• Lead and develop complex data model designs for business intelligence tools • Serve as mentor to colleagues by sharing knowledge and skillsets pertinent to a successful analytics team • Lead the conversation of customer requests into technical requirements • Conduct hands-on analysis, ensuring deliverable commitments are met • Work with operational teams on developing reporting/dashboard solutions and analyses • Enable process improvement, new product adoption, and other enhancements • Research and identify operational business requirements with sufficient detail and clarity to allow development of the data or reporting solution needed • Collaborate closely with business stakeholders, including product management, business development, customer service, and clients • Analyze healthcare data including medical procedures, health conditions, and provider practices • Apply statistical, predictive modeling, and/or data mining techniques to develop analytical solutions • Create complex but easy to use data models for end-users to create data analytics products such as dashboards and reports • Work with engineering teams to enhance data model, improve ETL methodologies, and optimize cloud computing performance • Create interactive BI dashboards and visualizations • Apply business acumen to enhance data cleaning and curation methodologies • Identify data abnormalities and their root causes, suggest possible steps for mitigation • Assess and explain impact of data and methodology changes on analysis results to technical and non-technical audience • Identify opportunities for process improvement

• Design, enhance, and support interactive BI reports, dashboards, and analytical models using Power BI • Create and maintain semantic models, calculations, and metrics using DAX and Power Query • Develop, tune, and maintain SQL-based data transformations to support reporting and analytics • Consolidate and harmonize data from enterprise systems such as ERP platforms, data lakes, and other structured sources • Partner with Finance and Accounting stakeholders to convert reporting needs into scalable BI solutions • Reduce manual reporting effort by automating data preparation, refreshes, and delivery processes • Analyze and resolve data, performance, and usability issues across reports and datasets • Maintain data accuracy, consistency, and compliance with internal governance and control standards • Produce and maintain technical documentation and end-user guidance for BI assets • Collaborate with business analysts and cross-functional teams to ensure solutions align with operational requirements • Provide on-call or after-hours support during limited, business-critical periods when required

• Solve complex business problems and issues using data from internal and external sources to provide insight to decision-makers • Work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors • Describe the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information • Begin to influence department’s strategy and make decisions on moderately complex to complex issues regarding technical approach for project components

• Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. • Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. • Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. • Partner with FP&A and product teams to ensure 100% alignment between financial and operational data by the end of the second quarter. • Deliver ad hoc strategic analyses with clear financial or strategic recommendations, averaging one per month. • Lead and document improvements to at least two core Looker Explores or dashboard structures to enable scalable self-service by end of H1.