Data Analyst II (Healthcare Analytics)

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Published: October 28, 2019
Saint Louis, MO
Job Type
Based on experience


Job description
Position Purpose: The Data Analyst (Healthcare Analytics) will have the opportunity to make a significant impact through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The analyst will collaborate with key corporate and health plan business partners for the purpose of identifying and delivering robust reporting and analytics capabilities to drive improved business performance.

Interpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trends
Develop, execute, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
Support execution of large-scale projects with limited direction from leadership
Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment
Support the design, testing, and implementation of process enhancements and identify opportunities for automation
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products
Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
Independently engage with customers and business partners to gather requirements and validate results
Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required

Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. 2+ years of experience working with large databases, data verification, and data management. Healthcare analytics experience preferred. Knowledge of query development of basic to moderate complexity using SQL or other coding languages. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Working knowledge of analytical tools, including R, Python, SAS, ArcGIS, QGIS, Microstrategy, Tableau, Hadoop, or related tools preferred. Working knowledge of relational databases preferred. Working knowledge of automation capabilities such as batch processes, stored procedures, scripting languages, Microstrategy, or other tools preferred.

Experience in provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis preferred. Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred

Employee Status: Regular
Job Level: Staff
Job Type: Regular

Is Relocation Available? No
Are you open to sponsorship? No
This position is: New Position
Is there a possibility to work remote? No
Is there equity? No
Are there flexible work hours? No
Does this position have direct reports? No
Describe how this position fits in your organization.
This position will report into our Enterprise analytics team, located in our home office.
What are the 3-4 non-negotiable requirements on this position?
Bachelor’s degree - 2+ years of analytics experience - data visualization skills
What are the nice-to-have skills?
Healthcare experience
What is exciting about this opportunity? Please use this section to describe team and company culture.
This role is a newly created position within a team expansion, then will allow opportunity to interface with different customer groups from different markets on a national basis.

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