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Oceans

Oceans hires incredible operational talent, matching them with world-class startups around the globe.

FP&A Analyst

Financial Planning and AnalysisFinancial Planning and AnalysisFull TimeRemoteSeniorTeam 201-500H1B SponsorCompany SiteLinkedIn

Location

Sri Lanka

Posted

1 day ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expExperience acceptedEnglish

Job Description

FP&A Analyst

Oceans

• Build and maintain detailed financial models to support business planning and strategy. • Develop robust, defensible forecasts that help executives navigate future outcomes. • Continuously seek better ways to model and measure business performance. • Conduct variance analysis and go beyond accounting data to identify root causes. • Verify and validate data accuracy, flag inconsistencies, and propose corrections. • Analyze company-wide data to surface key trends and opportunities. • Build templates to track KPIs and performance metrics across the business. • Conduct ad-hoc financial analysis to support cross-functional needs. • Support senior leadership with updates on market dynamics and competition. • Field financial data queries from cross-functional teams. • Play a key role in investor communications and due diligence processes.

Job Requirements

  • Language Skills: Professional fluency in English, with excellent communication skills (reading, writing, speaking).
  • Experience: At least 4 years in Financial Planning & Analysis or a similar role. Prior experience in investment banking or consulting is a strong plus.
  • Education: A degree in Finance, Economics, Business Management, or a related field; equivalent work experience also considered.
  • Technical Skills: High proficiency in financial modeling using MS Excel and Google Sheets, together with a familiarity with business intelligence and data visualization tools is a plus.
  • Mindset & Approach: Methodical and detail-oriented, with strong analytical thinking and have the ability to work independently and proactively problem-solve. Comfortable working in fast-paced, data-heavy environments.

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