Data Analyst
Job ID 2026-1659
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.
Responsibilities:
- With guidance from the director and in collaboration with the Analytics and Automation team, you will:
- Collaborate with business users to gather reporting requirements and define automation objectives.
- Architect, code, test, and deploy Python scripts/applications to extract data, transform it, and generate scheduled reports.
- Build dynamic report templates (PPT) and automate distribution via email, shared drives, Slack, or other channels.
- Incorporate logging, error handling, retry logic, and alerting to ensure end-to-end reliability.
- Manage version control (Git).
- Monitor automation performance; troubleshoot production issues and deliver timely fixes.
- Document automation architecture, codebases, and operational runbooks; share best practices.
- Continuously evaluate new tools, libraries, and frameworks to enhance automation capabilities.
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Data Science, Software Development, or a related field.
- 2+ years in automation or software engineering roles.
- Strong Python proficiency and libraries (trong understanding of Object-Oriented Programming (OOP) concepts; Good knowledge of memory management in Python; Proficiency in Pandas and NumPy; Moderate Python coding skills with awareness of time and space complexity; Ability to write clean, modular, and maintainable code; Strong debugging and problem-solving skills; Basic understanding of concurrency concepts).
- Basical understanding of SQL and ETLs
- Experience generating/formattings reports (Excel, PDF, HTML, PPT).
- Version control (Git) and collaborative workflows.
- Knowledge of security best practices for handling sensitive data.
- Excellent numerical and analytical skills, with exceptional attention to detail
- Strong problem-solving ability and ability to work quickly under pressure
- Outstanding time management, organizational skills, and documentation practices
- Clear verbal and written communication, capable of translating technical concepts for non-technical stakeholders
Preferred Qualifications
- Familiarity with cloud platforms (AWS, Azure, GCP) for compute, storage, or serverless.
- Exposure to BI tools (Tableau, Power BI, Looker) and programmatic interfaces.
- understanding of AI/ML processing frameworks and techniques (e.g. TensorFlow, PyTorch, scikit-learn) and how they can be integrated into automation workflows
- Experience in big data environments
- Experience working in a sales-driven or highly matrixed organization