QualDerm Partners

Analytics Engineer

QualDerm Partners

full-time

Posted on:

Location Type: Hybrid

Location: Brentwood • Tennessee • United States

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Tech Stack

CloudETLMatillionPythonSQL

About the role

  • 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.

Requirements

  • Education and/or Experience Requirements:
  • - Bachelor’s degree in business, healthcare, finance, computer science, or a related field.
  • - 2–4 years of experience as a Data Analyst (healthcare experience preferred).
  • - Proficiency in SQL; familiarity with Snowflake or other cloud data warehouses.
  • - Experience building dashboards and reports in Power BI or a similar visualization tool.
  • - Exposure to ETL/ELT concepts and modern data tools (e.g., Fivetran, dbt, Coalesce, Matillion).
  • - **Required: **Familiarity with forecasting and predictive modeling concepts (time series, regression, trend/seasonality).
  • - **Preferred/Growth Opportunity: **Hands-on experience building or maintaining forecasting models using Python, Snowflake ML, or other tools.
  • - Strong analytical and problem-solving skills with attention to detail.
  • - Ability to communicate complex data insights clearly to non-technical stakeholders.
  • - Team-oriented with the ability to work independently and manage multiple priorities.
  • Abilities, Skills, and Qualifications:
  • - Solid foundation in data analysis, reporting, and visualization.
  • - Familiarity with **AI/ML concepts, forecasting models, and automation platforms** preferred.
  • - Ability to work effectively in cross-functional teams spanning clinical operations, finance, marketing, and IT.
  • - Strong communication skills, both written and verbal.
  • - Self-starter who is eager to learn **new technologies and innovations in data, forecasting, and AI.**
  • - Knowledge of medical practice and care.
Benefits
  • **Benefits of joining Qualderm Partners:**
  • - **Competitive Pay** – Attractive compensation to reward your hard work
  • - **Comprehensive Health Coverage** – Includes Medical, Dental, and Vision plans to keep you covered
  • - **Generous 401(k) Plan** – Company matches 100% of the first 3%, plus 50% of the next 2%, with immediate vesting
  • - **Paid Time Off (PTO)** – Unlimited, unaccrued paid time off plus 6 company paid holidays
  • - **Company-Paid Life Insurance** – Peace of mind with basic life coverage, with the option for additional plans
  • - **Disability Protection** – Short-term and long-term disability coverage to protect you in unexpected circumstances
  • - **Additional Wellness Plans** – Accident, critical illness, and identity theft protection plans for extra security
  • - **Employee Assistance Program (EAP)** – Access confidential support for personal or work-related challenges
  • - **Exclusive Employee Discounts** – Save on products and services with special discounts just for you
  • - **Referral Bonus Program** – Earn bonuses by referring qualified candidates to join the team

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythondata analysisdata visualizationforecasting modelspredictive modelingETLELTdashboard developmentreporting
Soft skills
analytical skillsproblem-solvingcommunication skillsteam-orientedattention to detailself-starterability to manage multiple prioritiescross-functional collaborationclear communication of data insightseagerness to learn