Senior Data Analyst - Remote

UnitedHealth Group•Minnetonka, MN

10h•Remote

About The Position

This position is responsible for supporting the expansion of Consumer Experience Scoring into new areas, including Spec Ben (Dental and Vision), Provider, UHOne, and others. The role requires understanding business needs and leveraging data-driven Abrasion Insights to inform presentations to senior and executive leadership from a solutions-oriented perspective. Additionally, this position identifies opportunities for developing effective solutions. 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

3+ years of experience in data analysis, data-driven investigations, data storytelling, visualizations, and analytic insight creation for executive consumption
Highly experienced in data visualization tools such as Tableau / Power BI / D3JS etc.
Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools
Expert level: Snowflake, Databricks, SQL skills
Advanced Excel skills, including building automated models and dashboards (pivot tables, data models, advanced formulas) to manipulate large datasets, uncover insights, and prepare structured data for Power BI reporting
Demonstrated excellent teamwork, good communication skills, attention to detail, ability to work in a fast-paced environment with little to no supervision
Demonstrated business focus; must excel at connecting business requirements to analytic objectives and to measurable business benefit
Integrity: Complies with applicable laws, regulations, and policies
Performance Value: Deliver value to customers by maximizing growth and retention while optimizing experience
Relationships Value – Communicate Effectively: Communicate with impact, influence/negotiate, be present, and actively listen
Collaboration: Develops and maintains productive working relationships, actively shares information and expertise with team members. Actively mentors new team members on a consistent basis.
Achievement Drive: Demonstrates urgency in pursing goals; puts in extra effort to achieve outcomes required, has a strong commitment to quality and accuracy and getting thing done correctly the first time, as well as managing time effectively.
Innovation Value – Lead Change and Innovation: Demonstrate emotional resilience, implement innovative solutions, manage change
Performance Value Drive Sound & Disciplined Decisions and Execution: Apply financial knowledge, make decisions to drive action, communicate clear direction, drive operational excellence, and manage execution

Responsibilities

Responsible for the management and manipulation of mostly structured data, with a focus on building business intelligence tools, conducting analysis to distinguish patterns and recognize trends, performing normalization operations and assuring data quality
Depending on the specific role and business line, example responsibilities in this function could include creating specifications to bring data into a common structure, creating product specifications and models, developing data solutions to support analyses, performing analysis, interpreting results, developing actionable insights and presenting recommendations for use across the company
Partner with stakeholders to understand data requirements and develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization
Other roles involved could include producing and managing the delivery of activity and value analytics to external stakeholders and clients. Team members will typically use business intelligence, data visualization, query, analytic and statistical software to build solutions, perform analysis and interpret data
Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms
This function is not intended for employees performing the following work: production of standard or self-service operational reporting, casual inference led (healthcare analytics) or data pattern recognition (data science) analysis; and/or image or unstructured data analysis using sophisticated theoretical frameworks
Quickly can become a go to person for data queries and is able to mentor new members in terms of understanding data approach
Package data and generate slides that tell the “story” that translates the analysis to meaningful information that will allow businesses leaders to make investment decisions