The Analytics Engineer serves as a core data and systems partner supporting the Project Management Excellence (PME) team. This role ensures data accuracy, enables automation, and delivers reporting visibility across a 300+ project portfolio supporting new tool qualifications.
The current operating environment leverages Smartsheet as the system of record for project management and Power BI for dashboarding and leadership reporting, requiring strong expertise across both platforms.

Key Responsibilities

Build and support Power Platform solutions (Power Automate, Power Apps)
Apply workflow, automation, and data modeling concepts to improve processes
Integrate data from SAP, Databricks, and internal systems
Support manufacturing/tooling data and process qualification tracking
Develop and maintain Power BI and Smartsheet dashboards
Ensure data accuracy, validation, and governance
Track and report on 300+ projects (status, milestones, risks, dependencies)
Create and maintain SOPs and documentation
Support PME tools (e.g., Compass) with data updates and enhancements




Define and maintain KPIs and reporting standards
Identify automation and process improvement opportunities

Provide ad hoc analysis and reporting support

Minimum Qualifications

Bachelor’s degree in Engineering, Data Analytics, Information Systems, or related field
3–6 years of experience in data analysis, reporting, or systems support
Experience with Data Visualization via PowerBI (dashboards, data models)
Experience working with multiple data systems and tools
Strong attention to detail and data accuracy

Ability to communicate with technical and non-technical stakeholders

Preferred Qualifications

Experience supporting PMO / PME / portfolio management organizations
Familiarity with project management tools and methodologies
Experience improving reporting processes, data workflows, or tool adoption

Comfort operating independently while partnering closely with leadership

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📌 Analytics Engineer (Hybrid) (Guadalajara)
🏢 Insulet
📍 Guadalajara