Our Client is seeking a Data/Business Analyst – Engineering.
Responsibilities:
- Design, develop, and maintain scalable data pipelines supporting consumer intelligence and segmentation strategies
- Build and manage datasets within Snowflake, including creating and maintaining tables and optimizing performance
- Translate business strategy into technical logic, SQL development, and audience segmentation frameworks
- Develop reusable, well-documented processes that improve speed, quality, and scalability
- Partner with cross-functional stakeholders to convert insights into activation-ready cohorts
- Support production work while also building long-term, repeatable data solutions
- Leverage AI tools (e.g., ChatGPT, Copilot, Snowflake Cortex) to improve development efficiency, QA, and automation
- Contribute to building an -AI-first- data culture by identifying opportunities for prompt engineering and automation
Requirements
- Bachelor’s degree required
- 5+ years of experience in data engineering, analytics, or a related field
- Strong SQL expertise with hands-on experience developing complex queries and transformations
- Experience with Snowflake or similar modern cloud data warehouse technologies
- Proven ability to translate business requirements into technical data solutions
- Experience working with healthcare data, specifically Epic Clarity (required) and Caboodle (preferred)
- Strong data analytics foundation, including cohort development, segmentation, and data interpretation
- Experience presenting insights and working closely with business stakeholders
Preferred Qualifications:
- Epic certification (highly preferred)
- Experience with Epic Cheers (nice to have)
- Familiarity with Customer Data Platforms (CDPs) and marketing activation strategies
- Understanding of email marketing concepts and audience targeting
- Exposure to data science concepts (e.g., propensity modeling, scoring frameworks)
- Experience using AI tools to enhance development workflows and code quality
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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