Analytics Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Analytics Engineer (SQL/dbt): Transforming curated data into analytics-ready data models to power reporting and decision-making with an accent on the semantic layer and dimensional modeling. Focus on designing facts and dimensions, optimizing BI performance, and aligning business logic across stakeholders.
Location: Remote (USA); candidates must be willing and able to travel to and work onsite at client or corporate locations as business needs require
Salary: $84,000 - $144,900
Company
A leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and physician groups.
What you will do
- Design and maintain analytics-ready data models, including facts, dimensions, and data marts.
- Develop and manage transformations in the semantic layer using SQL-based tooling and dbt.
- Define and standardize metrics and business logic to ensure consistency across dashboards and reports.
- Partner with product, operations, and finance stakeholders to translate business requirements into data models.
- Optimize data models for clarity, usability, and performance for self-service BI users.
- Implement data quality checks and testing at the analytics layer to ensure reliability.
Requirements
- Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or equivalent experience.
- 2+ years of experience in analytics engineering, BI, or a related role.
- Advanced SQL expertise and hands-on experience with dbt (data build tool).
- Strong understanding of dimensional modeling, metrics design, and semantic layer concepts.
- Experience in healthcare-related operations and understanding of industry terminology.
- Must be based in the USA and able to travel for onsite business needs.
Nice to have
- Openness to innovation including AI to explore better processes and improve experiences.
Culture & Benefits
- Comprehensive benefits package including healthcare, retirement, and well-being programs.
- Investment in professional development with certifications and tuition reimbursement.
- Quarterly and annual incentive programs for high performance.
- Culture rooted in collaboration, growth, and work-life flexibility.
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