Data Consultant - Optum Advisory Board - Remote

UnitedHealth Group•Eden Prairie, MN

1d•Remote

About The Position

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. At Advisory Board, part of Optum Insight, we’ve helped health care industry leaders work smarter and faster by providing provocative insights, data and analytics, and practical tools to support execution for over 40 years. Our core products include research and analytics membership, events, expert support, custom research, and sponsorship. Learn more about Advisory Board. The Quantitative Insights team powers the industry-leading data and analytics capabilities core to Advisory Board’s value proposition. The Quantitative Insights Consultant is a people and process manager with deep healthcare data expertise. They manage a team of data analysts who update, improve, and resolve bugs in our analytical tools. The Consultant is accountable for on-time updates; building an improvement roadmap for a subset of tools based on internal and client feedback; partnering with data analysts, data scientists, engineers, and developers to implement improvements; and supporting analysts in bug resolution. They are both an individual contributor on high-priority projects and a manager who coaches and supports data analysts responsible for standard tool updates and issue resolution. 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

5+ years of experience in management and maintenance of big data systems (e.g. data schemas, ETL, data storage)
5+ years of experience in data manipulation, pipelining, and/or producing high-quality data deliverables
5+ years of experience writing, editing, and troubleshooting complex queries (SQL, Python/Pyspark)
3+ years of experience in exploration and analysis of new datasets, with summaries and insights
2+ years People Management experience
Experience working with Cloud technologies (AWS preferred)

Nice To Haves

Product management experience, preferably with a focus on producing data deliverables
Experience in Redshift, S3, Glue, and other AWS applications
Experience with client-facing conversations, preferably focused on data delivery and dataset/methodology overview
Demonstrated depth of health care knowledge and expertise
Proven understanding of health care claims data, including Medicare and commercial datasets
Proven written and oral communication skills
Demonstrated team building and team culture skills

Responsibilities

Maintain prompt update cycle for key online data tools (supported by ETL data pipelines in AWS data suite)
Identify opportunities for improvement in data product offerings, workflow management, and product delivery
Partner with engineers and developers to build new analyses into scalable data pipelines
Prototype new products and solutions
Maintain familiarity with the state-of-the-art around big data analytics and associated technologies and techniques
Manage workload across team of 2-4 dedicated analysts
Lead analyst skill development, technical proficiency, and data environment familiarity
Backstop, troubleshoot, and lead QA of analyst analyses, pipelines, and deliverables
Serve as a supporting voice for relevant client-facing intake and delivery conversations
Lead timeline management to ensure timely delivery of results to clients
Scope and project manage to ensure client needs are met efficiently, allowing scale of