Reads like an Analyst role: dashboards and reporting.
Reynosa, TAM, MX, 88730
Open 3 months, first seen by us 98 days agoAnalyze manufacturing, process and quality data for trends and variation
Apply statistical methods such as hypothesis testing, SPC, capability analysis and DOE
Use SQL and Python to extract, prepare and visualize data from multiple sources
Develop dashboards, reports and visualizations for engineering and manufacturing decisions
Analyze manufacturing, process, and quality data to identify trends, variation, performance issues, and improvement opportunities.
Apply statistical methods such as hypothesis testing, Statistical Process Control (SPC), process capability analysis, and Design of Experiments (DOE).
Use SQL and Python to extract, prepare, analyze, and visualize data from multiple sources.
Develop dashboards, reports, and visualizations that help engineering and manufacturing teams make data-driven decisions.
What do you need to have? - Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical field. - Approximately 3+ years of relevant experience in data analytics, statistical analysis, process analytics, or a related field.Strong knowledge of statistics and demonstrated ability to analyze and interpret datasets.
Open 3 monthsWe first saw this posting 98 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 98
Up longer than most. Similar jobs usually come down between day 5 and day 43.
Well past Corning’s usual: its jobs come down by about day 42.
From 14,545 similar postings that came down, and 85 of Corning’s. Coming down is not always a hire.
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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What is your role? As a Data Analyst, you will partner closely with engineering and manufacturing teams to analyze process and quality data, identify opportunities for improvement, and support data-driven decision-making. You will use statistical analysis, SQL, Python, and visualization tools to understand process performance and translate complex datasets into clear, actionable insights. This role is ideal for someone who enjoys solving problems independently and working directly with technical stakeholders in a manufacturing environment. Major responsibilities and tasks of the position:
- Apply statistical methods such as hypothesis testing, Statistical Process Control (SPC), process capability analysis, and Design of Experiments (DOE). - Use SQL and Python to extract, prepare, analyze, and visualize data from multiple sources. - Develop dashboards, reports, and visualizations that help engineering and manufacturing teams make data-driven decisions.\
- Approximately 3+ years of relevant experience in data analytics, statistical analysis, process analytics, or a related field.Strong knowledge of statistics and demonstrated ability to analyze and interpret datasets. - Strong experience with SQL and/or Python for data analysis.Ability to independently investigate data, identify meaningful insights, and communicate recommendations to stakeholders. - Strong attention to detail, analytical thinking, and problem-solving skills.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
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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.
Are you passionate about turning data into actionable insights and helping manufacturing teams make better decisions?
Join a global organization where your expertise in statistics, analytics, and data visualization can directly contribute to improving manufacturing processes and performance.
What is your role?
As a Data Analyst, you will partner closely with engineering and manufacturing teams to analyze process and quality data, identify opportunities for improvement, and support data-driven decision-making. You will use statistical analysis, SQL, Python, and visualization tools to understand process performance and translate complex datasets into clear, actionable insights. This role is ideal for someone who enjoys solving problems independently and working directly with technical stakeholders in a manufacturing environment.
Major responsibilities and tasks of the position:
What do you need to have?
What we offer?
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment.
To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com
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Reynosa, TAM, MX, 88730
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