Associate Analytics Engineer

Role Overview

The Analytics Engineer bridges data engineering and business analytics, transforming complex data into reliable, scalable, and business-ready data products. The role owns the end-to-end development of regional analytics solutions, from understanding business requirements and navigating source data through data modeling, testing, deployment, visualization, and ongoing optimization.

What You Will Do

Design, build, test, document, and maintain scalable data models and analytics products supporting regional business use cases across Client, Finance, Customer Service, Supply Chain but not limited to. Own the end-to-end delivery lifecycle of analytics products, translating business requirements into robust technical solutions and driving use cases from initial scoping through development, validation, deployment, adoption, and ongoing maintenance.

Why It Might Be a Fit

Partner proactively with business stakeholders to understand challenges, clarify requirements, and translate business questions into scalable data models and analytics products. Serve as a key regional data partner for designated markets, functions, and Maisons, providing reliable technical and analytical guidance and helping stakeholders make effective use of available data.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, Information Systems, or a related quantitative field.
• Master’s degree is a plus.
• 3+ years of experience in analytics engineering, data engineering, business intelligence, data analytics, or a comparable data-focused role.
• Demonstrated experience developing data models and analytics products from business requirements through production deployment.
• Experience working with complex datasets and translating business requirements into maintainable technical solutions.
• Experience partnering directly with both technical and non-technical stakeholders in a cross-functional environment.
• Strong proficiency in SQL and experience working with cloud data warehouses, preferably Google BigQuery.
• Hands-on experience with dbt for data transformation, modeling, testing, and documentation.
• Strong knowledge of Looker, including LookML, data modeling, Explores, and dashboard development.
• Working knowledge of Git/GitLab and modern version-control and code-review practices.
• Understanding of data-modeling principles, data quality, testing, documentation, and analytics engineering best practices.
• Experience with for workflow orchestration.
• Experience with data observability solutions such as Monte Carlo and data-catalog capabilities.
• Familiarity with Python or another programming language used for data processing or automation.
• Experience working within cloud-based analytics ecosystems and shared or federated data environments.

Benefits

• Medical, dental, and vision programs.
• Health savings and flexible spending accounts.
• Income protection solutions including life insurance, disability benefits, and 401(k) with employer match.
• Paid time off.
• Wellness reimbursement benefit.
• Access to the employee assistance program.
• Volunteer days off.

Tagged as: BigQuery, Clari, Data Analysis, Looker, Python, SQL