Data Analytics Engineer (US Shared Services)

About the role

Designs and delivers business intelligence, analytics, and data products that turn operational and business data into actionable insights. Works with internal and external stakeholders to define key performance indicators, metrics, reporting requirements, and analytical questions. Develops data models, dashboards, reports, and analyses that support performance management, operational improvement, forecasting, and decision-making. Promotes trusted, consistent, and user-friendly analytics through clear metric definitions, documentation, and data visualization standards.

Key responsibilities

• Define and maintain business metrics, key performance indicators, and semantic/business logic in alignment with operational and strategic needs.
• Design and develop analytical data models, dashboards, reports, and self-service BI solutions that present information in a clear and actionable format.
• Analyze trends, performance, root causes, exceptions, capacity, quality, service levels, productivity, risk, and other operational measures.
• Collaborate with clients and internal stakeholders to translate business questions into analytical requirements, insights, and recommendations.
• Validate data and reporting quality, document definitions and assumptions, and support adoption and continuous improvement of analytics products.

About you

• Bachelor's degree in Statistics, Analytics, Data Science, Engineering, Business, or related field; equivalent relevant experience may be considered.
• Can work in a Hybrid environment in a Night-shift schedule
• Experience in business intelligence, analytics, reporting, or related data roles.
• Knowledge of data visualization, KPI design, dimensional/analytical modeling, statistical analysis, forecasting, data storytelling, and dashboard usability principles.
• Proficiency in SQL and experience with enterprise BI and visualization tools.
• Experience with cloud data platforms and analytical programming languages such as Python or R preferred.
• Strong analytical, communication, and stakeholder-management skills; ability to translate complex data into clear business insights and recommendations.