FinOps Data Analytics Engineer - Cloud Cost & Insights

Edward Jones

Tempe (AZ)

Hybrid

USD 110,000 - 170,000

Full time

2 days ago

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Benefits offered by this job

401k retirement plan

Healthcare benefits

Paid holidays & vacation

Job summary

Edward Jones seeks a Senior Data Analytics Engineer to drive data-powered decisions across Technology Services. You will design scalable data models, dashboards, and reporting to monitor technology cost, consumption, and performance.

The role centers on trusted data products and governance across finance and infrastructure teams. You will collaborate with technology, product, and operations to deliver actionable insights and automated reporting, enabling strategic decision-making and cost

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, BI, data engineering, or related discipline.
Advanced SQL skills and experience with scalable data models, pipelines, dashboards, and automated reporting.
Experience with REST APIs, JSON data structures, and automated data ingestion for analytics.
Experience with Power BI, Microsoft Fabric, Databricks or similar platforms.
Experience building ETL/ELT pipelines and large-scale analytic datasets.
Strong analytical and problem-solving skills with the ability to translate data into insights.
Experience developing executive dashboards, KPI scorecards, and operational reporting.

Responsibilities

Design, develop, and maintain scalable data models, analytics solutions, dashboards, and automated reporting for FinOps and performance management.
Transform complex data into actionable insights to drive business outcomes.
Develop and enhance executive dashboards, KPI scorecards, and monthly operating materials.
Build and manage data products by integrating data from multiple enterprise systems with governance.
Collaborate with technology, product, operations, and finance to deliver analytics solutions.
Administer and optimize FinOps tools and processes for cost transparency and efficiency.
Create data pipelines and reporting frameworks to improve visibility into technology costs and value.
Identify opportunities to automate reporting and streamline analytics.