Financial Analyst I (FP&A)

Jensen Hughes•Columbia, MD

5h•$68,000 - $75,000

About The Position

We are seeking a motivated and detail-oriented Financial Analyst I to support financial planning, reporting, and analysis across the global business. Within the FP&A team this role will work closely with Finance leadership and Operational teams to deliver accurate reporting, support forecasting processes, and provide data-driven insights to inform business decisions. This role will support exposure to AI and machine learning initiatives. This is an entry-level role designed for candidates looking to build a strong foundation in financial planning and analysis.

Requirements

Bachelor’s degree in Finance, Accounting, or related field
0–2 years of relevant experience (internship experience acceptable)
Strong proficiency in Microsoft Excel (formulas, pivot tables, data analysis)
Basic understanding of financial statements and key metrics
Strong analytical, organizational, and problem-solving skills
Ability to manage multiple priorities in a fast-paced environment
Strong communication skills and attention to detail

Nice To Haves

Exposure to financial planning, budgeting, or reporting
Experience with financial systems or data tools (e.g., Power BI, ERP systems)
Interest in FP&A, partnering with Operations, and financial strategy
AI tools and machine learning exposure

Responsibilities

Support the monthly financial reporting process, including preparation of management reports and dashboards
Assist in budgeting and forecasting cycles, including data collection and model updates
Assist with preparation of charts, graphs, and reports as required
Perform variance analysis (actual vs. budget/forecast) and provide key insights
Consolidate and validate data from multiple systems to ensure accuracy and consistency
Provides technology-driven data insights for Finance and Operational teams key decision-making
Develop and maintain Excel-based models and analysis tools
Support ad hoc analysis and strategic initiatives
Identify opportunities to improve reporting process automation and data quality through the use of AI tools