Role Description This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion). This role will serve as a launchpad for a data career for candidates who are passionate about data. As a Power BI Analytics Developer on our Data Insights & Innovation team, the candidate will be a key player from day one. The role offers hands-on experience in building real reports and dashboards using Microsoft Power BI that users need to make critical decisions. The candidate will work closely with senior analysts and business stakeholders to design, develop, and maintain interactive Power BI reports and dashboards. This is an excellent opportunity for the candidate to gain real-world experience in the full lifecycle of analytics development, from data modeling to visualization, in a dynamic and supportive environment. Qualifications - Currently pursuing a Bachelor’s degree in Data Analytics, Computer Science, Engineering, Mathematics, Statistics, Renewable Energy, or a related field. - Basic experience with Microsoft Power BI, Tableau, or a similar data visualization tool. - Understanding of database concepts and data modeling. - Basic knowledge of SQL. - Strong analytical and problem-solving skills with attention to detail. - Ability to work collaboratively in a fast-paced, team-oriented environment. - Excellent verbal and written communication skills. Requirements - Assist in development of Power BI reports and dashboards to replace existing reports and dashboards in WebFOCUS. - Perform data validation and quality checks to ensure the accuracy and reliability of reports. - Assist in development of clear, compelling, and user-friendly visualizations that tell a story and facilitate data-driven decision-making. - Document data sources, report logic, and development processes to ensure knowledge sharing and maintainability. Benefits - Hands-on experience with the Microsoft Power BI and potentially connecting to various data sources. - A deep understanding of how data analytics drives key business decisions across different functions. - Experience working in a professional Agile/Scrum environment, managing tasks, and meeting deadlines. - Mentorship from experienced data professionals and opportunities for networking. Americans with Disability Specifications - The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. - While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. - The employee must occasionally lift and/or move up to 25 pounds. - Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment - This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace. - Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Role Description The Business Intelligence (BI) Architect is responsible for designing and delivering analytics content that supports clinical, financial, operational, and administrative reporting needs. The BI Architect partners with data engineering, analytics, application owners, and business stakeholders to ensure the delivery of scalable, secure, and high-performing analytics solutions in Power BI that align with organizational goals and compliance requirements. This position is eligible for remote work within Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually, and must comply with the remote work program and related policies and employee travel policy when working at a remote location. Responsibilities - Power BI Architecture and Governance - Architect and maintain the enterprise-wide Power BI environment, including scalable workspace structures, standardized naming conventions, and robust deployment pipelines to support agile report delivery and ongoing development. - Define and enforce governance policies around certified content, data source connections, gateway configuration, and dataset refresh schedules. - Manage and optimize Microsoft Fabric capacities, proactively monitoring utilization, workload distribution, and scaling requirements to support performance and growth. - Establish repeatable processes for app deployment, workspace lifecycle management, version control, and metadata publishing to support both central IT teams and decentralized report developers. - Drive adoption of modern Power BI and Fabric features by aligning architectural decisions with the enterprise analytics strategy and Microsoft’s roadmap, including integration with Direct Lake, OneLake, and Real-Time Intelligence. - Enterprise Semantic Model Architecture - Design and implement robust, enterprise-grade semantic models using Power BI and Fabric, focusing on reusability, scalability, and alignment with business domains. - Define and uphold modeling standards related to naming conventions, folder organization, measure logic (DAX), and data categorization to ensure consistency and ease of use across development teams. - Proactively monitor semantic model usage, performance metrics, and user feedback to identify opportunities for optimization and simplification. - Collaborate with Data Engineering teams to ensure that dataflows, lakehouses, and data warehouse objects are structured and maintained in ways that support performant semantic modeling. - Establish enterprise-wide semantic modeling strategies that promote certified datasets, shared dimensions, and efficient connection types (e.g., Direct Lake, Import, Hybrid), based on business use case, performance needs, and data latency requirements. - Performance, Security, and Compliance - Continuously monitor platform health and report performance; diagnose and resolve performance bottlenecks related to inefficient DAX, excessive query load, or capacity overuse. - Supports audits and data governance initiatives by maintaining accurate data lineage and metadata documentation. - Ensure semantic models align with institutional definitions and enterprise data standards. - Contribute to the development and enforcement of row-level security, workspace access roles, and least-privilege access models to protect sensitive data while enabling appropriate self-service reporting. Qualifications - Bachelor's degree in Computer Science, MIS, or related discipline or an equivalent combination of education and relevant experience. - Typically, 5-7 years of experience in business intelligence, data architecture, or enterprise analytics roles. - Extensive hands-on experience with Power BI (desktop, service, semantic models, and DAX). - Strong knowledge of healthcare data, including clinical, financial, and operational domains. - Advanced SQL skills with the ability to write complex queries and optimize for performance. - Strong proficiency in SQL, DAX, Power Query (M), and building and tuning semantic models. - Excellent written and verbal communication skills. Desired Qualifications - Experience in managing or migrating large-scale BI ecosystems from Tableau or legacy reporting tools. - Experience with Power BI DevOps practices, including the use of deployment pipelines, workspace lifecycle management, and version control to support scalable and maintainable BI solutions. - Hands-on experience with Power BI optimization tools such as DAX Studio and Measure Killer, with the ability to diagnose and resolve performance issues in complex semantic models. - Experience leveraging Power BI REST APIs, PowerShell, and Python to automate administrative tasks, streamline deployments, and enhance data workflows within the Power BI ecosystem. Salary and Benefits - Pay Grade: 5B - Salary: $68,678 to commensurate - Generous benefits package, including 24 days paid vacation per year to start and paid sick leave. Application Process To be considered, applicants must upload a resume that clearly addresses how they meet the listed required and desired qualifications of this position. A cover letter is desired as part of the application process. Job openings are posted for a minimum of 7 calendar days. This job may be removed from posting and filled any time after the minimum posting period has ended. Successful candidates will be required to self-disclose any conviction history and will be subject to a criminal background check and credential/education verification. This position is not eligible for University sponsorship for employment authorization. Contact Information For additional questions contact Kristen Kordick at Kristen-Kordick@uiowa.edu

• Build and own package-level unit economics data models that surface margin contribution, breakage rates, cost dynamics, and profitability across markets, corridors, and packages • Develop the analytical scaffolding for structured pricing reviews: margin waterfalls, competitive positioning dashboards, demand signal reporting, and conversion sensitivity analysis • Integrate competitive pricing data (scraped and third-party) into structured, queryable models that power automated benchmarking and price distance analysis across priority markets • Build and codify the data inputs that power our pricing decision framework—elasticity indicators, corridor-level competitive intensity, segment performance—enabling structured trade-offs between growth, margin protection, and competitive response • Own the semantic layer and metrics definitions for pricing and commercial domains, ensuring consistency and trust across Lightdash, downstream tools, and self-service analytics • Write Python-based tooling that goes beyond transformation: simulation models, scenario analyses, pricing rule engines, and automated competitive monitoring scripts • Design measurement-ready datasets that support A/B testing, controlled pricing pilots, and experimentation infrastructure as we build our capabilities for predictive pricing • Collaborate with data engineers to scale ELT workflows and improve CDR digestion pipelines, ensuring freshness, reliability, and full coverage for pricing-critical reporting • Partner with the Commercial Pricing Lead, Networks, Finance, and Growth to translate pricing strategy into data products, and ensure cross-functional stakeholders can independently explore and act on the models you build • Implement robust testing, documentation, and monitoring—you’re the steward of data quality in a domain where bad data means bad pricing decisions at scale

Role Description We are looking for an experienced Snowflake Data Engineer with strong expertise in data warehousing, data pipelines, and cloud-based data platforms. The candidate should have hands-on experience in Snowflake, SQL, ETL/ELT development, and cloud environments such as AWS/Azure. The role involves designing scalable data pipelines, optimizing Snowflake workloads, and enabling analytics solutions. - Design, develop, and maintain data pipelines and ETL/ELT processes using Snowflake. - Build and optimize data models and data warehouses in Snowflake. - Develop efficient SQL queries, stored procedures, and transformations. - Implement data ingestion pipelines from multiple sources such as APIs, databases, and files. - Work with cloud platforms (AWS/Azure/GCP) for data integration and storage. - Optimize Snowflake performance, clustering, and query tuning. - Implement data security, role-based access control (RBAC), and governance in Snowflake. - Collaborate with data analysts, BI teams, and business stakeholders to support reporting and analytics. - Ensure data quality, monitoring, and pipeline reliability. - Follow best practices for data architecture, version control, and CI/CD. Qualifications - Strong experience in Snowflake Data Warehouse. - Expertise in SQL and query optimization. - Hands-on experience with ETL/ELT tools such as Informatica, DBT, Matillion, Talend, Azure Data Factory. - Experience in data modeling (Star Schema, Snowflake Schema, Dimensional Modeling). - Knowledge of data ingestion techniques (Batch & Streaming). - Experience with cloud platforms (AWS, Azure, or GCP). - Familiarity with Python or scripting for automation. - Experience with Git, CI/CD pipelines, and DevOps practices. Preferred Skills - Experience with Snowflake features: Snowpipe, Streams & Tasks, Time Travel, Data Sharing. - Knowledge of data lake architectures. - Experience with BI tools such as Power BI, Tableau, or Looker. - Understanding of data governance and data quality frameworks. Education - Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related field.