Role Overview
The role works closely with data engineering, analytics, business intelligence, IT, application teams, and RCM operational stakeholders. It collaborates with subject-matter experts to ensure data products address real workflows and produce interpretable, actionable results.
What You Will Do
Reliable, well-documented Fabric pipelines and curated datasets that meet agreed freshness and quality expectations. Reduced time spent on manual data preparation and reconciliation for RCM reporting and analysis. Analytics and models that are adopted by stakeholders and demonstrate measurable operational value.
Why It Might Be a Fit
Strong problem-solving, documentation, collaboration, and prioritization skills. Ability to explain technical findings to both technical teams and business stakeholders.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
- Demonstrated hands-on experience engineering data solutions in Microsoft Fabric
- Strong SQL skills and experience with Python for data preparation, analysis, and model development
- Experience building production-quality data pipelines, transformations, and analytical data models
- Working knowledge of data warehousing, dimensional modeling, data quality testing, and pipeline monitoring
- Experience applying statistical or machine-learning techniques to real-world business problems, including model evaluation and communication limitations
- Ability to explain technical findings to both technical teams and business stakeholders
- Strong problem-solving, documentation, collaboration, and prioritization skills
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