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Finance & Accounting Rotational Program Analyst
Remote, United States
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Job description
Company and benefits
Job ID
343957
Date posted
10/16/2026
Application Deadline
10/31/2026
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.
At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.
This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.
Build What's Next at Lumen
Launch your career at the intersection of finance, technology, and business transformation as an Analyst in Lumen’s Finance & Accounting Rotational Program (FAR). This highly competitive, two-year rotational program is designed for emerging leaders seeking broad exposure across Finance while developing the financial, business, data, and technology skills needed to become a future Finance leader.
As a FAR Analyst, you will complete multiple rotational assignments across key Finance disciplines while contributing to high-impact initiatives focused on process transformation, operational excellence, data-driven decision making, and emerging technologies. You will help shape the future of Finance at Lumen by leveraging data, AI, automation, and new ways of working to improve business outcomes. You will build business acumen, strengthen leadership capabilities, and gain hands-on experience solving complex business challenges in a dynamic environment.
The Main Responsibilities
- Complete rotational assignments across Finance & Accounting functions, including Financial Planning & Analysis (FP&A), Accounting, Treasury, Tax, Internal Audit, Strategic Sourcing & Supply Chain, Investor Relations, and other business areas.
- Identify and support opportunities to simplify, automate, or redesign Finance processes that improve efficiency, reporting, decision-making, and operational performance.
- Build financial models, reports, and analyses using tools such as Excel and data visualization platforms.
- Analyze financial and operational data to identify trends, risks, opportunities, and actionable business insights.
- Develop and deliver presentations that translate complex concepts into compelling business stories and clear recommendations for stakeholders and leaders.
- Collaborate with cross-functional teams to solve business challenges and support strategic initiatives.
- Utilize emerging technologies, including automation and AI-enabled tools, to improve productivity, streamline workflows, and support business outcomes while exercising sound business judgment.
- Demonstrate initiative, ownership, adaptability, and continuous learning while contributing to a high-performing team environment.
What We Look For in a Candidate
Minimum
- Currently pursuing or recently completed a bachelor’s degree prior to start date.
- Degree in Finance, Accounting, Business Administration, Economics, Data Analytics, Computer Science, Information Systems, or a related field.
- Demonstrated analytical and problem-solving capabilities.
- Proficiency in Microsoft Excel and Microsoft PowerPoint.
- Strong written and verbal communication skills with the ability to present ideas clearly and effectively.
- Ability to work independently and collaborate across teams.
- Demonstrated curiosity, learning agility, and willingness to embrace change.
- Interest in shaping the future of Finance through business transformation, process improvement, data-driven decision making, and emerging technology.
Preferred
Internship, project, leadership, campus organization, or work experience demonstrating impact and initiative.
Exposure to finance, accounting, operations, analytics, or technology-related coursework.
- Experience using data analysis, visualization, or reporting tools.
- Familiarity with AI and workflow automation tools and evidence of experimentation through academic, personal, or professional experiences.
- Demonstrated ability to translate insights into recommen