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WebMd Guru

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5.0

based on 1 Review

13 WebMd Guru Jobs

QA Analyst

WebMD

5.0

based on 1 Review

3-6 years

Mumbai

1 vacancy

QA Analyst

WebMd Guru

posted 5hr ago

Job Role Insights

Key skills for the job

Medical Coding Data Analysis SQL Oracle Healthcare Analytical Chemistry

+ 4 more

Job Description

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For Company details, visit our website: www.webmd.com and www.nolo.com

Education: B.E. Computer Science/IT degree (or any other engineering discipline)
Experience: 3 + years

Position Requirement:

Proficient in SQL ( analytical functions, trending, windowing)- Traditional (for e.g. MSSQL, Oracle, PostgreSQL) or Columnar (like Vertica, Amazon, Redshift)
Experience with data QA and ETL / ELT (data pipelines) QA
Experience working closely with teams outside of IT (i.e. Business Intelligence, Marketing Adops, Sales)
Strong understanding of the Web Analytics, metrics, KPIs, and reporting
Experience with automating regression tests, reporting platforms (for e.g. Tableau or Pentaho BI) and ETL tools (for e.g. Pentaho or Talend) will be an added advantage
Understanding of Ad stack, Email data and data (Ad servers, DSM, DMP etc) is good to have

Role Responsibilities:

Performing statistical tests on large datasets to determine data quality and integrity
Evaluating system performance and design, as well as its effect on data quality
Collaborating with database developers to improve data collection and storage processes
Running data queries to identify coding issues and data expectations, as well as cleaning data
Gathering data from primary or secondary data sources to identify and interpret trends
Reporting data analysis findings to management to inform business decisions and prioritize information system needs
Documenting processes and maintaining data records
Adhering to best practices in data analysis and collection
Keeping abreast of developments and trends in data quality analysis