Senior Data Analyst

About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductors and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide. Position Summary: The Senior Data Analyst serves as a highly skilled analytics and data professional responsible for transforming complex business requirements into scalable data, reporting, and analytics solutions across enterprise platforms. This role combines advanced analytical expertise, data governance knowledge, business process understanding, and stakeholder engagement to deliver actionable insights that drive strategic business decisions. The incumbent independently leads data analytics initiatives, evaluates complex business challenges, identifies data-driven solutions, and provides expert guidance to project teams and business stakeholders. Working across global and cross-functional teams, the Senior Data Analyst develops data strategies, improves data quality and governance practices, supports enterprise data transformation programs, and serves as a trusted advisor on analytics and reporting capabilities. This position contributes to multiple concurrent projects, may lead small to medium-sized analytics workstreams, and plays a key role in driving continuous improvement of enterprise data assets, reporting solutions, and decision-support processes. Essential Responsibilities: Analytics Strategy & Business PartnershipPartner with business leaders and functional stakeholders to understand strategic objectives and translate business needs into analytics and reporting solutions.Consult with business teams to identify opportunities for process optimization, operational improvement, and enhanced decision-making through data.Evaluate complex business problems and recommend innovative analytical approaches and solutions.Facilitate requirements gathering sessions and influence stakeholders toward effective data-driven decisions.Data Analysis & InsightsAnalyze large, complex datasets from ERP and enterprise applications including SAP S/4HANA, SAP ECC, Salesforce, ModelN and other business systems.Identify trends, patterns, risks, and business opportunities through advanced data analysis techniques.Develop meaningful KPIs, metrics, and performance reporting frameworks that support business objectives.Perform root cause analysis for business and operational issues, providing actionable recommendations to leadership and cross-functional teams.Data Architecture & Solution DesignDesign and optimize scalable data models, data integration frameworks, and analytics solutions that support enterprise reporting requirements.Evaluate existing data structures and recommend improvements to data quality, usability, accessibility, and governance.Support the development of enterprise data architecture standards, best practices, and analytical frameworks.Collaborate with technical teams to design solutions that balance business requirements, scalability, and system performance.Data Integration & TransformationLead the design and execution of complex ETL/ELT processes and data transformation initiatives.Create and optimize data pipelines, workflows, CDS Views, Datasphere models, and analytical datasets.Assess source system complexities and develop sustainable approaches for data integration and migration.Drive continuous improvement of data processing methodologies and automation opportunitiesData Governance & Quality ManagementEstablish and promote data quality standards, validation methodologies, and governance practices.Develop monitoring frameworks to identify and resolve data integrity issues proactively.Partner with business and IT teams to improve master data management and data stewardship processes.Support compliance with enterprise data governance policies and regulatory requirementsProject Leadership & ExecutionLead small to medium-sized analytics projects and data workstreams, ensuring successful delivery of objectives, timelines, and quality expectations.Manage project activities from discovery and solution design through deployment and post-implementation support.Coordinate with global stakeholders to align priorities, mitigate risks, and manage dependencies.Contribute subject matter expertise to larger enterprise transformation and analytics initiatives.Stakeholder Collaboration & InfluencingBuild strong partnerships with business, IT, and external partners across global teams.Present complex analytical findings and recommendations to technical and non-technical audiences.Influence decision-making through data-driven insights and consultative problem-solving.Serve as a trusted advisor on analytics, reporting, and data Abou