Healthcare / Hospital - Data Analyst - Phoenix, AZ or US Remote at NTT Data Services in Phoenix, Arizona

Posted in Other 8 days ago.





Job Description:

Req ID:143129

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.


We are currently seeking a Data Analyst to join our team. This position will work remotely from your home office located within the US. Preference for candidate to be within the local Phoenix, Arizona area. This position will work be required to work the local business hours of Phoenix, Arizona.

NTT DATA Services is committed to improving patient outcomes by creating efficiencies across the healthcare ecosystem. A recognized leader in the healthcare space, the company delivers targeted segment solutions including patient engagement, predictive analytics, healthcare cloud hosting, integration and interoperability, clinical and claims application implementation, revenue cycle management and policy administration, in addition to core managed infrastructure, application and business process services. Clients include more than 1,800 hospitals, 2,200 long-term care facilities, 225 acute care facilities, 43,000 clinicians, 1,000 physician practices and 50 insurance providers in support of 65 million policy holders.

Job Responsibilities Include:


  • Untangle ambiguous data problems and help drive product excellence

  • Independently compile, analyze, validate, map, and transform data using data validation and statistical methods

  • Interpret data and analyze results using statistical techniques and provide ongoing reports

  • Identify, analyze, and interpret trends or patterns in complex data sets

  • Independently review logical and physical data models and provide input to enhance data quality

  • Support databases and processes to update data as needed

  • Work directly with Product Owners to understand requirements and needs; actively participate in the development and delivery of data solutions to support those requirements

  • Automation of data uploads and downloads using standard ftp tools as well as custom ETL processing

  • Ensure data quality, compliance, and consistency of master data across business systems

  • Work with business units and process experts to resolve master data issues

  • Should be good in implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets

Basic Qualifications:


  • Minimum of 5 years of experience in Business Data Analysis / Business Intelligence: Technical expertise regarding data models, database design development, data mining and segmentation techniques

  • Minimum of 3 years of experience doing Business Data Analysis using Python

Preferred Skills:


  • Education: Bachelors / Masters of Computer Application or equivalent engineering / IT degree from an accredited University

  • Preferred experience working with Hive and public cloud platform like AWS

  • Experience in Healthcare (preferred)


About NTT DATA Services

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

NTT DATA Services is an equal opportunity employer and will consider all qualified applicants for employment without regard to race, gender, disability, age, veteran-status, sexual orientation, gender identity, or any other class protected by law. To learn more, please visit https://us.nttdata.com/en/about-us/content/diversity-and-inclusion. Furthermore, NTT DATA Services will make accommodations for eligible applicants on a case-by-case basis. Please email EEOOfficer@nttdata.com for assistance.

INDHCLSMC






Nearest Major Market: Phoenix




Job Segment:
Database, Consulting, Cloud, Business Intelligence, Data Mining, Technology