Baylor University Medical Center
Business Intelligence - Analytics Developer III - Hybrid
Baylor University Medical Center, Dallas, Texas, United States, 75215
Analytics Developer
The VBC Analytics team is a unified, independent organization supporting the analytical needs of both the BSW Health Plan and Quality Alliance (ACO). Our structure enables close alignment with stakeholders and subject matter experts (SMEs) across operational domains. We support over 1.2 million lives across diverse lines of business, delivering industry-leading insights to drive strategic decision-making. We are seeking a self-motivated, stakeholder-facing Analytics Developer who can own the full product lifecyclefrom requirements gathering to design, development, governance, and delivery. The ideal candidate will drive insights into medical trends, utilization patterns, and strategic initiatives, particularly within our Commercial and Direct-to-Employer (DTE) segments. Schedule: Will meet onsite at our Dallas office; team quarterly events, department trainings, company events such as State Fair, holiday celebrations, etc. Others as needed. Essential Functions of the Role
Data Integration & Analysis (20%): Work with Snowflake SQL, dbt, and Python to analyze medical and pharmacy claims and EHR data. Architecture & Modeling (25%): Design scalable data architecture and dimensional models using best practices in analytics engineering. Product & Process Management (25%): Support and enhance existing analytics products, enforce standards, automate workflows, and implement governance policies. Ad Hoc Analysis (20%): Deliver exploratory insights, create metrics, analyze trends, and support performance monitoring. Professional Development (5%): Dedicate time weekly for continuous learning and skill advancement. Team Contributions (5%): Collaborate cross-functionally and mentor junior developers through code reviews and knowledge sharing. Develop and maintain scalable data models, pipelines, and reporting assets to support advanced analytics. Collaborate with stakeholders, data engineers, and product managers to translate business needs into technical solutions. Write and optimize complex SQL queries, particularly in Snowflake, for efficient handling of large datasets. Design and manage cloud-based data workflows using platforms like Azure, AWS, or GCP. Build and maintain Power BI dashboards and reports that drive business outcomes with advanced visuals, DAX, and Power Query. Integrate and operate AI-powered analytics using platforms like Snowflake Cortex Analyst and Databricks Genie. Collaborate with data scientists and domain experts to build and refine semantic models that improve the accuracy of AI-generated SQL queries and visualizations. Evaluate current processes to reduce manual intervention and move towards automation. Lead and contribute to architectural decisions and technical roadmap planning. Ensure data integrity, performance, and security via strong governance practices and quality controls. Key Success Factors
Bachelors degree in computer science, Information Technology, or a related field or equivalent experience required. 5+ years of experience analyzing medical trends and healthcare data preferred. 5+ experience with Snowflake or equivalent data platforms preferred. 5+ years of experience building Power BI dashboards with advanced visuals, DAX, and Power Query preferred. Strong background in data modeling, architecture design, and analytics engineering. Excellent communication skills with both technical and business audiences. Proficiency in Python for scripting, automation, and data manipulation. Experience with dbt for transformation workflows and modular SQL development. Familiarity with Agile/SCRUM methodologies and SDLC best practices. Experience embedding AI/BI capabilities into business tools (Power BI, Streamlit, Teams, etc.). Experience with Epic Clarity and Snowflake SQL for clinical, operational, or financial analytics. In-depth understanding of the healthcare ecosystem, including payer-provider dynamics. Exposure to Power Platform tools like Power Automate and Power Apps. Exposure to data science methodologies and analytical frameworks. Belonging Statement: We believe that all people should feel welcomed, valued, and supported, and that our workforce should be reflective of the communities we serve. Qualifications: Education - Bachelors Degree or 4 years of work experience above the minimum qualification. Experience - 5 years of experience.
The VBC Analytics team is a unified, independent organization supporting the analytical needs of both the BSW Health Plan and Quality Alliance (ACO). Our structure enables close alignment with stakeholders and subject matter experts (SMEs) across operational domains. We support over 1.2 million lives across diverse lines of business, delivering industry-leading insights to drive strategic decision-making. We are seeking a self-motivated, stakeholder-facing Analytics Developer who can own the full product lifecyclefrom requirements gathering to design, development, governance, and delivery. The ideal candidate will drive insights into medical trends, utilization patterns, and strategic initiatives, particularly within our Commercial and Direct-to-Employer (DTE) segments. Schedule: Will meet onsite at our Dallas office; team quarterly events, department trainings, company events such as State Fair, holiday celebrations, etc. Others as needed. Essential Functions of the Role
Data Integration & Analysis (20%): Work with Snowflake SQL, dbt, and Python to analyze medical and pharmacy claims and EHR data. Architecture & Modeling (25%): Design scalable data architecture and dimensional models using best practices in analytics engineering. Product & Process Management (25%): Support and enhance existing analytics products, enforce standards, automate workflows, and implement governance policies. Ad Hoc Analysis (20%): Deliver exploratory insights, create metrics, analyze trends, and support performance monitoring. Professional Development (5%): Dedicate time weekly for continuous learning and skill advancement. Team Contributions (5%): Collaborate cross-functionally and mentor junior developers through code reviews and knowledge sharing. Develop and maintain scalable data models, pipelines, and reporting assets to support advanced analytics. Collaborate with stakeholders, data engineers, and product managers to translate business needs into technical solutions. Write and optimize complex SQL queries, particularly in Snowflake, for efficient handling of large datasets. Design and manage cloud-based data workflows using platforms like Azure, AWS, or GCP. Build and maintain Power BI dashboards and reports that drive business outcomes with advanced visuals, DAX, and Power Query. Integrate and operate AI-powered analytics using platforms like Snowflake Cortex Analyst and Databricks Genie. Collaborate with data scientists and domain experts to build and refine semantic models that improve the accuracy of AI-generated SQL queries and visualizations. Evaluate current processes to reduce manual intervention and move towards automation. Lead and contribute to architectural decisions and technical roadmap planning. Ensure data integrity, performance, and security via strong governance practices and quality controls. Key Success Factors
Bachelors degree in computer science, Information Technology, or a related field or equivalent experience required. 5+ years of experience analyzing medical trends and healthcare data preferred. 5+ experience with Snowflake or equivalent data platforms preferred. 5+ years of experience building Power BI dashboards with advanced visuals, DAX, and Power Query preferred. Strong background in data modeling, architecture design, and analytics engineering. Excellent communication skills with both technical and business audiences. Proficiency in Python for scripting, automation, and data manipulation. Experience with dbt for transformation workflows and modular SQL development. Familiarity with Agile/SCRUM methodologies and SDLC best practices. Experience embedding AI/BI capabilities into business tools (Power BI, Streamlit, Teams, etc.). Experience with Epic Clarity and Snowflake SQL for clinical, operational, or financial analytics. In-depth understanding of the healthcare ecosystem, including payer-provider dynamics. Exposure to Power Platform tools like Power Automate and Power Apps. Exposure to data science methodologies and analytical frameworks. Belonging Statement: We believe that all people should feel welcomed, valued, and supported, and that our workforce should be reflective of the communities we serve. Qualifications: Education - Bachelors Degree or 4 years of work experience above the minimum qualification. Experience - 5 years of experience.