Data Analyst Senior

Compensation

: $76,763.33 - $125,470.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Data Analyst Senior

Location

Philadelphia, PA

Telecommuter?

No

ID**

18676

Your career starts now. We re looking for the next generation of health care leaders.

At AmeriHealth Caritas, we re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we d like to hear from you.

Headquartered in Philadelphia, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. Discover more about us at www.amerihealthcaritas.com.

AmeriHealth Caritas Services LLC, Philadelphia, PA, seeks a Data Analyst Sr.-IS to support business needs by collecting and analyzing data from multiple sources to improve data processing and data standardization for Medicaid/Medicare case management and coordination. Gather and analyze data using XML, Javascript, ETL frameworks, Toad, and Tableau to optimize data loads and data transformations. Report data using Business Objects in SQL databases. Use SQL and Oracle to query data and write reports. Develop application specific Logical and Physical data models along with their corresponding data definitions using Erwin Data Modeler. Develop, implement, and maintain databases using Oracle and SQL Server for the collection, tracking, and reporting of research data. Identify, analyze, and interpret trends or patterns in complex datasets using Excel, SPSS, and SAS statistical packages and provide ongoing reports. Document data using Visio and MS Project. Create SDLC documentation and utilize SDLC methodologies for all project deliverables. Develop data analysis and reporting capabilities to optimize statistical efficiency and quality. Create Entity-Relationship using Erwin Data Modeler in order to understand data flows. Monitor performance and quality control plans to identify data improvements. Filter data by reviewing reports and performance indicators to locate and correct code problems. Arrange anomalies of consumption, identify errors in data, and take measures to resolve them. Determine changes in physical databases by studying project requirements and identifying database characteristics. Maintain all data artifacts used across information platforms. Locate and define new process improvement and data standardization opportunities. Requirements: Bachelor s degree (or foreign equivalent) in Computer Science, Engineering (any), or closely related field and 5 years of experience in data analytics. Alternatively, employer will accept a Master s degree (or foreign equivalent) in the same fields and 3 years of experience in data analytics. Experience must also include 3 years in the following: supporting clinical data processing for Medicaid/Medicare case management; analyzing data using XML, Javascript, ETL frameworks, and Tableau; reporting data using Business Objects in SQL databases; using SQL and Oracle to query data, write reports, and develop databases; developing data models using Erwin Data Modeler; analyzing datasets using Excel, SPSS, and SAS statistical packages; documenting data using Visio and MS Project; and creating SDLC documentation and utilizing SDLC methodologies for project deliverables
Associated topics: data administrator, data architect, data center, data engineer, data manager, data management, data quality, data warehouse, data warehousing, etl * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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