Remote Enterprise Data Analyst: Lead Data Projects

HCSC Group; United States; Remote; USD 102,000 - 184,000; Full time

Job summary

HCSC is seeking an experienced Data & Analytics Delivery Lead to oversee end-to-end data components across projects, partnering with Health Tech and Divisional Analytic teams. You will guide requirements, architecture decisions, and agile delivery to drive measurable outcomes.

Ideal candidates have a Bachelor's degree with 7+ years in data analytics (or equivalent), strong project leadership, and deep knowledge of big data, data processing environments, and SDLC methodologies.

Qualifications

• 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

Responsibilities

• Oversee end-to-end delivery of data components across projects
• Manage service to Health Tech and Divisional Analytic teams (Dat)

Skills

Project leadership

Requirements management

System architecture

Big data technologies

Data processing environments

Agile project management

SDLC / Agile / Scrum

Communication (oral & written)

Business acumen

Education

Bachelor degree

Job description

HCSC is seeking an experienced Data & Analytics Delivery Lead to oversee end-to-end data components across projects, partnering with Health Tech and Divisional Analytic teams. You will guide requirements, architecture decisions, and agile delivery to drive measurable outcomes.

Ideal candidates have a Bachelor's degree with 7+ years in data analytics (or equivalent), strong project leadership, and deep knowledge of big data, data processing environments, and SDLC methodologies.