Data Analyst 2 (PowerBI), Optum Technology - Remote

UnitedHealth Group•Minnetonka, MN

11h•Remote

About The Position

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are the UHC Payment Integrity Tech Team responsible for developing solutions that help prevent Fraud, Waste and Abuse by identifying them proactively in Prepayment and retrospectively in Post Payment. This is achieved by deploying Analytics based, Rule based and Situational based interventions throughout the claim’s lifecycle. The team is a mix of data scientists, Data Analysts and data engineers who come together to architect and deploy an end-to-end solution. We ensure we align to the organization’s vision of making healthcare more affordable and prevent providers from abrasive activities. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 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

5+ years of professional experience in data analysis or business analytics, ideally with exposure to healthcare or other high volume data industries
Experience with big data ecosystems (Hadoop, Hive) and
Experience with cloud data platforms (Azure, AWS, or GCP)
Solid grounding in data modeling, ETL processes, data quality principles, and the ability to communicate analytical outcomes clearly
Solid expertise in Power BI, Tableau, SQL, Pyspark and hands on Python for data manipulation, statistical analysis, and automation

Nice To Haves

Experience working directly with US healthcare datasets (claims, clinical, EMR/EHR, provider, payer)
Experience optimizing cloud native data pipelines and working with tools like Databricks, Spark, or Snowflake
Knowledge of advanced analytics concepts (predictive modeling basics, statistical experimentation) and familiarity with modern data engineering workflows – is good to have
Demonstrated ability to work in cross functional product/engineering environments and influence decision making through data storytelling

Responsibilities

Analyze large, complex healthcare datasets to generate insights that drive strategic and operational decision making
Build and maintain interactive dashboards and analytics products using Power BI and Tableau, ensuring clarity and usability for business stakeholders
Develop Python based data pipelines, statistical analyses, and automation scripts; optimize PySpark and Sql queries and ETL processes across cloud/big data environments
Partner with data scientists, engineers, and business teams to translate business problems into analytical frameworks and present insights to non technical audiences