Position Details: • Locations Preferred: Charlotte, NC / Hickory, NC / Corning, NY. Remote - Office attendance as REQUIRED. • Work Schedule: M-F, 8 am - 5 pm EST. • Interview Process: One Round Video Panel Interview. • Possibility of extension, based on demand. • 6-months contract with possibility of conversion, but not a guarantee (Target start/end dates: 08/04/2025 to 02/07/2026). • Travel Requirement: Up to 15%, travel as needed based on project phase, supplier, or team meeting. 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. Education and Experience: • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, Data Analytics) with a strong analytical focus. (minimum required). • 2+ years of experience as developer/engineer or other relevant experience. Required Skills • Proficiency in programming languages such as Python or R. • 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. • 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. Desired Skills: • 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. Pay Transparency: • This is the pay range that Magnit reasonably expects to pay someone for this position is $53.57/hour - $71.43/hour. • Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met).