Job Description

Requisition Number: 71110

The company built on breakthroughs. ​  
Join us.​    

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

​Come break through with us.  

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Scope of Position:

Corning IT is seeking a highly skilled and detail-oriented Data Analyst to support the continuous improvement of our marketing, e-commerce, sales, service, pricing, and employee engagement initiatives . You will play a pivotal role in transforming raw data into meaningful intelligence that drives our commercial strategies. Your primary responsibility will be to collect, clean, and analyze large datasets from platforms such as Google Analytics, Google Tag Manager, Google BigQuery, Databricks, and Looker Studio. You will develop interactive dashboards and reports that provide actionable insights to optimize marketing spend, enhance sales effectiveness, and improve customer & employee engagement.

In this role, you will contribute to the development and deployment of data-driven solutions for a comprehensive Customer 360 view by integrating data from various customer touchpoints, enabling personalized customer experiences and fostering stronger customer relationships by leveraging data science and machine learning technologies to address complex business challenges. You will also focus on capturing metrics to improve employee experience on the Intranet. Your technical expertise in data analytics tools, combined with your strong analytical and communication skills, will be essential in presenting data-driven recommendations to diverse stakeholders.

Responsibilities:

• Build and maintain ETL/ELT data ingestion pipelines from multiple source systems for Digital Marketing, Sales, Service, eCommerce, and Advanced Pricing capabilities into Enterprise Data Lake.
• Implement and maintain data collection and governance processes using Google Tag Manager and web analytics tools – author tagging plans, design data layer schema, configure and validate GA4 & GTM, and ensure consent-mode compliant tracking
• Ensure data quality through rigorous cleansing, validation, and standardization procedures
• Write and optimize SQL queries for data extraction and transformation
• Perform complex data analysis using SQL in Data Lake environments such as Google BigQuery and Databricks
• Develop analytical data models and schemas to identify customer behavior patterns, trends, and opportunities
• Generate actionable insights to support digital marketing campaigns, eCommerce optimization, and pricing strategies
• Conduct A/B testing analysis and provide recommendations for optimization
• Implement data quality checks, anomaly detection, and reconciliation processes to ensure accuracy and reliability of business-critical data
• Conduct root cause analysis on data discrepancies and implement solutions to prevent future issues
• Collaborate with product owners and architects to define data integration strategies between marketing, sales, service, eCommerce, advanced pricing platforms and Enterprise Data Lake.
• Support integration efforts between marketing, sales, service, eCommerce, advanced pricing platforms and Enterprise Data Lake
• Curate and maintain machine learning-ready datasets and semantic layers for advanced analytics and predictive modeling in pricing and customer behavior.
• Create and maintain interactive dashboards and reports using tools like Looker Studio, Power BI or Tableau
• Develop automated reporting solutions to track KPIs across digital channels  such as funnel conversion and drop-off, campaign performance, lead-to-revenue flow, customer segmentation and cohorts, service case trends, pricing/discount leakage, and profitability drivers
• Present data findings and recommendations to stakeholders at various organizational levels
• Design visualization solutions that effectively communicate complex data stories
• Develop and maintain documentation for data processes, definitions, and analytical methodologies
• Collaborate with the Data Management Office to align with enterprise data governance standards
• Participate in data governance initiatives, including metadata management, data lineage tracking, and compliance with data privacy regulations, etc.
• Partner with cross-functional teams including Marketing, Sales, Service, and Pricing to understand business requirements
• Contribute to the development of the Customer 360 data strategy and roadmap
• Identify opportunities for process automation and efficiency improvements
• Stay current with industry trends and recommend new tools and methodologies

Education and Experience:

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics) or Marketing with a strong analytical focus.

Required Skills :

• 2+ years of hands-on experience in data analysis and analytics
• Proficiency in SQL with experience in complex query writing and optimization
• Experience with data visualization tools, preferably Looker Studio, Power BI, Tableau or similar platforms
• Working knowledge of data warehousing concepts and ETL/ELT processes
• Experience with cloud-based data lake platforms (BigQuery, Databricks, or similar)
• Strong understanding of web analytics metrics and digital marketing KPIs
• Demonstrated ability to translate business questions into analytical approaches
• Experience in statistical analysis and data modeling
• Strong problem-solving skills with attention to detail
• Ability to identify data quality issues and implement corrective measures
• Excellent written and verbal communication skills with ability to present complex data to non-technical audiences
• Experience working in cross-functional team environments
• Strong project management skills with ability to manage multiple priorities
• Customer-focused mindset with understanding of customer journey analytics

Desired Skills :

• Hands-on experience with Google Analytics 4 (GA4) and Google Tag Manager
• Programming experience in Python or R for data analysis
• Experience with API integrations and data pipeline development
• Knowledge of machine learning concepts and predictive analytics
• Familiarity with version control systems (Git)
• Experience with data orchestration tools (Qlik, or similar)
• Understanding of digital marketing concepts (SEO, SEM, email marketing, personalization)
• Knowledge of customer segmentation and lifetime value analysis
• Familiarity with pricing analytics and revenue optimization
• Experience with privacy regulations (GDPR, CCPA) and their impact on data collection
• Self-starter with ability to work independently and take initiative
• Agile mindset with adaptability to changing priorities
• Passion for continuous learning and staying updated with industry trends
• Strong collaboration skills and ability to build relationships across teams
• Creative thinking for innovative solution development
• Relevant certifications (Google Analytics, Google Cloud, Databricks, etc.) are a plus

Travel Requirement:

• Up to 15%

This position does not support immigration sponsorship.  

The range for this position is $72,880.00 - $100,210.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

A job that shapes a life.  

Corning offers you the total package.  

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career.  We also offer a 401(k) savings plan with company matching contributions.  
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs. 
• Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well – when Corning wins, we all win.     
• Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.  

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com .

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