Sr. Data Analyst

Position Title: Sr. 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 be an integral part of AE’s global supply chain function. Within the Supply Chain Planning function, you will support the data and analytics needs as the function progresses towards its digital transformation. As a highly motivated analyst, you will champion data-driven decision-making. You will assist internal teams in transitioning from traditional working methods and extracting valuable insights. Additionally, you will contribute to the digital transformation journey by digitizing and automating data extraction and preparation processes. This role offers an excellent opportunity to gain a comprehensive understanding of the supply chain function from industry professionals and to grow within the Analytics space.

Responsibilities:

1. Engage with stakeholders, including operational managers and senior executives, to understand critical business questions addressed through analytics.
2. Facilitate discovery sessions and requirements workshops for business users.
3. Identify data sources, collect data through manual or automated means, source missing data, and clean, transform, and organize data into a usable format.
4. Design, develop, and deploy reports and dashboards (data visualization), and generate business presentations and formal written reports to communicate the results of data analysis.
5. Document data flow and process flow, identifying gaps and areas for improvement.
6. Train and support the Internal Data Champion through coaching and mentoring.
7. Collaborate with IT and internal teams to support cloud initiatives and data asset migration.

Qualifications:

1. Degree in Computer Science, Information Technology, or equivalent STEM fields.
2. Minimum of 5 years of experience in an analytics domain.
3. Proven experience working with senior business stakeholders (essential).
4. Strong understanding and experience with cloud platforms, preferably Databricks or Azure (essential).
5. Hands-on experience with SQL, Python or PySpark, with the ability to write production-level code (essential).
6. Proficiency with Power BI for analytics and data visualization (essential).
7. Advanced knowledge of data wrangling and data transformation techniques for cleaning and translating raw data into usable forms.
8. Familiarity with data governance, master data, and metadata management.
9. Knowledge of Power Apps, Power Automate, and UI Path is a significant plus but not mandatory.
10. Experience in Manufacturing or Supply Chain is highly desirable.
11. Knowledge of SAP S4 and understanding of relevant data tables is a significant plus.
12. Willingness to take need-based calls in the US time zone.

Learning & Development Opportunities:

• Opportunity to learn and grow in the Supply Chain Digital Transformation space as AE embarks on its journey.
• Coaching and mentoring from Analytics Leaders in the field.
• Opportunities to travel and collaborate with cross-border teams on internal initiatives.

As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate.

Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities.