> Markdown version of [/jobs/ext/4092063-enterprise-data-analyst-spec](https://www.wearedevelopers.com/jobs/ext/4092063-enterprise-data-analyst-spec). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Analyst Spec - **Company:** Health Care Service Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $102,000.0 - $184,300.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Big Data, Systems Development Life Cycle, Requirements Management, Systems Architecture, Enterprise Data Management, Data Processing, Information Technology, Data Analytics - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d51fad0e889c2ab8 ## About the Role * Bachelor degree and 7 years of data and analytics experience OR Technical Certification and/or college courses and 9 years of data and analytics experience OR 11 years of data and analytics experience * 2 years of experience leading projects * Experience in requirements management and/or prototyping * Knowledge of system architecture * Knowledge of big data and analytical technologies * Knowledge of data processing environments * Knowledge of Agile project management * Ability to simplify & standardize complex concepts and/or processes * Business acumen * SDLC (systems development life cycle) / Iterative / Agile / Scrum development * Oral & written communication skills Preferred Job Qualifications: * Bachelor Degree in Computer Science, Business Administration, or Information Technology ## Description At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. This Position Is Responsible For Overseeing The End-To-End Delivery Of Data Components Of Projects, Managing Service To Both Health Tech And Divisional Analytic Teams (Dat).