Digital Finance Analyst

Digital Finance Analyst Location: Corning, NY; Charlotte, NC Salary Range: $91,634.00 - $125,950.00 Responsibilities Build and maintain financial models and automated reporting pipelines in Databricks using Python and SQL. Design and contribute to Gold-layer finance datasets sourced from operational systems across manufacturing, supply chain, and commercial functions. Support FP&A, Accounting, and Business Unit Finance teams with data analysis, variance commentary, and forecast automation. Apply machine learning-assisted techniques—including anomaly detection and cost forecasting—to enhance the predictive value of financial outputs. Co‑develop self‑service dashboards for finance and business stakeholders, replacing manual reporting with governed, reusable analytical assets. Lead tracking of financial and/or operational metrics and performance, summarizing findings for stakeholders. Assist with internal financial reporting, perform comprehensive trend analysis, and lead data mining against governed finance datasets. Monitor daily operations of a unit, actively assist to resolve issues, and escalate as appropriate. Analyze and prepare financial and budgetary reports, contributing potential insights. Execute and support internal and external controls. Perform complex, undefined ad hoc analyses and assigned requests from senior management, leveraging data, automation, and a developing understanding of financial responsibilities within an assigned business unit. Complete a capstone project that identifies a high‑effort manual finance process, automates it on the platform, and quantifies the business impact. Work in a hybrid role with the opportunity to combine remote and on‑site work at Corning’s headquarters in Corning, NY or at the Charlotte, NC office. Required Qualifications BS or MS degree in Computer Science, Data Science, Finance, Economics, Statistics, Engineering, or a related quantitative field. Minimum of 1 year in a data, analytics, software, or technology role; no prior finance experience required. Proficiency in Python and SQL for data manipulation, automation, and analysis. Experience with cloud‑based data platforms; experience with Databricks is a strong differentiator. Familiarity with Git and notebook‑based development. Practical experience using AI Code Assistants (e.g., Copilot, Claude) to accelerate development. Ability to build dashboards or visualizations for analytical decision support. Experience analyzing data, synthesizing insights, and communicating results to varied audiences. Experience using data mining tools and methodologies to produce trend analysis and perform ad hoc research. Experience resolving issues related to data analysis and report preparation. Experience supporting components of ambiguous and unstructured requests, assisting with obtaining and analyzing data. Experience coordinating with and communicating technical concepts to non‑technical audiences (e.g., finance, operations, production, floor supervisors). Experience developing strategic networks outside of one's home function to build manufacturing and production process expertise. Genuine curiosity about why businesses make decisions, not just what the data shows. Comfortable structuring ambiguous problems and working without a predefined playbook. Collaborative by default—comfortable working across finance, data engineering, and operations. Desired Qualifications Experience contributing to components of large projects. Experience working with colleagues from other business units and divisions. Experience mentoring peers or providing technical guidance to junior team members. Experience creating and delivering presentations for business discussions or training and helping synthesize main findings. Salary and Benefits The range for this position is $91,634.00 - $125,950.00 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. Benefits include a comprehensive health and well‑being package that covers medical, dental, vision, paid parental leave, family building support, fitness, and company‑paid life insurance. Company‑wide bonuses and long‑term incentives align with key business results. A 100% company‑paid pension benefit with fixed contributions, and matching 401(k) contributions provided by Corning. Additional benefits: disability and disease management programs, paid time off, and an Employee Assistance Program (EAP). EEO Statement Corning is committed to providing equal employment opportunities and prohibits 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 consider requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for a reasonable accommodation related to disability or religion, please contact the hiring team. #J-18808-Ljbffr Corning Incorporated