Data Analytics Engineer

Role Overview

The Data Analytics Engineer is responsible for using analytical tools to uncover meaningful insights, trends, and patterns that directly contribute to informed business decisions. The role involves designing, building, and maintaining robust, scalable, and efficient ETL/ELT pipelines for manufacturing data from various systems into data lakes, warehouses, or analytical platforms.

What You Will Do

Develop and optimize data models within platforms like Snowflake, Databricks, or Google BigQuery to support reporting and advanced analytics. Implement automated data quality checks, validation, and monitoring processes in data pipelines to ensure accurate, complete, and consistent manufacturing data.

Why It Might Be a Fit

You are our ideal candidate if you have a strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management. Understanding their interaction within the supply chain is essential for data analysis and process optimization.

Requirements

• A Bachelor’s degree in Data Analytics, Computer Science, Data Science, Information Technology, or a related discipline.
• A minimum of 2 years of hands-on experience with business intelligence tools for data analysis and processing, such as Data Studio, Tableau, Domo, and Sigma.
• Proficiency in programming languages like SQL, Python, or R, and cloud BI tools such as Domo.
• Strong interpersonal skills, including communication, collaboration, and problem-solving.
• A strong grasp of supply chain principles, including production planning, inventory, logistics, procurement, and quality management.

Benefits

• Up to 17 days of annual leave and dedicated care days to prioritize your mental health and work-life balance.
• A competitive Colgate Care package and comprehensive annual check-ups to keep you feeling 100%.
• Exclusive employee discounts on our products, plus bonuses for referring your talented friends to the team.
• Life happens, and we’re here for it. We back our team with milestone celebrations, support during tough times, and rewards for sticking with us.

Tagged as: Data Analysis