Surest Senior Data Analyst

UnitedHealth Group•Chicago, IL

1d•$91,700 - $163,700•Remote

About The Position

Surest, a UnitedHealthcare Company, is seeking a Senior Data Analyst to join their Ontology Team. This role is crucial for supporting the design, performance, and continuous improvement of Surest’s Ontology and Search experience. The Surest Ontology is the core framework for organizing, defining, pricing, displaying, and adjudicating healthcare services. The Senior Data Analyst will be responsible for translating complex healthcare and benefit design data to enhance search relevance, ontology accuracy, and operational outcomes. This individual will collaborate with Product, Technology, Operations, and Benefit Design teams to ensure alignment between Ontology structures, Search logic, business objectives, and consumer needs. The company offers a flexible work environment, with the option to work remotely from anywhere in the U.S., though hires in the Minneapolis or Washington D.C. areas are expected to work in the office at least four days a week.

Requirements

5+ years of experience in data analysis, preferably in healthcare, insurance or digital product environments
5+ years of experience with data modeling concepts
5+ years of experience using SQL and relational databases
5+ years of experience with Python or R for data analysis
3+ years of demonstrated experience working with healthcare administrative data (e.g. claims, encounter, clinical, provider etc.)
Demonstrated working knowledge of clinical data domains, code sets and ontologies (e.g. ICD, SNOMED, RxNorm)
Willing and able to travel 10% +/- depending on business need

Nice To Haves

1+ year experience with cloud computing (AWS, Azure) and data platforms such as Databricks and Snowflake
Experience working with search platforms, search analytics, or relevance tuning
Experience presenting research methods and findings to stakeholders
Familiarity with taxonomy
Proven exceptional analytical and problem-solving skills
Demonstrated ability to manage multiple projects in a highly dynamic environment
Proven high attention to detail
Proven innate curiosity to learn more

Responsibilities

Analyze Ontology structures to identify gaps, inconsistencies, and opportunities for optimization
Provide analytical support for Ontology changes, including upstream inputs and downstream dependencies
Implementation of Search data enhancements
Develop repeatable analyses to validate data integrity and configuration accuracy
Analyze search behavior, query patterns, and user interaction data to identify opportunities to improve search relevance and accuracy
Translate complex datasets into clear, actionable insights for business and technical stakeholders
Establish and maintain data quality checks for Ontology and search data
Support documentation and standardization of analytical methodologies