The Senior Analyst, Corporate FP&A provides broad-based analytical and reporting support across the corporate financial planning and analysis function. This role is responsible for recurring financial reporting, variance analysis, and a range of general analyst activities that keep the planning process running accurately and on schedule. It's a strong fit for an experienced analyst who can operate independently across multiple workstreams, bring rigor to recurring reporting processes, and take on hands-on work with financial systems within a fast-paced, still-maturing planning environment.
What You'll Do
- Prepare and maintain recurring financial reports, including variance analysis against budget and forecast.
- Support a range of reporting workstreams, including tracking spend against plan, maintaining supporting schedules, and helping ensure data accuracy.
- Assist in the preparation of monthly and quarterly reporting packages, financial summaries, and supporting schedules for the FP&A team.
- Compile, organize, and quality-check data feeding into planning templates, forecasts, and management reporting.
- Provide general analytical support across the team, including ad-hoc requests from the Director, FP&A and other business partners.
- Serve as a backup resource for OneStream administration, supporting system maintenance and troubleshooting as needed.
- Help maintain documentation and consistency of recurring reporting processes as the planning function continues to formalize.
- Identify and flag data inconsistencies or errors, escalating appropriately and supporting resolution.
What We Look For
- Bachelor's degree in Finance, Accounting, Business Administration, or related field.
- 5+ years of experience in FP&A, accounting, financial reporting, or a related analytical role.
- Exposure to OneStream or similar EPM/consolidation tools is a plus.
- Strong Excel skills; comfort working with large data sets and building clean, accurate schedules.
- Detail-oriented with a strong sense of ownership over accuracy and data quality.
- Self-motivated and comfortable operating in ambiguity, proactively taking ownership of new or evolving areas of work.
- Good communication skills and the ability to work collaboratively across a small, fast-moving team.
- Comfortable managing multiple recurring deliverables and shifting priorities in a high-pace environment.
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