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Senior Data Analyst Engineer

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: Edward Jones
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 180000 USD Yearly USD 110000.00 180000.00 YEAR
Job Description & How to Apply Below

This job posting is anticipated to remain open for 30 days, from 14-Aug-2026. The posting may close early due to the volume of applicants.

Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we’re proud to be privately-owned, placing the focus on our clients rather than shareholder returns.

Behind everything we do is our purpose:
We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging.

People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career.

View our Purpose, Inclusion and Citizenship Report. ¹Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating.

What You’ll Do

Join Edward Jones and help drive data-powered decisions across Technology Services. As a Senior Data Analytics Engineer on the cloud and AI cost management (Fin Ops) team, you’ll play a key role in building analytics and reporting solutions that help leaders understand technology cost, consumption, performance, and value.

As part of our mature Infrastructure Fin Ops team, you’ll create trusted data products, scalable reporting, and actionable insights that support strategic decision-making across Fin Ops, infrastructure services, service portfolio management, and executive leadership. This is an exciting opportunity for a highly analytical professional who enjoys solving complex data challenges and delivering solutions that drive action and decision making for a meaningful business impact.

  • Design, develop, and maintain scalable data models, analytics solutions, dashboards, and automated reporting that support Fin Ops and performance management for infrastructure services (including hybrid cloud and AI).
  • Transform complex operational, financial, cloud consumption, and technology performance data into actionable insights that drive business outcomes.
  • Develop and enhance executive dashboards, KPI scorecards, monthly operating review materials, and service health reporting.
  • Build and manage trusted data products by integrating data from multiple enterprise systems and ensuring data quality, accuracy, and governance standards are met.
  • Collaborate with technology, product, operations, and finance teams to understand business needs and deliver impactful analytics and reporting solutions.
  • Administer and optimize Fin Ops tools and processes to enhance cost transparency and operational efficiency.
  • Create and maintain data pipelines and reporting frameworks that improve visibility into technology cost, consumption, performance, and value.
  • Identify opportunities to automate reporting processes, streamline analytics capabilities, and improve data-driven decision-making across Technology Services.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Finance, or a related field.
  • 5+ years of experience in analytics engineering, business intelligence, data engineering, reporting, or related discipline.
  • Advanced SQL skills and experience developing scalable data models, data pipelines, dashboards, and automated reporting solutions.
  • Experience working with REST APIs, JSON data structures, and automated data ingestion processes to support analytics and reporting solutions.
  • Experience with Power BI, Microsoft Fabric, Databricks or similar analytics and business intelligence platforms.
  • Experience building and maintaining ETL/ELT pipelines and large-scale analytical datasets.
  • Strong analytical and problem-solving skills with the ability to translate complex data into actionable technical and business insights.
  • Experience developing executive dashboards, KPI scorecards, and operational reporting for business and technology…
Position Requirements
10+ Years work experience
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