Location: Remote (U.S. based)

Status: Per Diem | Project Based

About the Role

The AI Data Analyst builds data pipelines and predictive models to detect pricing anomalies, forecast margin risk, and surface contract compliance gaps.

Key Responsibilities

Collect, clean, and blend data from ERP, CRM, CPQ, and contract systems.

Develop machine learning models for price performance and churn/retention risk.

Create BI dashboards that translate findings into actionable insights.

Automate anomaly detection for chargebacks, rebates, and noncompliant pricing.

Document methodologies and validate model accuracy with business owners.

Present findings to clients and support change adoption.

Qualifications

Bachelor’s in Data Science, Computer Science, or related field.

3+ years in analytics or data science with commercial datasets.

Proficiency in Python and SQL; BI tools such as Power BI or Tableau.

Understanding of model validation and experiment design.

Strong storytelling and executive-ready visualization skills.

Preferred Experience

Experience with healthcare or life sciences data.

Knowledge of NLP for contract clause analysis.

Familiarity with MLOps and version control.

Apply Now - email resume to omarkdissi@gmail.com