WebMD

Business Data Analyst

WebMD Navi Mumbai, Maharashtra, India

Technology, Information and Internet · 1,001-5,000 employees

Jun 08
data-analyst Mid (2-5 yrs) Full-time India
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About the role

The role involves defining requirements for data quality projects and documenting complex data flows using AI tools. You will collaborate with cross-functional teams to build an enterprise-level data quality validation inventory and integrate complex datasets.

What they look for

SQL Python Google Gemini Prompt Engineering PostgreSQL Vertica Tableau Looker Pentaho Informatica Data Quality Business Intelligence System Diagramming ETL Google Analytics Salesforce

Requirements

Candidates must have 4+ years of experience with database technologies and expert-level proficiency in SQL. Experience with AI tools, prompt engineering, and reporting platforms like Tableau or Looker is required.

Full description

About the Company:

Headquartered in El Segundo, Calif., Internet Brands® is a fully integrated online media and software services organization focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company’s award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. Internet Brands' powerful, proprietary operating platform provides the flexibility and scalability to fuel the company’s continued growth. Internet Brands is a portfolio company of KKR and Temasek.

WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD®, Medscape®, CME Circle®, Medpulse®, eMedicine®, MedicineNet®, theheart.org®, and RxList® are among the trademarks of WebMD Health Corp. or its subsidiaries.

For Company details, visit our website: www.webmd.com / www.internetbrands.com

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

We currently support multiple verticals and business units in Health (Medscape / WebMD) and Legal, as well as many datasets across varied databases. Weare building a DQAI platform to analyze non-standard data quality issues, which uses multiple LLM models for different DQ applications.

 Minimum Qualifications:   

  • Experience with AI   tools , including using Google Gemini, developing GEMS and agents, prompt engineering, Claude, and a proactive willingness to explore AI applications for daily business use cases and improving team productivity

 

  • 4+ years of hands-on experience  working with database technologies (PostgreSQL, Vertica, GBQ, DorisDB, Vertica)

 

  • Exceptional documentation, system diagramming (e.g., MIRO/Visio), and communication skills 

 

  • Expert-level proficiency in SQL 

 

  • Familiarity with  ETL tools  such as Pentaho and Informatica

 

  • Experience utilizing  reporting platforms  (Tableau, InHouse, Looker)

 

  • Experience with  Web analytics or Business Intelligence tools 

 

  • Knowledge of Python  is an added advantage

 

  • Understanding of one or more marketing/analytics platforms: Omniture, Exact Target, Google Analytics, DFP, or Salesforce

 

  • Self-motivated  individual with a willingness to learn new technologies and business processes, and the initiative to take ownership beyond basic responsibilities

 

Key Responsibilities:   

  • Provide analysis and define requirements for multiple  data quality projects 

 

  • Document complex data flows  across the organization using AI

 

  • Analyze business requirements  and design scenarios required for the team's automation efforts

 

  • Collaborate closely with non-IT teams  (e.g., Business Intelligence, Finance, Marketing, Sales) to accurately capture and understand data quality requirements

 

  • Build an enterprise-level data quality validation inventory  covering various data sources

 

  • Connect and integrate complex datasets  to enable deeper analysis and robust data validation

 

  • Translate complex SQL queries  and concepts into terms easily understood by both technical and non-technical audiences

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