the analytics team, your role will influence the tech stack and frameworks we develop across the organization. As an Analytics Engineer, you will collaborate with departments across the organization and company, including Digital, eCommerce, Finance and IT.

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Reporting:

Will report directly to the Data Integration and Visualization Lead.

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What you will do:

  • Use SQL and Python to write production-quality code to meet the data transformation needs of analysts and other business partners
  • Support the use of analytics platforms and data science workflows, while identifying ways to strengthen and scale our data foundation
  • Help craft and develop transparent ELT pipelines that deliver timely and accurate data to end users
  • Translate business requirements and logic into well-documented data models to drive clarity and efficiency for end users
  • Collaborate cross functionally to understand and identify data needs and opportunities to use data to drive business solutions
  • Communicate technical concepts to a non-technical audience in a compelling manner
  • Partner with IT to align on data architecture, analytics tools, and other technologies
  • Performs other duties as assigned
  • Align with all policies and standards

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Required Qualifications:‍

  • Bachelor's Degree
  • At Least 6+ years of experience of professional experience as a data analyst, data scientist, or data engineer
  • Demonstrated proficiency in the use of SQL and/or Python to wrangle, clean, and integrate data from a variety of sources
  • Demonstrable understanding of modern data warehouse design principles and data engineering standard methodologies

  • Practical experience using data visualization and/or BI tools (e.g., Domo, Tableau) to analyze data

  • A commercially astute individual, with the ability to build strong cross-functional relationships. Excited at the prospect of developing and implementing new tools and processes that add organizational value & improve decision making capabilities.

  • A forward-thinking, high-reaching person, with strategic capabilities, able to lead change, influence and collaborate both internally and externally, and with a clear dedication to delivering business results in a timely manner.
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Preferred Qualifications:‍

  • Master’s or PhD in a quantitative field
  • Proven experience with Git/GitHub, dbt Core/Cloud, and Airflow
  • Familiarity with SAP systems (ECC, C4C)

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