Data Analyst (Reynosa, TAM, MX, 88730)

<p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Are you passionate about turning data into actionable insights and helping manufacturing teams make better decisions? </span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Join a global organization where your expertise in statistics, analytics, and data visualization can directly contribute to improving manufacturing processes and performance.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">What is your role?</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Major responsibilities and tasks of the position:</span></p> <ul> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Analyze manufacturing, process, and quality data to identify trends, variation, performance issues, and improvement opportunities. </span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Apply statistical methods such as hypothesis testing, Statistical Process Control (SPC), process capability analysis, and Design of Experiments (DOE).</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Use SQL and Python to extract, prepare, analyze, and visualize data from multiple sources.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Develop dashboards, reports, and visualizations that help engineering and manufacturing teams make data-driven decisions.\                 </span></li> </ul> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">What do you need to have?</span></p> <ul> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical field.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Strong experience with SQL and/or Python for data analysis.Ability to independently investigate data, identify meaningful insights, and communicate recommendations to stakeholders.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Strong attention to detail, analytical thinking, and problem-solving skills.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>advanced English communication skills and availability to work onsite in Reynosa, Tamaulipas.</span></span></li> </ul> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">What we offer?</span></p> <p> </p> <ul> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Great benefits above law.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>A collaborative and global working environment</span><span>.</span></span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>Opportunities for professional development and continuous learning</span><span>.</span></span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Exposure to manufacturing analytics, advanced data technologies, and global teams.</span></li> <li style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">Opportunity to contribute directly to process improvement and data-driven transformation.</span></li> </ul> <p> </p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">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. </span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt">To submit a request for reasonable accommodations related to disability or religion, please contact us at <a title="mailto:accommodations@corning.com" href="mailto:accommodations@corning.com" target="_blank" rel="noreferrer noopener">accommodations@corning.com</a></span></p>