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Junior Commercial Data & Analytics Product Owner
This role is a Junior Commercial Data & Analytics Product Owner focused on e-commerce, requiring 2+ years of relevant experience, proficiency in Python or R, and expertise in Google Analytics. The position is permanent, with a competitive pay rate, located in Corning, NY.
🌎 Country
United States
🏝️ Location
Unknown
📄 Contract
Full-time
🪜 Seniority
Entry level
💰 Range
Unknown
💱 Currency
$ USD
💸 Pay
Unknown
🗓️ Discovered
August 12, 2025
📍 Location detailed
Charlotte, NC
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🧠 Skills
#Google Analytics #Looker Studio #Segment #Google Tag Manager #GA4
Role description
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Corning is a manufacturer of glass, ceramics, and related materials. They are seeking a Commercial Data & Analytics Product Owner to transform raw data into meaningful intelligence that drives marketing, e-commerce, sales, service, and pricing strategies. The role involves collecting, cleaning, and analyzing large datasets, developing dashboards, and contributing to data-driven solutions for a comprehensive Customer 360 view.
Responsibilities:
• Set and execute the commercial data and analytics measurement strategy, ensuring alignment with business objectives and facilitating the continuous improvement of marketing, e-commerce, sales, service, pricing, and employee engagement initiatives.
• Define and prioritize the data & analytics product backlog, ensuring alignment with business objectives.
• Collaborate with stakeholders to gather and document requirements, translating them into user stories and acceptance criteria.
• Lead the strategy and integration of a Customer Data Platform (CDP) to unify customer data across touchpoints, enabling personalized experiences and advanced segmentation.
• Partner with business and technical teams to define and evolve the data model that supports the end-to-end customer journey, ensuring alignment across marketing, sales, service, pricing, and commerce.
• Enable seamless data access and interoperability between commercial platforms (Salesforce.com, SAP Commerce Cloud, etc.) and Databricks, leveraging zero-copy architecture to reduce data duplication and improve performance.
• Build and maintain effective partnerships within business digital teams to foster a data-driven culture.
• Provide insights and guidance to business functions on data best practices, analytics methodologies, and predictive modeling techniques.
• Develop and maintain interactive dashboards and reports in Looker Studio and Tableau Cloud to track key performance indicators (KPIs) across marketing, e-commerce, sales, service, and pricing functions.
• Contribute to the development of a unified customer view (Customer 360) by integrating data from various customer touchpoints.
• Analyze customer behavior across different channels to identify patterns and opportunities for personalization.
• Contribute to the definition and capture of key metrics to improve employee experience on the Intranet.
• Collaborate with Managed Service Providers (MSPs) and/or development team to deliver the product backlog, ensuring timely and high-quality delivery of features and enhancements.
• Develop and manage the technical product roadmap, in conjunction with architect & Product Line Manager/Service Owner
• Serve as the technical lead on projects, overseeing the technical aspects of project delivery, guiding the implementation team, and ensuring adherence to best practices and standards.
• Work closely with agile product delivery teams (internal / external) to set priorities in order to deliver and sustain the end-to-end customer experience
• Collect, clean, and validate large datasets from various platforms including Google Analytics, Google Tag Manager, Google BigQuery, Looker Studio, the enterprise data lake in Databricks, Salesforce, SAP Commerce Cloud, Vendavo, Marketo, etc.
• Monitor the health and performance of commercial analytics platforms and troubleshoot issues.
• Work closely with marketing, e-commerce, sales, service, and pricing teams to understand their data needs and provide relevant insights.
• Present analytical findings and recommendations to stakeholders in a clear and concise manner.
Qualifications:
Required:
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics) or Marketing with a strong analytical focus.
• Experience working with enterprise data lakes, preferably Databricks.
• Solid understanding of statistical principles.
• Excellent written and verbal communication skills.
• Strong problem-solving and critical-thinking abilities.
• Understanding of employee engagement metrics, marketing principles, e-commerce operations, and sales processes.
• Ability to manage multiple tasks and projects effectively.
• Experience with statistical modeling and predictive analytics.
• Proficiency in programming languages such as Python or R.
• 2+ years of experience as developer/engineer or other relevant experience.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Effective in translating technical language into business language to bridge the gap between business and technical professionals.
• Solicits advice, support, sponsorship, and commitment to product success across relevant parts of Corning.
• Embeds with product teams as needed to ensure full transparency, keeping stakeholders up to date on delivery status, product risks and scope changes.
• Is obsessed with product quality, staying deeply immersed in product deliverables and releases to ensure no surprises.
• Strong understanding of application development and deployment processes.
• Proven ability to manage multiple projects and priorities in a fast-paced environment.
• Working knowledge and proven experience working with a cross-functional team.
• Must be an independent self-starter and have proven ability to drive results and prioritize work activities.
• Critical thinking and problem-solving skills.
• Strong ability to deliver results.
• Demonstrated willingness to go the extra mile, maintain a positive attitude, possess agility and adaptability to change with a get-it-done attitude.
• Ability to work through ambiguous situations.
• Ability to learn quickly and transfer knowledge to others.
Preferred:
• Proficiency in Google Analytics (GA4 preferred).
• Experience with Google Tag Manager.
• Strong skills in Google BigQuery and SQL for data querying and analysis.
• Expertise in creating dashboards and reports using Looker Studio.
• Familiarity with Agile project management methodologies.
• Master's degree in a relevant field (e.g., Data Science, Marketing Analytics, Business Analytics).
• Experience with CRM platforms (e.g., Salesforce).
• Knowledge of data governance and data quality best practices.
• Experience in the manufacturing industry or with related data.
Company:
Corning is a manufacturer of glass, ceramics, and related materials. Founded in 1851, the company is headquartered in Corning, New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Corning is a manufacturer of glass, ceramics, and related materials. They are seeking a Commercial Data & Analytics Product Owner to transform raw data into meaningful intelligence that drives marketing, e-commerce, sales, service, and pricing strategies. The role involves collecting, cleaning, and analyzing large datasets, developing dashboards, and contributing to data-driven solutions for a comprehensive Customer 360 view.
Responsibilities:
• Set and execute the commercial data and analytics measurement strategy, ensuring alignment with business objectives and facilitating the continuous improvement of marketing, e-commerce, sales, service, pricing, and employee engagement initiatives.
• Define and prioritize the data & analytics product backlog, ensuring alignment with business objectives.
• Collaborate with stakeholders to gather and document requirements, translating them into user stories and acceptance criteria.
• Lead the strategy and integration of a Customer Data Platform (CDP) to unify customer data across touchpoints, enabling personalized experiences and advanced segmentation.
• Partner with business and technical teams to define and evolve the data model that supports the end-to-end customer journey, ensuring alignment across marketing, sales, service, pricing, and commerce.
• Enable seamless data access and interoperability between commercial platforms (Salesforce.com, SAP Commerce Cloud, etc.) and Databricks, leveraging zero-copy architecture to reduce data duplication and improve performance.
• Build and maintain effective partnerships within business digital teams to foster a data-driven culture.
• Provide insights and guidance to business functions on data best practices, analytics methodologies, and predictive modeling techniques.
• Develop and maintain interactive dashboards and reports in Looker Studio and Tableau Cloud to track key performance indicators (KPIs) across marketing, e-commerce, sales, service, and pricing functions.
• Contribute to the development of a unified customer view (Customer 360) by integrating data from various customer touchpoints.
• Analyze customer behavior across different channels to identify patterns and opportunities for personalization.
• Contribute to the definition and capture of key metrics to improve employee experience on the Intranet.
• Collaborate with Managed Service Providers (MSPs) and/or development team to deliver the product backlog, ensuring timely and high-quality delivery of features and enhancements.
• Develop and manage the technical product roadmap, in conjunction with architect & Product Line Manager/Service Owner
• Serve as the technical lead on projects, overseeing the technical aspects of project delivery, guiding the implementation team, and ensuring adherence to best practices and standards.
• Work closely with agile product delivery teams (internal / external) to set priorities in order to deliver and sustain the end-to-end customer experience
• Collect, clean, and validate large datasets from various platforms including Google Analytics, Google Tag Manager, Google BigQuery, Looker Studio, the enterprise data lake in Databricks, Salesforce, SAP Commerce Cloud, Vendavo, Marketo, etc.
• Monitor the health and performance of commercial analytics platforms and troubleshoot issues.
• Work closely with marketing, e-commerce, sales, service, and pricing teams to understand their data needs and provide relevant insights.
• Present analytical findings and recommendations to stakeholders in a clear and concise manner.
Qualifications:
Required:
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics) or Marketing with a strong analytical focus.
• Experience working with enterprise data lakes, preferably Databricks.
• Solid understanding of statistical principles.
• Excellent written and verbal communication skills.
• Strong problem-solving and critical-thinking abilities.
• Understanding of employee engagement metrics, marketing principles, e-commerce operations, and sales processes.
• Ability to manage multiple tasks and projects effectively.
• Experience with statistical modeling and predictive analytics.
• Proficiency in programming languages such as Python or R.
• 2+ years of experience as developer/engineer or other relevant experience.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Effective in translating technical language into business language to bridge the gap between business and technical professionals.
• Solicits advice, support, sponsorship, and commitment to product success across relevant parts of Corning.
• Embeds with product teams as needed to ensure full transparency, keeping stakeholders up to date on delivery status, product risks and scope changes.
• Is obsessed with product quality, staying deeply immersed in product deliverables and releases to ensure no surprises.
• Strong understanding of application development and deployment processes.
• Proven ability to manage multiple projects and priorities in a fast-paced environment.
• Working knowledge and proven experience working with a cross-functional team.
• Must be an independent self-starter and have proven ability to drive results and prioritize work activities.
• Critical thinking and problem-solving skills.
• Strong ability to deliver results.
• Demonstrated willingness to go the extra mile, maintain a positive attitude, possess agility and adaptability to change with a get-it-done attitude.
• Ability to work through ambiguous situations.
• Ability to learn quickly and transfer knowledge to others.
Preferred:
• Proficiency in Google Analytics (GA4 preferred).
• Experience with Google Tag Manager.
• Strong skills in Google BigQuery and SQL for data querying and analysis.
• Expertise in creating dashboards and reports using Looker Studio.
• Familiarity with Agile project management methodologies.
• Master's degree in a relevant field (e.g., Data Science, Marketing Analytics, Business Analytics).
• Experience with CRM platforms (e.g., Salesforce).
• Knowledge of data governance and data quality best practices.
• Experience in the manufacturing industry or with related data.
Company:
Corning is a manufacturer of glass, ceramics, and related materials. Founded in 1851, the company is headquartered in Corning, New York, USA, with a team of 10001+ employees. The company is currently Late Stage.