Data & Digital Enablement Engineer - Shape Analytics

Corning, Inc.

Austin (TX)

On-site

USD 98,000 - 134,000

Full time

14 days+

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Benefits offered by this job

Bonuses and long-term incentives

401(k) company match up to 4%

Health and wellness benefits

Paid parental leave

Employee Assistance Program

Job summary

Corning Incorporated in Austin, TX, is seeking a data and analytics leader for Optical Connectivity Solutions Division Engineering. You will build trusted data products, govern analytics, and empower teams to derive insights, improving portfolio visibility and resource planning.

You will lead a multi-year data, analytics and automation roadmap, design scalable models, and support Power BI, Power Apps, and SharePoint solutions across the organization. Strong Power BI and SQL skills required.

Qualifications

Bachelor's degree in engineering, computer science, information systems, data/analytics, or related technical discipline.
5+ years of relevant experience in engineering, manufacturing, analytics, business systems, portfolio management, or digital process improvement.
Advanced Power BI skills, including DAX, Power Query, dimensional modeling, and semantic models.
Hands-on experience building and supporting production solutions with Power Apps, Power Automate, SharePoint, and Microsoft 365.
Working knowledge of SQL and Databricks or a comparable analytics platform.
2+ years experience independently leading complex technical workstreams or programs across multiple functions.
2+ years experience with data architecture and governance concepts, including data modeling, lineage, systems of record, and data quality.

Responsibilities

Build and maintain a multi-year roadmap for data, analytics, and automation, and lead intake, prioritization, delivery, and adoption of the work.
Design scalable data models, reusable semantic models, and governed datasets, and document data flows, systems of record, and lineage.
Develop and support Power BI reports, Power Apps, Power Automate flows, and SharePoint solutions, including reliability, refreshes, access, release controls, and documentation.
Enable governed self-service analytics through templates, learning paths, coaching, office hours, and a network of functional power users.
Redesign manual processes into efficient digital workflows, and apply forecasting and scenario analysis to improve portfolio, resource, and cost decisions.