The Data Analyst will play a key role in enabling data-driven decision making across quality and manufacturing operations.
Collect, clean and analyze large datasets from RMA, testing, SPC and MES systems
Run statistical analysis, trend studies and correlation checks to find root causes
Build anomaly detection and failure pattern models to support predictive quality
Develop dashboards and visual reports in Power BI, Tableau or similar tools
Hold discovery sessions with business users and document data and process flows
From the employer’s posting
The Data Analyst will play a key role in enabling data-driven decision making across quality and manufacturing operations. The role focuses on data exploration, statistical analysis, dashboarding and building analytical models that support predictive failure analysis and continuous improvement. While not mandatory, candidates with experience in data engineering (ETL, data pipelines, database optimization) will have an advantage. The ideal candidate is strong in analytics first, with the ability to work with structured and unstructured datasets from multiple factory systems.
Collect, clean and analyze large datasets from production large system such as RMA, testing, SPC, MES etc.
Perform statistical analysis, trend studies and correlation assessments to identify patterns and root causes.
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Information Systems or related field
10173 also known as the Data Privacy Act of 2012.
Qualification wording
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Information Systems or related field
Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.
Education & alternatives
Preferred Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Information Systems or related field
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.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
R
SQL
Azure
Databricks
Hadoop
Power BI
SAP
Spark
Tableau
Where the posting names them
- Strong analytical and problem‑solving ability.
- Proficiency in Python or R for data analysis.
- Strong SQL skills for data extraction and manipulation.
- Proficiency in Python or R for data analysis.
- Strong SQL skills for data extraction and manipulation.
- Experience with dashboarding tools (Power BI, Tableau, etc.).
- Exposure to data engineering concepts such as data pipelines or data modeling.
- Familiarity with big data frameworks (Spark, Hadoop) or cloud analytics platforms (Azure, Databricks)
- Jira & Confluence (project documentation tools)
- Work closely with engineering, test and MQE teams to convert business needs into analytics requirements
- Develop dashboards and visual reports using Power BI, Tableau or similar tools.
- Present insights & analytical summaries to stakeholders in a clear, concise and actionable manner.
- Strong SQL skills for data extraction and manipulation.
- Experience with dashboarding tools (Power BI, Tableau, etc.).
- Knowledge of statistical methods and predictive modeling concepts.
- Jira & Confluence (project documentation tools)
- SAP S4 (knowledge of data tables as a plus)
- Power Apps, Power Automate, UiPath (automation tools)
About 13,000 in 2025, up 30% from the year before.Annual report (SEC Form 10-K)
Company
Listed as AEIS.
H-1B visas
13 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
The Data Analyst will play a key role in enabling data-driven decision making across quality and manufacturing operations. The role focuses on data exploration, statistical analysis, dashboarding and building analytical models that support predictive failure analysis and continuous improvement. While not mandatory, candidates with experience in data engineering (ETL, data pipelines, database optimization) will have an advantage. The ideal candidate is strong in analytics first, with the ability to work with structured and unstructured datasets from multiple factory systems.
Responsibilities:
Facilitate discovery sessions with business users to understand processes, data needs and problem statements. Document data and process flow
Collect, clean and analyze large datasets from production large system such as RMA, testing, SPC, MES etc.
Perform statistical analysis, trend studies and correlation assessments to identify patterns and root causes.
Support predictive quality initiatives through data insights and modeling.
Work closely with engineering, test and MQE teams to convert business needs into analytics requirements
Develop dashboards and visual reports using Power BI, Tableau or similar tools.
Present insights & analytical summaries to stakeholders in a clear, concise and actionable manner.
Experience & Skills:
2–5 years of experience as a Data Analyst or similar analytical role.
Experience in manufacturing, operations or quality analytics is a plus.
Exposure to data engineering or pipeline development is advantageous but not required.
Experience contributing to machine learning or predictive analytics projects is beneficial
Ability to work with senior-level business stakeholders
Experience with ETL/ELT tools or workflow orchestration.
Exposure to data engineering concepts such as data pipelines or data modeling.
Familiarity with big data frameworks (Spark, Hadoop) or cloud analytics platforms (Azure, Databricks)
Jira & Confluence (project documentation tools)
SAP S4 (knowledge of data tables as a plus)
Power Apps, Power Automate, UiPath (automation tools)
Strong analytical and problem‑solving ability.
Proficiency in Python or R for data analysis.
Strong SQL skills for data extraction and manipulation.
Experience with dashboarding tools (Power BI, Tableau, etc.).
Knowledge of statistical methods and predictive modeling concepts.
Clear communication and ability to explain complex insights to non‑technical stakeholders.
Strong documentation and organization skills.
Collaborative mindset to work cross-functionally with engineering and operations teams
Preferred Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Information Systems or related field
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. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012.