Date: Mar 28, 2025
Location: Reynosa, TAM, MX, 88730
Company: Corning
Requisition Number: 67431
Corning is vital to progress – in the industries we help shape and in the world we share.
We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.
Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
OCS Digital Transformation Group is looking for a passionate and driven individual who is excited about leveraging data to enhance business processes and drive strategic decisions. We encourage you to apply for the role of Reporting Analyst. Join us in our journey of making better-informed decisions and propelling the company’s success through data-driven insights.

QUALIFICATIONS:

• Bachelor’s degree in related fields such as Business Analytics, Data Science, Supply Chain Management, Process Engineering or a similar discipline.
• Advanced Level of Power BI for creating interactive dashboards and reports.
• Familiarity with data extraction from SAP, SAP BW, Excel, Sharepoint.
• Experience with SQL for querying databases and retrieving relevant data.
• Knowledge of DAX and M languages for data manipulation within Power BI and Power Query is a plus.
• Exposure to programming languages such as Python is a plus.
• Exposure to Data Science, Statistics and/or Machine Learning is a plus.
• Strong analytical skills and the ability to transform complex data into actionable insights.
• Good communication skills to convey technical information effectively to both technical and non-technical stakeholders.
• Detail-oriented with a commitment to data accuracy and quality.
• A self-driven individual with a strong willingness to learn and adapt in a fast-paced environment.
• Curiosity about data and a natural problem-solving aptitude.
• Passion for contributing to business success through data-driven decision-making.

• Collaborate with cross-functional teams to gather requirements and understand business needs related to supply chain, and manufacturing analytics.
• Develop, maintain, and enhance interactive dashboards and reports using Power BI to visualize complex data sets, trends, and performance metrics.
• Analyze data to identify patterns, trends, and anomalies, providing actionable insights and recommendations to optimize and improve operational efficiency.
• Utilize your expertise in platforms such as SAP, SAP BW, Databricks, Excel, Sharepoint, to extract, transform, and load data for reporting purposes.
• Collaborate with senior analysts to design and implement data models, utilizing SQL, DAX, M, Python for data manipulation and analysis.
• Participate in data cleansing, data quality assessments, and data validation activities to ensure accuracy and reliability of reports and analyses.
• Assist in documenting processes, methodologies, and best practices to ensure knowledge sharing and consistency within the analytics team.
• Stay up to date with industry trends, emerging technologies, and best practices in data analysis, reporting, and visualization.
• Embrace a continuous learning mindset, proactively seeking opportunities to expand your skills and stay current in the field of data analytics.
• Demonstrate a passion for problem-solving, critical thinking, and utilizing data to drive informed decision-making.