Senior Data Analyst

Humana Inc.
Morgantown, WV, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Word Microsoft Excel Business Analytics Applications Data Analysis Data Files Data Mining Data Systems Data Visualization R (Programming Language) Python (Programming Language) Microsoft PowerPoint Power BI
+4 more
SAS (Software) SQL Databases Tableau (Software) Information Technology

Job description

The Senior Data Analyst role solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Data Analyst work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

As part of the Pharmacy Analytics and Consulting team, you will leverage complex data to support modeling and process improvements by using business expertise and analytics. These actionable insights will support our internal partners to drive business strategy and decisions.

The role will focus on optimizing enterprise value through Pharmacy Quality Network’s program and Network pricing strategies. Support the Quality Network team by tracking adherence measures of the program and the resulting financial impact.

Requirements

Bachelor’s degree and 5 or more years of technical experience in data analysis OR Master’s degree and 3 or more years of experience

Comprehensive knowledge of Microsoft Office Applications including Word, Excel, and PowerPoint

Advanced experience working with big and complex data sets within large organizations

Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction

Proficiency in understanding Healthcare related data

Proficiency in verbal and written communication to senior and executive leadership

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Basic knowledge of coding in either, SQL or SAS

Preferred Qualifications

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

Advanced in SQL, SAS, R, Python and other data systems

Experience with tools such as Tableau and PowerBI for creating data visualizations

Expertise in data mining, forecasting, simulation, and/or predictive modeling

Experience creating analytics solutions for various healthcare sectors

Pharmacy Pricing Experience

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