• Work with internal and external customers to understand and analyze requirements • Develop business intelligence (BI) solutions using underlying technologies • Contribute to the design, development, testing, documentation, and maintenance of Epic reporting and analytic solutions • Assist with strategies and visualizations to deliver comprehensive solutions for the Organization

• Partner with cross-functional stakeholders to understand business needs, scope requirements, and define analytical approaches that inform decision-making • Conduct exploratory and targeted analyses using analytical methods and business context to generate actionable recommendations • Design and develop business intelligence solutions, including dashboards, reports, and tools that support operational visibility and strategic insights • Lead the development and maintenance of reusable data models and visualizations, ensuring accuracy, scalability, and performance across internal and external reporting at Datavant • Collaborate with data engineering and BI teams to ensure data quality, accessibility, and alignment between source systems and reporting layers • Contribute to the automation of recurring analytical workflows, reducing manual reporting and improving turnaround time for business users • Drive the growth of team practices and analytical maturity by mentoring peers, documenting solutions, and leading process improvements • Stay current on industry best practices in data visualization, BI tools, and analytics methods to continuously elevate team capabilities.

• Develop and Maintain Power BI Solutions: Design, develop, and maintain interactive Power BI dashboards and reports that meet business requirements. • Optimize Power BI reports for performance and scalability. • Implement data security measures to protect sensitive information. • Data Modeling and ETL: Develop and maintain data models within Power BI Desktop. • Extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, cloud storage) using Power Query (M language). • Ensure data quality and accuracy through data validation and cleansing. • Develop tabular, multidimensional models compatible with warehouse standards. • DAX Programming: Write complex DAX formulas to create calculated columns, measures, and tables for insightful analysis. • Optimize DAX code for performance and efficiency. • Implement advanced DAX techniques such as time intelligence and ranking. • Collaboration and Communication: Work closely with business stakeholders to understand their data needs and translate them into effective Power BI solutions. • Collaborate with data engineers and database administrators to ensure data availability and accuracy. • Document data models, ETL processes, and Power BI solutions. • Experience working with data gateway, data integration, self-service data preparation. • Provide training and support to end-users on Power BI report usage. • Best Practices and Standards: Adhere to Power BI development best practices and standards. • Stay up to date with the latest Power BI features and updates. • Contribute to the development and maintenance of a Power BI governance framework. • Troubleshooting and Support: Troubleshoot and resolve issues related to Power BI reports and data sources. • Troubleshoot data connectivity issues and optimize dashboard performance for enterprise-scale implementation Provide ongoing support and maintenance for existing Power BI solutions.

• Own the end-to-end data lifecycle, from ingestion and transformation to delivery, ensuring alignment with business priorities and analytical goals. • Architect and oversee scalable, high-performance data pipelines and warehouse structures that serve as the foundation for company-wide analytics and automation. • Partner with Engineering and Product teams to establish data design standards, naming conventions, and quality benchmarks, ensuring long-term sustainability and performance. • Drive decisions on data architecture, tooling, and storage optimization, balancing scalability, cost, and performance tradeoffs. • Lead data modeling efforts that transform complex, cross-domain data into clear and accessible models supporting business-critical dashboards, experimentation, and AI workloads. • Implement robust data validation frameworks and monitoring systems to proactively detect and resolve data quality issues. • Champion data governance — define standards for access control, lineage, cataloging, and compliance. • Collaborate with security and platform teams to institutionalize best practices for data stewardship and democratized analytics. • Partner with senior business stakeholders to identify high-impact analytical opportunities and translate business questions into scalable data solutions. • Use strong command of SQL, Snowflake, and Python to design complex analytical models and build self-serve dashboards in Tableau or Looker. • Develop and deliver insight frameworks that enable data-informed decision-making across Marketing, Product, and Operations teams. • Mentor analysts and engineers, fostering an environment of learning and technical excellence. • Continuously evaluate and implement emerging data tools and frameworks to enhance speed, accuracy, and reliability of analytics delivery. • Lead initiatives to automate reporting workflows and implement CI/CD for data pipelines, ensuring reproducibility and scalability. • Partner cross-functionally to identify and eliminate data bottlenecks, optimizing for both velocity and reliability in decision support. • Drive a culture of proactive problem-solving through documentation, standardization, and data enablement across teams.