Senior Data Analyst, Operations

Title: Senior Data Analyst, Operations ABOUT ADVANCED ENERGY Advanced Energy (Nasdaq: AEIS) is a global leader in the design and manufacturing of highly engineered, precision power conversion, measurement and control solutions for mission-critical applications and processes. AE’s power solutions enable customer innovation in complex applications for a wide range of industries including semiconductor equipment, industrial, manufacturing, telecommunications, data center computing and healthcare. Advanced Energy has devoted four decades to perfecting power for its global customers and is headquartered in Denver, Colorado. POSITION SUMMARY: As a Senior Data Analyst, you will be a part of AE’s Global Operations team. Within the Global Operations function, you will support the data and analytics needs as the function is heading toward its digital transformation. As a highly motivated Sr. analyst, you will advocate data-driven decision-making. You will support internal teams in moving away from old working methods and mining insights. You will also help in the digital transformation journey by digitizing and automating some data extraction and preparation needs. You will get an excellent chance to understand the Supply Chain Operations in detail from the professionals and opportunities to learn and grow in the Analytics space. This role will be highly visible to the executive staff and will need to provide clear, actionable, data-driven insights that help drive the business forward. The Sr. Data Analyst will own the process from data wrangling up to the executive report out. RESPONSIBILITIES: Engage with stakeholders (operational managers, senior executives) to understand the critical business question addressed through analytics Lead discovery sessions and requirements workshops for business users and use business and information technology tools to evaluate in-scope value streams, business processes, or procedures where needed Identify data sources; collect data through manual or automated means; source missing data; clean, transform and organize data into usable format/structure. Where needed, develop, implement, and maintain databases or data systems with support from IT Design, develop, and deploy reports and dashboards (data visualization), and generate business presentations and formal written reports to communicate the results of data analysis Identify and analyze trends and patterns using statistical tools and generate information and insights from data sets to answer critical business questions Support in data flow and process flow documentation and identify gaps Support cloud initiatives and data asset migration with IT and internal teams Learning & Development Opportunity You will get the opportunity to learn and grow in Digital Transformation & Advance Analytics space as AE has just started its journey Learning and growth of the cloud platforms and internal coaching & mentoring from the Analytics Leaders in the space Part of Data Council to learn from cross functional teams more advanced technique in the Supply Chain Analytics Domain Opportunity to grow in the space of data product management and be data product owner for the business domain WORK ENVIRONMENT: Location: Denver, CO Environment: Standard office setting QUALIFICATIONS: Good understanding of Data Analytics & Business Intelligence Project lifecycle and proven experience in managing Business Intelligence Projects and exposure to project management tools like Jira and Atlas. (Must for the job) Strong proficiency in SQL, Python; Can write SQL queries (e.g. Microsoft SQL, Oracle, MySQL, PostgreSQL etc.) (Must for the job) Firm grasp on advanced SQL aggregation functions, database performance concepts and query optimization techniques Strong proficiency in Microsoft Excel or other spreadsheet software Advance knowledge of data wrangling and data transformation techniques for cleaning up data and translating raw data into more usable forms. Hands-on experience for Tableau Prep or Alteryx or DataBricks will be a plus Knowledge of Salesforce, SAP, and relevant data structure, extraction, preparation, and visualization tool. (e.g., SAP BW) as a plus Good familiarity with data governance, master data, and metadata management. Knowledge of Power Apps, Power Automate, and UI Path is also a significant plus but not a hard requirement for the role EXPERIENCE: Essential: Experience working with senior business stakeholders Must have proven experience with analytic and data visualization tool like Power BI Preferred: Experience with any Data Science techniques, Machine Learning, Natural Language Processing is a significant plus Experience in Manufacturing or Supply Chain will be a significant plus for the role EDUCATION: Bachelor of Science in relevant field (e.g. Data Science/Analytics, Statistics, Mathematics, Computer Science, IT or other related technical field) or equivalent work experience. Minimum of 3 years’ experience in an analytics domain and a at least 6+ years of working experience.

Salary : $95,000 - $115,000