Informaticist 2 Analytics Data Science amp Business Intelligence

Profile

Description

ESS Business Intelligence is an Enterprise Shared Services team focused on data, reporting and data science supporting Humana's Service Operations. The team is focused on converting data to actionable insights for our business partners who can utilize to reduce administrative cost and improve the customer's experience.

Responsibilities

This position will work within the Advanced Analytics team, as part of the broader ESS Business Intelligence organization. This team is focused on Data Science, Data Consulting, Data Visualization and Reporting. The Informaticist 2 role supports the Analytics team by developing subject matter expertise around the datasets, and through supporting analysis and model development. Each team member is expected to tackle a variety of analytics tasks that require a broad skill set, while individuals are encouraged to pursue & focus on their strengths. The ideal candidate will have a few years of experience exploring and analyzing data, and has ambitions to continue to grow their technical skills. Additionally, a growing comfort with explaining technical issues to business partners would be a great skill to have.

Required Qualifications


Bachelor's degree
2 - 5 years of data analysis experience
Intermediate SQL - Focused on data mining & sourcing data for analytics
Familiar with Excel for data exploration & analysis.
Ability to use appropriate problem solving, research and analysis tools
Experience with data mining, statistical analysis, predictive modeling techniques, and using data to drive business outcomes and decisions
Strong attention to detail
Excellent written and verbal communication
Must be passionate about contributing to an organization focused on continuously improving consumer experiences


Preferred Qualifications


Experience with R or Python & associated analytics libraries.
Familiarity with a data visualization solution such as QlikView, Tableau, Power BI
Exposure to cloud data platforms: Hadoop, Azure, etc.
Familiar with presenting technical findings to non-technical audiences


Scheduled Weekly Hours

40

Company info

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