Role Description UnityPoint Health is seeking a Senior Data Analytics Auditor/Analyst to join our team! This is the lead role for all data analytics necessary for internal audits and projects including extensive data analysis, electronic data retrieval, processing, and interpretation. Applicants can expect to use available and applicable software products to efficiently analyze process and report findings related to large volumes of financial and clinical data. This position manages UPH’s Excluded Provider/Vendor/Employee testing, reviews business risk and evaluates internal controls related to system-wide electronic business processes and proposes recommendations to strengthen the internal control environment and/or increase effectiveness and efficiency, actively participates in system-wide initiatives related to various information systems implementations and reporting needs, and communicates audit results to UPH leadership as appropriate. Hours: Monday-Friday 8am-5pm Location: Remote - applicants preferably reside within the UPH footprint of Iowa, Illinois, or Wisconsin. Qualifications - Bachelor’s degree in Accounting, IT, or related field required. - A minimum of 5 years internal auditing and/or external auditing experience, including hands-on experience with data analysis. Equivalent process improvement, consulting or other experience will also be considered. - Experience manipulating and analyzing large amounts of data is required. - Experience with sampling methodology, including statistically valid sampling is preferred. - Healthcare or Healthcare related experience is preferred. - Certification in one of the following is preferred: - Certified Internal Auditor (CIA- IIA) - Certified Information System Auditor (CISA-ISCACA) - Analytics Certified Data Analyst Advanced (ACDAA-DILGNT) Requirements - Serve as a point person for data needs required by all internal and external audits or projects, including audits or projects that require analysis of high risk or otherwise sensitive or confidential data. - Utilize knowledge of sampling methodology, including statistically valid sampling, to support audit projects and data analysis. - Maintain confidentiality of sensitive data and advise internal auditors on the most effective methods for doing the same. - Advise internal auditors and UnityPoint Health management as required by developing methods to retrieve, process and analyze data using various electronic auditing tools and software systems. - Lead and advise internal and external auditors and all levels of UPH management in the interpretation of large volumes of compliance, financial and clinical data. - Maintain continuous focus on data quality and availability to improve reporting and analysis. - Analyze and report findings in a meaningful and understandable manner for a wide variety of stakeholders. - Utilize knowledge of complex IT systems and data structures to advise and make recommendations related to effective reporting of data and segregation of duties. - Identify, document and test the effectiveness of internal processes and controls using effective data analytics methods. - Maintain a high level of organization and planning in order to complete assigned projects within designated timeframes. - Regularly research and utilize outside resources to maintain and update knowledge of healthcare and audit issues. - Participate in continuing education activities and keep credentials up to date. - Work with management to best improve staff education, compliance, and controls related to financial, operational and compliance issues. - Utilize system software to efficiently research, document and test areas of risk. - Identify areas where Internal Audit’s data analytics capabilities can add value to UPH processes, such as with continuous monitoring. - Partner as appropriate with the UnityPoint Health Analytics team and other data/reporting functions on process improvement initiatives. - Analyze how emerging technologies and tools such as AI can be integrated into audit and data analytics workflows to drive greater efficiency and effectiveness. - Work collaboratively with other staff members to ensure optimal team functionality. - Provide status reports on a regular basis for assigned projects. - Maintain a high level of independence and objectivity. - Perform special audit assignments and investigations as required. - Participate in process owner interviews and risk identification/prioritization activities in conjunction with the annual Internal Audit risk assessment. Benefits - Paid time off, parental leave, 401K matching and an employee recognition program. - Dental and health insurance, paid holidays, short and long-term disability and more. - Pet insurance for your four-legged family members. - Early access to earned wages with Daily Pay. - Tuition reimbursement to help further your career. - Adoption assistance to help you grow your family. - A culture of belonging where everyone feels valued and respected. - Support and development opportunities for an exceptional employment experience.

• Digital tagging and instrumentation: Map, implement, validate, and certify the tagging plan across digital channels (web and app), ensuring accurate collection of user events and interactions • Advanced Analytics configurations: Execute advanced measurement configurations, including User ID tracking, cross-domain tracking, and collection of custom events • Data quality monitoring: Continuously monitor the quality and integrity of collected data, identifying and correcting anomalies and tagging gaps • Interface with Engineering: Collaborate with the data engineering team on the construction and review of views and data layers (bronze, silver, gold), acting as the technical reference for Analytics data • Documentation: Maintain the tagging plan documentation up to date, ensuring traceability of implementations and technical decisions • Paid media support: Support the monitoring of media pixels and the validation of campaign data, contributing to the accuracy of media performance metrics (e.g., attribution, conversions) • Dashboards and analysis: Build and maintain analytical dashboards focused on tagging data and digital performance, supporting business stakeholders’ decision-making • Experimentation and monitoring tools management: Operate and configure optimization and testing tools according to the client’s current stack

• Partner with operations, finance, and leadership teams to understand business needs and operational challenges • Analyze business processes and identify opportunities to improve efficiency, visibility, and performance • Document workflows, reporting requirements, and operational procedures • Support project tracking, financial reporting, and operational performance reviews • Collect, validate, clean, and analyze data from multiple systems and sources • Identify trends, risks, bottlenecks, and performance opportunities • Create dashboards, reports, and visualizations that support strategic decision-making • Develop meaningful KPIs and operational metrics • Translate complex data into clear recommendations for business stakeholders • Build and maintain dashboards using Power BI, Tableau, Looker, Google Workspace, or similar tools • Support reporting automation and recurring data processes • Improve data accuracy, consistency, and governance across systems • Assist in developing predictive insights related to project performance, cost management, workforce planning, and operational efficiency • Work closely with field operations, project managers, finance, and executive leadership • Present findings and recommendations to both technical and non-technical audiences • Support continuous improvement initiatives through data-driven analysis

• 🎯 Your mission: be the dedicated data partner that helps a hands-on product team go deeper, see further, and design better products. • 🤝 Be the PMs' data partner - Our PMs already do their own analyses. You're the counterpart who takes the work deeper and broader than they can in a sprint. • Take on the analyses they don't have time for, accelerate the ones they're running, and pair on the questions that matter most. • Free PMs to focus on building product by being the dedicated owner of the data work that supports it. • 🔭 Bring perspective they can't get themselves - Cross-product cuts, segment views, comparative analyses across the user base — the outside lens that's hard to see from inside a single squad. • Challenge assumptions, including the ones PMs are most attached to. • Surface the analyses nobody asked for but everyone needed. • 🚀 Help design and improve the product - Co-create hypotheses with PMs and pair on how to test them properly. • **Activation and adoption are the headline:** how users get to value, what drives lasting use, where we're losing them, and what to build to fix it. • Go deep on retention drivers, cohort dynamics, and the leading indicators of expansion. Connect feature-level analyses back to the bigger picture. • 🗣 Influence the roadmap with a real POV - Sit in product planning as a peer. Bring strong, data-backed opinions about what we should build next — and what we shouldn't. • Push back constructively. Translate complex analysis into crisp recommendations that move decisions. • 🧪 Raise the bar on rigor - Bring statistical depth where it matters and keep it out of the way when it doesn't. • Make experiments and analyses trustworthy — well-designed, properly powered, honestly read. • Partner with PMs and Engineering on event instrumentation so the data the team relies on is solid.