Digital Finance Analyst

Corning • City of Corning, NC

56d • $91,634 - $125,950 • Hybrid

About The Position

The Digital Finance Analyst is an embedded member of a Finance delivery team and a participant in Corning's Digital Finance Program (DFP) — an investment in the next generation of finance talent that combines analytical depth, software fluency, and modern data platforms to deliver insight at scale. This position sits within the Finance Function and supports digital transformation across corporate finance and the enterprise. You will enter the program with technical depth and be systematically developed in financial acumen through structured project assignments, embedded learning, and real project ownership — staffed on cross-functional finance projects with a continuous analytics thread, delivering real business outcomes on Corning's data platform. Participants work in close partnership with the DSI Core Team — Corning Finance's centralized AI/ML and data science group — who set technical standards, provide design guidance, and govern code quality for the solutions delivery teams build. This is not a traditional finance role — it is a deliberate investment in people who think in systems, code, and data, and who want to use those instincts to drive business decisions. Financial training is built into the program; no prior finance experience is required. Activities are performed in accordance with relevant accounting principles, standards, and reporting requirements. The role is a hybrid role, with an opportunity to combine remote and on-site work at Corning's headquarters in Corning, NY or at the Charlotte, NC office.

Requirements

• BS or MS degree in Computer Science, Data Science, Finance, Economics, Statistics, Engineering, or a related quantitative field.
• A minimum of 1 year in a data, analytics, software, or technology role. No prior finance experience required — financial training is built into the program.
• Proficiency in Python and SQL for data manipulation, automation, and analysis.
• Experience with cloud-based data platforms; Databricks experience 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) to execute projects.
• 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.

Nice To Haves

• Coursework or demonstrated interest in business, economics, or accounting is a plus.
• 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.

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.

Benefits

• Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well.
• 100% company-paid pension benefit with fixed contributions that grow throughout your career.
• Matching contributions to your 401(k) savings plan.
• Medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
• Recognition program to celebrate successes and reward colleagues who make exceptional contributions.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level