Analytics Engineer — Data Analytics & Transformation (DAT)

Role Overview

The Analytics Engineer will work in a hands-on engineering role embedded in a business domain, writing clean SQL and Python, building models and data products, and working directly with stakeholders across Sales, Product, Engineering, Finance, and Commercialization.

What You Will Do

The role involves turning business questions into structured analyses and clear, actionable recommendations, defining and refining KPIs, building automated dashboards, and owning data quality, consistency, and governance.

Why It Might Be a Fit

The ideal candidate will have 2–4 years of experience in analytics engineering, data/business analytics, BI development, or a similar role, with strong SQL skills and hands-on Python experience.

Requirements

• 2–4 years of experience in analytics engineering, data/business analytics, BI development, or a similar role
• Strong SQL skills
• Hands-on Python experience
• Practical experience using AI in analytics workflows
• A solid grasp of statistics and attention to methodological detail
• Software engineering habits (version control, testing, documentation) and experience with BI/visualization tools

Benefits

• Pioneer Innovation
• Ownership from Day 1
• Unrivaled Family Support
• Work-Life Integration
• Continuous Growth
• Holistic Well-being
• Drive Sustainability
• Global Inclusion & Belonging
• Value-Driven Impact

Tagged as: Data Analysis