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About Us:
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.
One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here.
POSITION SUMMARY:
The Sr Analyst, FP&A role will focus on delivering high-quality finance insights, forecasts and analysis to support the central FP&A team based in Amsterdam.
PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:
Financial Planning and forecasting:
- Support team in preparation of annual budgets, forecasts and long-range financial plans
- Use financial models to support scenario analysis and cost saving initiatives
Reporting and analysis
- Deliver monthly and quarterly performance reports, including variance analysis
- Preparation of retail analytics by hub/country/ product group
- Template upload for budgets/forecasts
- Standardize and simplify current reporting formats
- Gross margin consolidation model preparation with scenario analysis
- Prepare decks/presentations to senior management
Disclosure & Reporting
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Prepare quarter end reports/disclosure as requested by corporate teams
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- Conduct deep-dive analyses on business performance, cost optimization, and investment opportunities.
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Identify opportunities to streamline FP&A processes
.
SUPERVISORY RESPONSIBILITIES:
Direct: n/a
DECISION MAKING:
- Identify and resolve discrepancies in financial data independently, escalating complex or high-impact issues appropriately.
RESOURCEFULNESS/CREATIVITY:
- High attention to detail and accuracy.
- Ability to work independently and manage multiple priorities
- Effective communication and interpersonal skills
- Collaborative mindset with a focus on continuous improvement
- High integrity, ethics, and professionalism
ENVIRONMENT:
- Hybrid work model.
- Flexibility to work outside standard hours periodically to support global counterparts.
- Ability to manage multiple priorities and deliver results under tight deadlines.
QUALIFICATIONS & EXPERIENCE:
Experience: 5-8 years of relevant FP&A experience.
Education: Bachelor’s degree in accounting, Finance, or related field (required).
CPA, CMA, CA or other advanced certifications preferred.
Skills: Strong analytical and modeling skills (Excel, financial systems).
Proficiency in ERP systems and BI tools (SAP, Power BI).
Excellent communication and presentation skills.
Ability to manage multiple priorities in a fast-paced environment.
PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.
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About PVH (Calvin Klein, Tommy)
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Pros
Working on cutting-edge AI/ML technologies
Strong research and publication culture
Top-tier compensation with excellent equity
Cons
High expectations and pressure to deliver
Ambiguity in rapidly evolving field
Extremely fast-paced with constant changes
Interview Experience
44 interviews
Difficulty
3.9
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 67%
Neutral 21%
Negative 12%
Interview Process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common Questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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