• Design and partner with engineering to deliver high-performance tables, dynamic views, and data pipelines, ensuring optimal query performance and scalability for Fulfillment Data Consumers. • Develop sophisticated, "at-a-glance" visualizations in Looker that translate trends and efficiencies into actionable insights. • Leverage Snowflake Cortex to deploy LLM-powered functions or predictive forecasting directly within our data platform. • Analyze complex data to optimize fulfillment metrics, propose changes to our planning strategies, or help our fulfillment centers run more optimally. • Provide leadership oversight to ensure that—across all the programs we're working on throughout VCS and with our cross-functional stakeholders—we prioritize our work and resources effectively, measure impact, and deliver results. • Act as a consultant to leaders across Product Management, Sales, Finance, Systems Integrations, and others, transforming vague business questions into rigorous analytical frameworks and developing mutually beneficial working relationships.

• Oversee daily business intelligence operations and analytics service delivery • Guide a team of ETL developers for accurate, secure, and scalable data solutions • Implement and enforce security and compliance controls • Manage vendor relationships and evaluate solutions • Develop and manage budgets and forecasts

• Define and execute Ivy Fertility's enterprise BI and analytics strategy aligned with business and clinical priorities • Partner with IT on the roadmap for completing data warehouse • Own analytics, dashboards, and self-service reporting companywide • Establish and manage data governance, definitions, KPI frameworks, and data quality standards • Partner with IT on the design and build-out of a centralized data warehouse integrating EMRs, billing, RCM, and operational systems • Partner with IT on vendors, and data providers to ensure reliable and secure data pipelines • Deliver standardized and ad-hoc reporting to support enterprise decision-making • Serve as a trusted analytics partner to executive, clinical, and operational leaders • Build and lead a high-performing BI and analytics team

Role Description We don’t need someone to "build reports." We need someone who understands data as a product. Our business runs on decisions. Decisions depend on metrics. Metrics depend on well-modeled, reliable data. That’s where you come in. You’ll help us design and own the analytical layer of our data platform, from modeling raw data into clean, trusted datasets to delivering insights that leadership actually uses. We are looking for a BI Developer who is comfortable working across the full BI stack: from raw data to business-facing dashboards. This role is hands-on and technical. You'll be building data models, shaping datasets, and delivering reporting solutions that people actually use to make decisions. You should care about data quality, performance, and clean modeling, not just making dashboards look good. What You'll Be Doing - Design, develop, and maintain BI solutions (reports, dashboards, and data models) that support operational and strategic decision-making. - Translate business requirements into scalable data models and meaningful visualizations. - Build and optimize ETL/ELT processes to ensure reliable and timely data availability. - Work closely with Data Engineers to improve data quality, performance, and architecture. - Partner with business stakeholders to define KPIs and ensure consistent metric definitions. - Improve existing reporting solutions, focusing on usability, performance, and maintainability. - Support data governance practices and documentation standards. - Troubleshoot data issues and proactively identify opportunities for improvement. Qualifications - Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. - 3+ years of experience as a BI Developer, Data Analyst, Analytics Engineer, or in a similar role. - Strong experience with SQL and relational databases. - Experience building interactive dashboards using tools such as Power BI, Tableau, or Looker. - Solid understanding of data modeling concepts (star schema, snowflake schema, dimensional modeling). - Experience designing and maintaining ETL/ELT pipelines. - Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud is a plus. - Knowledge of data warehousing principles and best practices. - Experience with version control tools (e.g., Git) is considered an advantage. - Experience working in Agile environments is preferred. - Excellent organizational and time management skills. - Fluent in English (written and spoken).