Senior Data Analyst Engineer- FinOps

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 Edward Jones and help drive data-powered decisions across Technology Services. As a Senior Data Analytics Engineer on the cloud and AI cost management (FinOps) 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 FinOps team, you’ll create trusted data products, scalable reporting, and actionable insights that support strategic decision-making across FinOps, 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.

What You’ll Do

• Design, develop, and maintain scalable data models, analytics solutions, dashboards, and automated reporting that support FinOps 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 FinOps 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 stakeholders.

• Strong understanding of data quality, governance, and reporting best practices.

Preferred Qualifications

• Experience supporting FinOps, technology cost management, or cloud consumption reporting using platforms such as Cloudability, CloudHealth, or similar tooling.

• Working knowledge of cloud platforms like Azure (preferred), AWS, and/or GCP plus the ability to interpret cloud consumption, utilization, and billing data.

• Familiarity with Technology Business Management (TBM), service costing, or technology financial management concepts.