Senior Data Analyst

About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor 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 : As a Senior Data Analyst, you will play a critical role in enabling a data-driven culture by leading complex data analytics initiatives, translating business challenges into data-driven solutions, and providing expert guidance to business stakeholders and project teams. This role focuses on SAP data modeling, data analysis, reporting requirements, data mapping, and CDS view analysis and development across multiple business functions. Business Process → SAP Data → Technical Specification → Analytics Core Roles & Responsibilities Design, analyze, and support standard and custom CDS Views for analytical and reporting requirements. Provide functional and technical support for SAP BW/eBW, S/4HANA Embedded Analytics, SAC, and Group Reporting. Lead requirements gathering, data discovery, and technical workshops, ensuring requirements and business rules are clearly documented. Partner with Data Architects, Data Engineers, and BI Developers to ensure business requirements are accurately translated into scalable technical solutions. Ensure data quality, validation, reconciliation, and governance requirements are incorporated throughout the analytics delivery lifecycle. Act as an SAP Analytics SME, taking ownership of assigned deliverables, resolving complex data issues, and supporting projects through implementation and production readiness. Main Deliverables (not limited to) will be : Translate business processes and reporting requirements into functional and technical data specifications. Perform SAP data discovery and analysis across multiple functional modules and business processes. Identify and document required SAP source tables, fields, relationships, and business logic. Develop and maintain source-to-target data mappings for analytics and reporting solutions. Analyze, design, and develop SAP CDS Views, leveraging standard content where appropriate. Support SAP S/4HANA Embedded Analytics requirements and analytical data models. Analyze and support SAP BW/eBW data models, transformations, data flows, and reporting dependencies. Support analytics and reporting solutions utilizing SAP Analytics Cloud (SAC). Support data requirements and analysis for SAP Group Reporting and related financial reporting. Perform data profiling, validation, reconciliation, and root-cause analysis to ensure data accuracy and quality. Document and maintain data lineage, business rules, data definitions, and technical mappings across SAP and downstream analytics platforms. Lead data discovery and requirements workshops, serving as the functional-technical bridge between business SMEs, SAP functional teams, Data Architects, Data Engineers, and reporting teams Qualifications 5–7 years of SAP Data & Analytics experience, including SAP S/4HANA and enterprise reporting including SAP Analytics Cloud (SAC). Strong SAP business process knowledge across multiple functional modules. Strong knowledge of SAP core tables, data structures, and table relationships. SAP hands-on SAP BW/eBW experience, including data models and data flows. Hands-on experience with SAP CDS Views, including standard and custom CDS View development. Working knowledge of SAP Group Reporting and associated financial/reporting data. Strong source-to-target data mapping experience across SAP and analytical platforms. Ability to translate business processes and requirements into functional and technical data specifications. Ability to perform data lineage and impact analysis from SAP source through downstream analytics/reporting. Experience facilitating business requirements, data discovery, and technical workshops with business and SAP stakeholders. Experience supporting at least one end-to-end SAP implementation or major transformation, preferably S/4HANA. Ability to operate as a functional-technical SAP Analytics SME, owning deliverables and effectively bridging business, SAP functional, data engineering, and reporting teams. Knowledge of modern data and analytics platforms including: Databricks, SQL, Delta Lake, and Azure Data Services Visualization e.g. PowerBI Work Environment: Works in a standard office environment utilizing standard office equipment. Location: Pune, India Works in team and individual environments. Ability to work on projects with global team members outside of standard office hours. May work weekends and overtime when necessary. Ability to travel as needed, both domestic and international