Surest Data Analyst - Remote

UnitedHealth Group•Minnetonka, MN

2d•$72,800 - $130,000•Remote

About The Position

Opportunities with Surest, a UnitedHealthcare Company (formerly Bind). We provide a new approach to health benefits designed to make it easier and more affordable for people to access health care services. Our innovative company is part tech start-up, part ground-breaking service delivery-changing the way benefits serve customers and consumers to deliver meaningful results and better outcomes (and we have just begun). We understand our members and employers alike desire a user-friendly, intuitive experience that puts people in control when it comes to the choices they make and the costs they pay for medical care. At Surest, we pride ourselves in our ability to make a difference, and with the backing of our parent company, UnitedHealthcare, we can operate in the best of both worlds—the culture and pace of an innovative start-up with big company support and stability. Come join the Surest team and discover the meaning behind Caring. Connecting. Growing together. We are seeking a Surest Data Analyst to play a key role in advancing the organization’s analytics capabilities and scalability. This position is ideal for an analytics professional with exceptional data fluency, solid technical expertise, and a demonstrated ability to query and synthesize large, complex healthcare datasets to solve meaningful business challenges. The role will focus on developing and delivering analytics through business intelligence tools powered by cloud-based data, supporting teams across Surest with actionable, high-quality insights. The successful candidate will bring deep experience working with data and will excel at partnering with stakeholders to translate business needs into thoughtful analytical approaches and effective solutions. Surest™ values individuals who are collaborative, intellectually curious, execution-oriented, and committed to excellence. 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.

Requirements

4+ years of advanced SQL experience, including expert-level ability to write highly optimized, complex queries; extensive hands on skill with multi table joins (inner/outer), nested subqueries, in line views, window functions, and sophisticated Common Table Expressions (CTEs); and a proven ability to interrogate, transform, and QC large-scale healthcare datasets with precision
4+ years of experience designing and developing data visualizations and dashboards, leveraging tools such as Looker, Power BI, Tableau, and other modern visualization frameworks to translate complex analytical outputs into intuitive, actionable insights
4+ years of experience translating business requirements into deployed analyses
Experience in data governance and best practices
Familiarity with healthcare data (i.e., claims) and related performance metrics (e.g., paid PMPM)
Demonstrated record of high impact cross functional collaboration, with excellent communication skills enabling effective partnership with stakeholders at all organizational levels and across a wide range of technical expertise

Nice To Haves

Experience with Databricks or Snowflake
Advanced proficiency with Excel (VBA, add-ins, etc…)

Responsibilities

Lead the end-to-end development and governance of BI solutions, including Power BI dashboards, Looker reports, and automated Excel tools that accelerate speed to data
Drive initiatives to improve data quality, reliability, and standardization across analytic processes and platforms
Set the strategy for automation and novel analytics, reducing manual work and scaling repeatable, self service data solutions
Oversee integration of diverse data sources—claims, provider, operational—into unified, high quality analytic datasets. Ensuring consistency and alignment across internal analytic outputs, including coordination with UHC/Optum reporting where applicable
Partner with data science, engineering, and architecture teams to ensure BI capabilities remain performant and align with broader enterprise data strategy
Communicate insights clearly and with executive presence, tailoring messages to both technical and non technical audiences
Support preparation and delivery of health analytic deliverables, including regular and ad-hoc consultative/analytic support as defined by the internal and external stakeholders