Portfolio Optimization Analyst

Job Summary:
The Portfolio Optimization Business Analyst plays a key role in ensuring the integrity of product-related business intelligence and the effectiveness of portfolio optimization processes. This role operates in a fast-paced, global environment, managing multiple priorities while translating pricing strategies, contractual requirements, and product line needs into efficient operational processes. The Analyst performs commercial and data analysis to support portfolio decisions, customer management, and new business opportunities. This position drives continuous improvement of product line management processes that enhance profitability, efficiency, and customer experience.
Job Responsibilities:
 Translate pricing strategies, contractual terms, and product line requirements into automated business rules and operational processes.
 Maintain and manage data integrity and classification across pricing and product assortment portfolios.
 Perform commercial, financial, and data analysis to support product line and customer management decisions.
 Lead execution and continuous improvement of portfolio optimization processes such as assortment review, dead-stock review, and win-rate analysis.
 Support identification and evaluation of new business opportunities through analytical insights.
 Partner cross-functionally to deliver innovative, data-driven portfolio and pricing solutions.
 Manage multiple high-priority projects simultaneously while meeting deadlines and quality standards.
Qualifications/Requirements:
 Bachelor’s degree or equivalent required.
 Strong business, financial, and analytical acumen.
 Advanced proficiency in Microsoft Excel and other MS Office tools.
 Experience with SQL, automation analysis, or data-driven process optimization.
Requirements for Success:
 Strong analytical and critical-thinking skills.
 Detail-oriented with a process- and solutions-focused mindset.
 Ability to manage multiple projects and priorities effectively.
 Collaborative and relationship-driven approach to problem solving.
 Innovative, proactive learner committed to continuous improvement.