Sr Data Analyst

Optum, Inc
Eden Prairie, MN, United States
4 days ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$91,700.0 - $163,700.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Database Queries Python (Programming Language) Power BI Tableau (Software) Scripting Google Cloud
+3 more
Multi-Cloud Data Analytics Programming Languages

Job description

As a member of the Cloud FinOps team at Optum Technology, you will work to align cloud and on-premises efficiencies with real-time business needs, compliance standards, and strategic stakeholder decisions. In this role, you will leverage enterprise-approved AI tools to analyze cloud usage, identify cost inefficiencies, optimize capacity, track performance metrics, and perform spend anomaly detection. Working closely with engineering, finance, and leadership teams, you will deliver actionable analytics that drive financial transparency, operational optimization, and cost accountability across our enterprise footprint., * Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.

  • Evaluate emerging trends to inform solution design and strategic innovation.
  • Perform complex data analysis, cloud cost modeling, and capacity optimization to align resource utilization with real-time business needs and compliance guidelines.
  • Design, build, and maintain interactive dashboards and reports using business intelligence tools (e.g., Power BI, Tableau) to provide visibility into cloud spend, performance metrics, and spend anomaly detection.
  • Query, aggregate, and analyze large-scale multi-cloud usage datasets (e.g., AWS, Azure) to identify cost-saving opportunities and efficiency improvements.
  • Collaborate with cross-functional engineering, product, and finance stakeholders to communicate financial insights, support budget forecasting, and guide data-driven decisions.

  • Conduct root-cause analysis on spend anomalies, usage spikes, and forecasting variances to maintain governance and accountability across cloud and on-premises environments.
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI \

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

  • 4+ years of professional experience in data analytics, business intelligence, or financial data modeling
  • 4+ years of experience writing SQL queries to extract, transform, and analyze large, complex datasets
  • 2+ years of experience in Cloud FinOps, cloud cost management, or analyzing cloud resource spend and usage (e.g., AWS, Azure, GCP)
  • 2+ years of experience utilizing approved AI tools or automated analytical utilities to optimize reporting workflows, perform anomaly detection, or streamline data analysis
  • 2+ years of experience designing and maintaining interactive dashboards using BI tools (e.g., Power BI, Tableau), * Bachelor’s degree or 4+ years of equivalent professional experience in data analytics, cloud FinOps, or financial analysis in lieu of a degree
  • FinOps Certified Practitioner (FCP) or equivalent cloud cost management certification
  • Experience working in hybrid multi-cloud infrastructure environments (e.g., AWS, Azure, on-premises)
  • Proficiency in scripting or programming languages (e.g., Python, R) for data analysis and process automation
  • Strong communication and presentation skills, with proven experience presenting technical/financial analysis to leadership and key stakeholders
  • Familiarity with cloud governance, compliance frameworks, and enterprise budgeting processes
  • All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits & conditions

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the company

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

1:53 min

Evaluating traditional scripting languages for modern development tasks

Jens Knipper Jens Knipper · Europe 2026 Virtual

Videos

See all

Related articles

See all