Data Engineer-Advanced Analytics - Local AZ

Nexiva • Phoenix, AZ

1d • Onsite

About The Position

Seeking a highly analytical and detail-oriented professional to join our Asset Management Data-Driven Insights team. This role will support the continued development of a robust data and analytics engine that identifies trends, drives process optimization, and delivers clear, stakeholder-ready insights across the asset lifecycle. This individual will translate complex asset and ServiceNow data into trusted reporting and actionable recommendations that enable informed decision-making, reduce manual effort, and improve data integrity. The ideal candidate brings a strong quality-first mindset, ensuring data accuracy, performance optimization, and disciplined testing across all deliverables.

Requirements

• Proficiency in SQL
• Strong experience developing interactive dashboards in Power BI, including Power Query, DAX, data modeling principles, and performance-aware data transformation techniques.
• Experience working with large, complex datasets and integrating ServiceNow data for lifecycle and operational analysis.
• Demonstrated ability to design clear, executive-ready visualizations that convert operational metrics into actionable insights.
• Experience building Power Apps (Canvas and/or Model-Driven) and leveraging Power Automate to streamline workflows and reduce manual processes.
• Banking domain experience
• Must be local to Phoenix, Arizona
• Must be ready for face-to-face interview
• Must be at least 21 years old when completing bachelors

Nice To Haves

• Former AMEX Employee
• Candidate's LinkedIn profile created before 2019

Responsibilities

• Analyze large volumes of AMDB and ServiceNow data to identify lifecycle trends, root causes, and optimization opportunities.
• Develop and maintain executive-ready dashboards and visualizations that support operational and strategic decision-making.
• Translate complex asset and ticket data into concise, actionable insights for technical and non-technical stakeholders.
• Enhance reporting processes through automation, data validation controls, and reporting standardization.
• Partner cross-functionally with Asset Management and Technology teams to strengthen data quality and streamline reporting workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed