QualDerm Partners, LLC partners with physicians and staff to provide highest quality clinical care to patients. We provide the full spectrum of dermatology, skin cancer care, cosmetics, plastic surgery in 17 states and across 158 practice locations. We seek to hire best in class talent and commit to provide a positive combination of environment, technology, teamwork and personal reward opportunities to earn your confidence that we are your best place to work.
Purpose:
The Analytics Engineer plays a key role in QualDerm’s journey to becoming a data-driven organization. This position is responsible for collecting, analyzing, and visualizing data to help leaders make better decisions across clinical, operational, financial, and patient-experience functions. The Analytics Engineer will work closely with business stakeholders and the Data & Analytics team to transform raw data into actionable insights, supporting initiatives such as patient demand forecasting, call center optimization, provider utilization, and revenue cycle improvement.
The role also involves leveraging AI-assisted tools, forecasting models, and automation platforms to accelerate workflows, improve efficiency, and enhance the quality of analytics deliverables. The Analytics Engineer is expected to stay informed about emerging technologies in analytics, forecasting, AI, and automation to continually advance QualDerm’s data capabilities.
- Partner with business stakeholders to understand reporting and analytics needs.
- Develop and maintain dashboards, reports, and self-service tools in Power BI to monitor KPIs and track business performance.
- Write and optimize SQL and Python to extract and transform data from Snowflake and other systems.
- Collaborate with senior analysts, data engineers, and business users to ensure high-quality data and reliable reporting.
- Support the design and maintenance of semantic models and the silver/gold layers of QualDerm’s medallion data architecture.
- Conduct ad hoc analyses to answer key business questions related to patients, providers, call center activity, financial performance, and marketing.
- Identify opportunities to use AI, forecasting models, and automation tools (e.g., AI copilots, anomaly detection, predictive analytics) to improve reporting and analysis workflows.
- Apply knowledge of basic forecasting concepts (time series, seasonality, trend analysis, exogenous factors) to support forward-looking business insights.
- Support data governance by validating data accuracy and documenting key business definitions.
- Research and recommend new tools, methods, and best practices in the analytics, forecasting, and AI space to enhance QualDerm’s data platform.
- Perform other essential duties as assigned.
