Role Description The Integrated Supply Chain organization is seeking a dedicated Data Analyst to support the Supplier Quality Engineering (SQE) function. This role will focus on supplier quality digitization, analytics, and visualization, enabling data-driven decision-making across SQE leadership and stakeholders. The Data Analyst will work closely with the Supplier Quality Engineering organization and existing digitization teams to understand current workflows, automate data pipelines, and deliver interactive dashboards and ad-hoc insights that improve supplier quality performance, risk visibility, and operational effectiveness. Key Responsibilities - Dashboard & Analytics Development - Build and maintain visual dashboards that provide clear, actionable insights into supplier quality performance, risks, trends, and corrective action effectiveness. - Translate complex, multi-source datasets into intuitive, decision-ready visualizations for SQE leadership and stakeholders. - Digitization & Workflow Alignment - Work closely with the current SQE digitization team to understand existing data flows, reporting workflows, and analytics requirements. - Align new analytics solutions with established SQE processes, standards, and governance models. - Data Pipelines & Automation - Develop, maintain, and automate data pipelines and workflows for Supplier Quality Engineering using Alteryx (or equivalent ETL tools). - Ensure data accuracy, repeatability, scalability, and timely refresh of SQE analytics. - Document data flows, transformations, and KPI definitions to support standardization and continuity. - Interactive Visualization & Reporting - Design, build, and maintain interactive dashboards using Tableau, Power BI, React-based dashboards, or equivalent tools. - Create analytics that support supplier quality decision-making, including performance monitoring, risk identification, and continuous improvement initiatives. - Optimize dashboards for usability, performance, and stakeholder adoption. - Ad-hoc Analysis & Executive Support - Perform ad-hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews. - Present findings, trends, and insights to SQE stakeholders and leadership in a clear, concise, and business-focused manner. - Support governance reviews, operational reviews, and continuous improvement discussions with data-backed insights. Qualifications - Bachelor’s degree in Data Science, Statistics, Engineering, or a related field. - Hands-on experience with Alteryx or comparable ETL/data preparation tools for workflow automation and analytics enablement. - Experience with data visualization tools such as Tableau and/or Power BI (experience with React-based dashboards is a plus). - Strong proficiency in SQL for data extraction, transformation, and analysis. - Experience working with large, complex datasets from multiple systems. - Strong problem-solving, communication, and stakeholder management skills, with the ability to translate data into meaningful business insights. Preferred Experience (Nice to Have) - Experience supporting Supplier Quality, Manufacturing Quality, or Supply Chain organizations. - Familiarity with quality metrics, corrective actions, audits, and supplier performance management. - Experience in aerospace, industrial, or regulated manufacturing environments. - Exposure to ERP and quality management systems.

• Directly manage a team of Analysts • Lead team sprint planning; Responsible for prioritization of the teams backlog and delegation of work • Work closely with analysts to conduct research, run experiments, and manage a suite of business intelligence frameworks and dashboards • Identify process inefficiencies and/or organizational bottlenecks and leverage these opportunities to improve outcomes • Work with direct reports and cross functional partners to identify, prioritize, and execute on new research and experimentation opportunities • Identify opportunities to improve analytical methodologies to increase business outcomes • Build strong relationships with cross functional partners to influence strategy and to ensure consistent alignment and awareness • Coach and mentor individuals on the team to increase talent density and foster professional development and growth • Responsible for activities related to hiring, onboarding, and performance management

• Analyze marketing campaign performance data and help track key metrics. • Support list match validation and audience performance analysis. • Build Excel- or spreadsheet-based reports and visual summaries for internal stakeholders. • Work with Client Services and Engineering teams to support data requests and cross-team projects. • Translate data findings into clear, actionable insights and recommendations. • Help develop repeatable templates and processes for ongoing analytics needs.

• Analyze large amounts of healthcare data from multiple sources to support business decision making • Perform exploratory data analyses and evaluate data quality and usability. • Assist in the development and maintenance of ETL/ELT pipelines using established templates and internal tools. • Perform routine data audits to flag quality issues, develop reports to monitor pricing quality and coverage, and assist in developing workarounds to data limitations. • Assist in gathering data requirements by participating in stakeholder meetings and documenting business needs. • Work closely with team members to identify key metrics and understand the "why" behind data requests. • Document existing data workflows to help the team identify inefficiencies or error prone areas (available tools include Miro, Confluence, and Jira)